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<div class="quarto-title-block"><div><h1 class="title">Systematic literature review</h1><button type="button" class="btn code-tools-button dropdown-toggle" id="quarto-code-tools-menu" data-bs-toggle="dropdown" aria-expanded="false"><i class="bi"></i> Code</button><ul class="dropdown-menu dropdown-menu-end" aria-labelelledby="quarto-code-tools-menu"><li><a id="quarto-show-all-code" class="dropdown-item" href="javascript:void(0)" role="button">Show All Code</a></li><li><a id="quarto-hide-all-code" class="dropdown-item" href="javascript:void(0)" role="button">Hide All Code</a></li><li><hr class="dropdown-divider"></li><li><a id="quarto-view-source" class="dropdown-item" href="javascript:void(0)" role="button">View Source</a></li></ul></div></div>
<p class="subtitle lead">Automatic analysis of marketing publications using NLP <br> Data collection</p>
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<div class="quarto-title-meta-heading">Author</div>
<div class="quarto-title-meta-heading">Affiliation</div>
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<p class="author">Olivier CARON - Christophe BENAVENT </p>
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<p class="affiliation">
Paris Dauphine - PSL
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<div class="quarto-title-meta-heading">Published</div>
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<p class="date">May 11, 2023</p>
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<h2 id="toc-title">Table of contents</h2>
<ul>
<li><a href="#systematic-literature-review-using-r" id="toc-systematic-literature-review-using-r" class="nav-link active" data-scroll-target="#systematic-literature-review-using-r"><span class="header-section-number">1</span> Systematic Literature Review using R</a></li>
<li><a href="#libraries" id="toc-libraries" class="nav-link" data-scroll-target="#libraries"><span class="header-section-number">2</span> Libraries</a></li>
<li><a href="#getting-data-from-scopus-through-api" id="toc-getting-data-from-scopus-through-api" class="nav-link" data-scroll-target="#getting-data-from-scopus-through-api"><span class="header-section-number">3</span> Getting data from Scopus through API</a>
<ul class="collapse">
<li><a href="#articles-data-extraction" id="toc-articles-data-extraction" class="nav-link" data-scroll-target="#articles-data-extraction"><span class="header-section-number">3.1</span> Articles data extraction</a></li>
<li><a href="#collecting-the-references-of-the-articles" id="toc-collecting-the-references-of-the-articles" class="nav-link" data-scroll-target="#collecting-the-references-of-the-articles"><span class="header-section-number">3.2</span> Collecting the references of the articles</a></li>
<li><a href="#checking-the-number-of-references-retrieved" id="toc-checking-the-number-of-references-retrieved" class="nav-link" data-scroll-target="#checking-the-number-of-references-retrieved"><span class="header-section-number">3.3</span> Checking the number of references retrieved</a></li>
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<section id="systematic-literature-review-using-r" class="level2" data-number="1">
<h2 data-number="1" class="anchored" data-anchor-id="systematic-literature-review-using-r"><span class="header-section-number">1</span> Systematic Literature Review using R</h2>
<div class="cell">
<details>
<summary>Display code</summary>
<div class="sourceCode cell-code" id="cb1"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb1-1"><a href="#cb1-1" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(<span class="st">"cowsay"</span>)</span>
<span id="cb1-2"><a href="#cb1-2" aria-hidden="true" tabindex="-1"></a><span class="fu">library</span>(<span class="st">"multicolor"</span>)</span>
<span id="cb1-3"><a href="#cb1-3" aria-hidden="true" tabindex="-1"></a><span class="fu">say</span>(<span class="at">what =</span> <span class="st">" Hello, we aim to show how to do a systematic literature review using Scopus</span></span>
<span id="cb1-4"><a href="#cb1-4" aria-hidden="true" tabindex="-1"></a><span class="st"> directly through the API using R. We then analyze the documents and the different data</span></span>
<span id="cb1-5"><a href="#cb1-5" aria-hidden="true" tabindex="-1"></a><span class="st"> to have a better understanding of the scholar landscape for a specific concern.</span></span>
<span id="cb1-6"><a href="#cb1-6" aria-hidden="true" tabindex="-1"></a><span class="st"> Here, we have a specific interest in NLP methods and we filter by the reviews </span></span>
<span id="cb1-7"><a href="#cb1-7" aria-hidden="true" tabindex="-1"></a><span class="st"> that contain the words </span><span class="sc">\"</span><span class="st">consumer</span><span class="sc">\"</span><span class="st"> or </span><span class="sc">\"</span><span class="st">marketing</span><span class="sc">\"</span><span class="st">."</span>,</span>
<span id="cb1-8"><a href="#cb1-8" aria-hidden="true" tabindex="-1"></a> <span class="at">by =</span> <span class="st">"cat"</span>,</span>
<span id="cb1-9"><a href="#cb1-9" aria-hidden="true" tabindex="-1"></a> <span class="at">what_color =</span> <span class="st">"white"</span>,</span>
<span id="cb1-10"><a href="#cb1-10" aria-hidden="true" tabindex="-1"></a> <span class="at">by_color =</span> <span class="st">"rainbow"</span>)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output cell-output-stdout">
<pre><code>
--------------
Hello, we aim to show how to do a systematic literature review using Scopus
directly through the API using R. We then analyze the documents and the different data
to have a better understanding of the scholar landscape for a specific concern.
Here, we have a specific interest in NLP methods and we filter by the reviews
that contain the words "consumer" or "marketing".
--------------
\
\
\
|\___/|
==) ^Y^ (==
\ ^ /
)=*=(
/ \
| |
/| | | |\
\| | |_|/\
jgs //_// ___/
\_)
</code></pre>
</div>
</div>
</section>
<section id="libraries" class="level2" data-number="2">
<h2 data-number="2" class="anchored" data-anchor-id="libraries"><span class="header-section-number">2</span> Libraries</h2>
<div class="cell">
<details>
<summary>Display code</summary>
<div class="sourceCode cell-code" id="cb3"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb3-1"><a href="#cb3-1" aria-hidden="true" tabindex="-1"></a>package_list <span class="ot"><-</span> <span class="fu">c</span>(</span>
<span id="cb3-2"><a href="#cb3-2" aria-hidden="true" tabindex="-1"></a> <span class="st">"tidyverse"</span>,</span>
<span id="cb3-3"><a href="#cb3-3" aria-hidden="true" tabindex="-1"></a> <span class="st">"ggplot2"</span>,</span>
<span id="cb3-4"><a href="#cb3-4" aria-hidden="true" tabindex="-1"></a> <span class="st">"bib2df"</span>, <span class="co"># for cleaning .bib data</span></span>
<span id="cb3-5"><a href="#cb3-5" aria-hidden="true" tabindex="-1"></a> <span class="st">"janitor"</span>, <span class="co"># useful functions for cleaning imported data</span></span>
<span id="cb3-6"><a href="#cb3-6" aria-hidden="true" tabindex="-1"></a> <span class="st">"rscopus"</span>, <span class="co"># using Scopus API</span></span>
<span id="cb3-7"><a href="#cb3-7" aria-hidden="true" tabindex="-1"></a> <span class="st">"biblionetwork"</span>, <span class="co"># creating edges</span></span>
<span id="cb3-8"><a href="#cb3-8" aria-hidden="true" tabindex="-1"></a> <span class="st">"tidygraph"</span>, <span class="co"># for creating networks</span></span>
<span id="cb3-9"><a href="#cb3-9" aria-hidden="true" tabindex="-1"></a> <span class="st">"ggraph"</span>, <span class="co"># plotting networks</span></span>
<span id="cb3-10"><a href="#cb3-10" aria-hidden="true" tabindex="-1"></a> <span class="st">"bibliometrix"</span>, <span class="co">#using shiny to do analysis of literature review</span></span>
<span id="cb3-11"><a href="#cb3-11" aria-hidden="true" tabindex="-1"></a> <span class="st">"rscopus"</span>,<span class="co">#for using scorpus</span></span>
<span id="cb3-12"><a href="#cb3-12" aria-hidden="true" tabindex="-1"></a> <span class="st">"readr"</span>, <span class="co">#manipulate csv, excel files</span></span>
<span id="cb3-13"><a href="#cb3-13" aria-hidden="true" tabindex="-1"></a> <span class="st">"quanteda"</span>, <span class="co">#textual manipulation</span></span>
<span id="cb3-14"><a href="#cb3-14" aria-hidden="true" tabindex="-1"></a> <span class="st">"tidyr"</span>, <span class="co">#to use separate_wider_delim function</span></span>
<span id="cb3-15"><a href="#cb3-15" aria-hidden="true" tabindex="-1"></a> <span class="st">"splitstackshape"</span>, <span class="co">#to use cSplit function</span></span>
<span id="cb3-16"><a href="#cb3-16" aria-hidden="true" tabindex="-1"></a> <span class="st">"rcrossref"</span>, <span class="co">#to use API for crossref</span></span>
<span id="cb3-17"><a href="#cb3-17" aria-hidden="true" tabindex="-1"></a> <span class="st">"rstudioapi"</span>, <span class="co">#to secure the tokens</span></span>
<span id="cb3-18"><a href="#cb3-18" aria-hidden="true" tabindex="-1"></a> <span class="st">"igraph"</span>, <span class="co">#to construct wonderful graphs</span></span>
<span id="cb3-19"><a href="#cb3-19" aria-hidden="true" tabindex="-1"></a> <span class="st">"stringr"</span>, <span class="co">#to count number of characters in a string</span></span>
<span id="cb3-20"><a href="#cb3-20" aria-hidden="true" tabindex="-1"></a> <span class="st">"plotly"</span>, <span class="co">#use plotly to have interactive graphs</span></span>
<span id="cb3-21"><a href="#cb3-21" aria-hidden="true" tabindex="-1"></a> <span class="st">"networkD3"</span>, <span class="co">#have fun manipulating interactive networks</span></span>
<span id="cb3-22"><a href="#cb3-22" aria-hidden="true" tabindex="-1"></a> <span class="st">"htmlwidgets"</span>, <span class="co">#to save widget 3d graphs</span></span>
<span id="cb3-23"><a href="#cb3-23" aria-hidden="true" tabindex="-1"></a> <span class="st">"cowsay"</span>, <span class="co">#funny animals talking</span></span>
<span id="cb3-24"><a href="#cb3-24" aria-hidden="true" tabindex="-1"></a> <span class="co">#"multicolor", #to have a multicolor font </span></span>
<span id="cb3-25"><a href="#cb3-25" aria-hidden="true" tabindex="-1"></a> <span class="st">"hrbrthemes"</span>, <span class="co">#nice theme for ggplot2</span></span>
<span id="cb3-26"><a href="#cb3-26" aria-hidden="true" tabindex="-1"></a> <span class="st">"ggstatsplot"</span>, <span class="co">#nice visualizations with stats included in graphs</span></span>
<span id="cb3-27"><a href="#cb3-27" aria-hidden="true" tabindex="-1"></a> <span class="st">"ggridges"</span>, <span class="co">#nice graphs with density</span></span>
<span id="cb3-28"><a href="#cb3-28" aria-hidden="true" tabindex="-1"></a> <span class="st">"see"</span>, <span class="co">#Model Visualisation Toolbox for 'easystats' and 'ggplot2'</span></span>
<span id="cb3-29"><a href="#cb3-29" aria-hidden="true" tabindex="-1"></a> <span class="st">"countrycode"</span>, <span class="co">#gives continent based on country name</span></span>
<span id="cb3-30"><a href="#cb3-30" aria-hidden="true" tabindex="-1"></a> <span class="st">"tidygeocoder"</span>, <span class="co">#to get latitude and longitude to place points on worldmap, ggmap can apparently do the same but needs an API</span></span>
<span id="cb3-31"><a href="#cb3-31" aria-hidden="true" tabindex="-1"></a> <span class="st">"lmtest"</span>, <span class="co">#to do linear regression</span></span>
<span id="cb3-32"><a href="#cb3-32" aria-hidden="true" tabindex="-1"></a> <span class="st">"flextable"</span>, <span class="co">#to present results in nice tables</span></span>
<span id="cb3-33"><a href="#cb3-33" aria-hidden="true" tabindex="-1"></a> <span class="st">"ggthemes"</span>, <span class="co">#have nice themes for ggplot</span></span>
<span id="cb3-34"><a href="#cb3-34" aria-hidden="true" tabindex="-1"></a> <span class="st">"gganimate"</span>, <span class="co">#to animate ggplot</span></span>
<span id="cb3-35"><a href="#cb3-35" aria-hidden="true" tabindex="-1"></a> <span class="st">"transformr"</span>,<span class="co"># to animate ggplot</span></span>
<span id="cb3-36"><a href="#cb3-36" aria-hidden="true" tabindex="-1"></a> <span class="st">"gifski"</span>, <span class="co">#to animate ggplot</span></span>
<span id="cb3-37"><a href="#cb3-37" aria-hidden="true" tabindex="-1"></a> <span class="st">"text2vec"</span>, <span class="co">#word embeddings</span></span>
<span id="cb3-38"><a href="#cb3-38" aria-hidden="true" tabindex="-1"></a> <span class="st">"gglorenz"</span>,<span class="co">#lorenz curve and gini coefficient</span></span>
<span id="cb3-39"><a href="#cb3-39" aria-hidden="true" tabindex="-1"></a> <span class="st">"clipr"</span>, <span class="co">#to copy paste dataframe with write_clip(data)</span></span>
<span id="cb3-40"><a href="#cb3-40" aria-hidden="true" tabindex="-1"></a> <span class="st">"reticulate"</span>, <span class="co">#execute python code from R</span></span>
<span id="cb3-41"><a href="#cb3-41" aria-hidden="true" tabindex="-1"></a> <span class="co">#"citecorp" #</span></span>
<span id="cb3-42"><a href="#cb3-42" aria-hidden="true" tabindex="-1"></a> <span class="st">"lubridate"</span>, <span class="co">#manipulate dates, soon to be by default in the tidyverse package</span></span>
<span id="cb3-43"><a href="#cb3-43" aria-hidden="true" tabindex="-1"></a> <span class="st">"textrank"</span>,</span>
<span id="cb3-44"><a href="#cb3-44" aria-hidden="true" tabindex="-1"></a> <span class="st">"reactable"</span></span>
<span id="cb3-45"><a href="#cb3-45" aria-hidden="true" tabindex="-1"></a>)</span>
<span id="cb3-46"><a href="#cb3-46" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span> (p <span class="cf">in</span> package_list) </span>
<span id="cb3-47"><a href="#cb3-47" aria-hidden="true" tabindex="-1"></a>{</span>
<span id="cb3-48"><a href="#cb3-48" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (p <span class="sc">%in%</span> <span class="fu">installed.packages</span>() <span class="sc">==</span> <span class="cn">FALSE</span>) </span>
<span id="cb3-49"><a href="#cb3-49" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb3-50"><a href="#cb3-50" aria-hidden="true" tabindex="-1"></a> <span class="fu">install.packages</span>(p, <span class="at">dependencies =</span> <span class="cn">TRUE</span>)</span>
<span id="cb3-51"><a href="#cb3-51" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb3-52"><a href="#cb3-52" aria-hidden="true" tabindex="-1"></a> <span class="fu">library</span>(p, <span class="at">character.only =</span> <span class="cn">TRUE</span>)</span>
<span id="cb3-53"><a href="#cb3-53" aria-hidden="true" tabindex="-1"></a>}</span>
<span id="cb3-54"><a href="#cb3-54" aria-hidden="true" tabindex="-1"></a><span class="fu">rm</span>(p,package_list)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
</div>
<p>We can also do it from the Scopus website. We can type our search and even get the query by enabling the “advance query” button. We filter by NLP methods in marketing journals with the keywords <code>marketing</code> or <code>consumer</code> in the source (<em>title</em>, <em>abtract</em>, <em>author</em>). The pro of using directly the <a href="https://johnmuschelli.com/rscopus/">rscopus</a> package is that we can execute it easily without having to connect on the website, download the file and place it in the right folder every time we want to update our code. Also, the references are easy to manipulate this way.</p>
</section>
<section id="getting-data-from-scopus-through-api" class="level2" data-number="3">
<h2 data-number="3" class="anchored" data-anchor-id="getting-data-from-scopus-through-api"><span class="header-section-number">3</span> Getting data from Scopus through API</h2>
<p>The Scopus data that we get from the <a href="https://johnmuschelli.com/rscopus/">rscopus</a> package is a bit different from the file we get when we download the metadata on the website. We here get raw data that we transform with rscopus into exploitable data. From there, three data frames are useful:</p>
<table class="table">
<colgroup>
<col style="width: 37%">
<col style="width: 62%">
</colgroup>
<thead>
<tr class="header">
<th>Name of data frame</th>
<th>Description</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td><code>df</code></td>
<td>A data frame with all the papers and the information attached</td>
</tr>
<tr class="even">
<td><code>affiliation</code></td>
<td>A data frame with the affiliations</td>
</tr>
<tr class="odd">
<td><code>author</code></td>
<td>A data frame with the authors’ information. (the largest data frame since there are often multiple authors per paper per affiliation).</td>
</tr>
</tbody>
</table>
<p>All these data can be merged in one data frame only providing we use the authors’ data frame, containing one row for every author present in the articles.</p>
<section id="articles-data-extraction" class="level3" data-number="3.1">
<h3 data-number="3.1" class="anchored" data-anchor-id="articles-data-extraction"><span class="header-section-number">3.1</span> Articles data extraction</h3>
<div class="cell">
<details>
<summary>Display code</summary>
<div class="sourceCode cell-code" id="cb4"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb4-1"><a href="#cb4-1" aria-hidden="true" tabindex="-1"></a><span class="co">#hiding api keys and Elsevier's institutional token in the code</span></span>
<span id="cb4-2"><a href="#cb4-2" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-3"><a href="#cb4-3" aria-hidden="true" tabindex="-1"></a>t1 <span class="ot"><-</span> <span class="fu">Sys.time</span>()</span>
<span id="cb4-4"><a href="#cb4-4" aria-hidden="true" tabindex="-1"></a><span class="co">#api_key <- rstudioapi::askForPassword(prompt = "Please enter the API key")</span></span>
<span id="cb4-5"><a href="#cb4-5" aria-hidden="true" tabindex="-1"></a>api_key <span class="ot"><-</span> <span class="st">"xxxx"</span></span>
<span id="cb4-6"><a href="#cb4-6" aria-hidden="true" tabindex="-1"></a><span class="fu">set_api_key</span>(api_key)</span>
<span id="cb4-7"><a href="#cb4-7" aria-hidden="true" tabindex="-1"></a><span class="co">#token <- rstudioapi::askForPassword(prompt = "Please enter the Institutional Token")</span></span>
<span id="cb4-8"><a href="#cb4-8" aria-hidden="true" tabindex="-1"></a>token <span class="ot"><-</span> <span class="st">"yyyy"</span></span>
<span id="cb4-9"><a href="#cb4-9" aria-hidden="true" tabindex="-1"></a>hdr <span class="ot">=</span> <span class="fu">inst_token_header</span>(token)</span>
<span id="cb4-10"><a href="#cb4-10" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-11"><a href="#cb4-11" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb4-12"><a href="#cb4-12" aria-hidden="true" tabindex="-1"></a>nlp_query <span class="ot"><-</span> rscopus<span class="sc">::</span><span class="fu">scopus_search</span>(<span class="st">"TITLE-ABS-KEY(</span><span class="sc">\"</span><span class="st">natural language processing</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">nlp</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">text mining</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">text-mining</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">text analysis</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">text-analysis</span><span class="sc">\"</span><span class="st">) AND SRCTITLE(</span><span class="sc">\"</span><span class="st">marketing</span><span class="sc">\"</span><span class="st"> OR </span><span class="sc">\"</span><span class="st">consumer</span><span class="sc">\"</span><span class="st">)"</span>, </span>
<span id="cb4-13"><a href="#cb4-13" aria-hidden="true" tabindex="-1"></a> <span class="at">view =</span> <span class="st">"COMPLETE"</span>,</span>
<span id="cb4-14"><a href="#cb4-14" aria-hidden="true" tabindex="-1"></a> <span class="at">headers =</span> hdr)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output cell-output-stdout">
<pre><code>list(query = "TITLE-ABS-KEY(\"natural language processing\" OR \"nlp\" OR \"text mining\" OR \"text-mining\" OR \"text analysis\" OR \"text-analysis\") AND SRCTITLE(\"marketing\" OR \"consumer\")",
count = 25, start = 0, view = "COMPLETE")
$query
[1] "TITLE-ABS-KEY(\"natural language processing\" OR \"nlp\" OR \"text mining\" OR \"text-mining\" OR \"text analysis\" OR \"text-analysis\") AND SRCTITLE(\"marketing\" OR \"consumer\")"
$count
[1] 25
$start
[1] 0
$view
[1] "COMPLETE"
Response [https://api.elsevier.com/content/search/scopus?query=TITLE-ABS-KEY%28%22natural%20language%20processing%22%20OR%20%22nlp%22%20OR%20%22text%20mining%22%20OR%20%22text-mining%22%20OR%20%22text%20analysis%22%20OR%20%22text-analysis%22%29%20AND%20SRCTITLE%28%22marketing%22%20OR%20%22consumer%22%29&count=25&start=0&view=COMPLETE]
Date: 2023-05-11 17:01
Status: 200
Content-Type: application/json;charset=UTF-8
Size: 115 kB
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</div>
<details>
<summary>Display code</summary>
<div class="sourceCode cell-code" id="cb6"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb6-1"><a href="#cb6-1" aria-hidden="true" tabindex="-1"></a><span class="co">#we get a list with 4 different dataframes : df, affiliations, author, prism:isbn</span></span>
<span id="cb6-2"><a href="#cb6-2" aria-hidden="true" tabindex="-1"></a><span class="co">#nlp_data_raw <- readRDS("nlp_data_raw.rds")</span></span>
<span id="cb6-3"><a href="#cb6-3" aria-hidden="true" tabindex="-1"></a>nlp_data_raw <span class="ot"><-</span> <span class="fu">gen_entries_to_df</span>(nlp_query<span class="sc">$</span>entries)</span>
<span id="cb6-4"><a href="#cb6-4" aria-hidden="true" tabindex="-1"></a><span class="co">#saveRDS(nlp_data_raw,"nlp_data_raw.rds")</span></span>
<span id="cb6-5"><a href="#cb6-5" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-6"><a href="#cb6-6" aria-hidden="true" tabindex="-1"></a><span class="co">#res = author_df(last_name = "Benavent", first_name = "Christophe", verbose = FALSE, general = FALSE, headers = hdr)</span></span>
<span id="cb6-7"><a href="#cb6-7" aria-hidden="true" tabindex="-1"></a><span class="co">#head(res)</span></span>
<span id="cb6-8"><a href="#cb6-8" aria-hidden="true" tabindex="-1"></a><span class="co">#dataframes ready to use/transform</span></span>
<span id="cb6-9"><a href="#cb6-9" aria-hidden="true" tabindex="-1"></a>nlp_papers <span class="ot"><-</span> nlp_data_raw<span class="sc">$</span>df</span>
<span id="cb6-10"><a href="#cb6-10" aria-hidden="true" tabindex="-1"></a>nlp_affiliations <span class="ot"><-</span> nlp_data_raw<span class="sc">$</span>affiliation <span class="co">#details of universities</span></span>
<span id="cb6-11"><a href="#cb6-11" aria-hidden="true" tabindex="-1"></a>nlp_authors <span class="ot"><-</span> nlp_data_raw<span class="sc">$</span>author</span>
<span id="cb6-12"><a href="#cb6-12" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-13"><a href="#cb6-13" aria-hidden="true" tabindex="-1"></a><span class="co">#we replace "-" by "_" in the columnns' names for easier manipulation</span></span>
<span id="cb6-14"><a href="#cb6-14" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(nlp_authors) <span class="ot"><-</span> <span class="fu">str_replace_all</span>(<span class="fu">names</span>(nlp_authors), <span class="st">"-"</span>, <span class="st">"_"</span>)</span>
<span id="cb6-15"><a href="#cb6-15" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(nlp_affiliations) <span class="ot"><-</span> <span class="fu">str_replace_all</span>(<span class="fu">names</span>(nlp_affiliations), <span class="st">"-"</span>, <span class="st">"_"</span>)</span>
<span id="cb6-16"><a href="#cb6-16" aria-hidden="true" tabindex="-1"></a><span class="fu">names</span>(nlp_papers) <span class="ot"><-</span> <span class="fu">str_replace_all</span>(<span class="fu">names</span>(nlp_papers), <span class="st">"-"</span>, <span class="st">"_"</span>)</span>
<span id="cb6-17"><a href="#cb6-17" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-18"><a href="#cb6-18" aria-hidden="true" tabindex="-1"></a>nlp_authors <span class="ot"><-</span> nlp_authors <span class="sc">%>%</span></span>
<span id="cb6-19"><a href="#cb6-19" aria-hidden="true" tabindex="-1"></a> dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="st">"afid"</span> <span class="ot">=</span> <span class="st">`</span><span class="at">afid.$</span><span class="st">`</span>)</span>
<span id="cb6-20"><a href="#cb6-20" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-21"><a href="#cb6-21" aria-hidden="true" tabindex="-1"></a><span class="co">#we get the continent for each country</span></span>
<span id="cb6-22"><a href="#cb6-22" aria-hidden="true" tabindex="-1"></a>nlp_authors <span class="ot"><-</span> nlp_authors <span class="sc">%>%</span> <span class="fu">select</span>(entry_number,<span class="fu">everything</span>())</span>
<span id="cb6-23"><a href="#cb6-23" aria-hidden="true" tabindex="-1"></a>nlp_affiliations <span class="ot"><-</span> nlp_affiliations <span class="sc">%>%</span> <span class="fu">select</span>(entry_number,<span class="fu">everything</span>()) <span class="sc">%>%</span></span>
<span id="cb6-24"><a href="#cb6-24" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">continent =</span> <span class="fu">countrycode</span>(<span class="at">sourcevar =</span> affiliation_country,</span>
<span id="cb6-25"><a href="#cb6-25" aria-hidden="true" tabindex="-1"></a> <span class="at">origin =</span> <span class="st">"country.name"</span>,</span>
<span id="cb6-26"><a href="#cb6-26" aria-hidden="true" tabindex="-1"></a> <span class="at">destination =</span> <span class="st">"continent"</span>))</span>
<span id="cb6-27"><a href="#cb6-27" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-28"><a href="#cb6-28" aria-hidden="true" tabindex="-1"></a>nlp_papers <span class="ot"><-</span> nlp_papers <span class="sc">%>%</span> <span class="fu">select</span>(entry_number,<span class="fu">everything</span>())</span>
<span id="cb6-29"><a href="#cb6-29" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-30"><a href="#cb6-30" aria-hidden="true" tabindex="-1"></a>authors_affiliations <span class="ot"><-</span><span class="fu">left_join</span>(nlp_authors,nlp_affiliations)</span>
<span id="cb6-31"><a href="#cb6-31" aria-hidden="true" tabindex="-1"></a>nlp_papers <span class="ot"><-</span> nlp_papers <span class="sc">%>%</span></span>
<span id="cb6-32"><a href="#cb6-32" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">entry_number =</span> <span class="fu">as.numeric</span>(entry_number))</span>
<span id="cb6-33"><a href="#cb6-33" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-34"><a href="#cb6-34" aria-hidden="true" tabindex="-1"></a>nlp_full <span class="ot"><-</span> <span class="fu">left_join</span>(authors_affiliations,nlp_papers)</span>
<span id="cb6-35"><a href="#cb6-35" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-36"><a href="#cb6-36" aria-hidden="true" tabindex="-1"></a>nlp_full <span class="ot"><-</span> nlp_full <span class="sc">%>%</span></span>
<span id="cb6-37"><a href="#cb6-37" aria-hidden="true" tabindex="-1"></a> dplyr<span class="sc">::</span><span class="fu">rename</span>(<span class="st">"author_count"</span> <span class="ot">=</span> <span class="st">`</span><span class="at">author_count.$</span><span class="st">`</span>) <span class="sc">%>%</span></span>
<span id="cb6-38"><a href="#cb6-38" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">author_count =</span> <span class="fu">as.numeric</span>(author_count)) <span class="sc">%>%</span></span>
<span id="cb6-39"><a href="#cb6-39" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="st">"year"</span> <span class="ot">=</span> <span class="fu">substr</span>(<span class="st">`</span><span class="at">prism:coverDate</span><span class="st">`</span>,<span class="dv">1</span>,<span class="dv">4</span>)) <span class="sc">%>%</span></span>
<span id="cb6-40"><a href="#cb6-40" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="at">citedby_count =</span> <span class="fu">as.numeric</span>(citedby_count))</span>
<span id="cb6-41"><a href="#cb6-41" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-42"><a href="#cb6-42" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb6-43"><a href="#cb6-43" aria-hidden="true" tabindex="-1"></a><span class="co">#csv2 uses comma as separator while csv uses decimal point .</span></span>
<span id="cb6-44"><a href="#cb6-44" aria-hidden="true" tabindex="-1"></a>readr<span class="sc">::</span><span class="fu">write_excel_csv2</span>(nlp_full,<span class="st">"nlp_full_data.csv"</span>)</span>
<span id="cb6-45"><a href="#cb6-45" aria-hidden="true" tabindex="-1"></a><span class="co">#nlp_references <- read.csv("nlp_references.csv", sep=";", encoding="UTF-8-BOM")</span></span>
<span id="cb6-46"><a href="#cb6-46" aria-hidden="true" tabindex="-1"></a><span class="co">#nlp_full <- read.csv("nlp_full_data.csv", sep=";", encoding ="UTF-8-BOM")</span></span>
<span id="cb6-47"><a href="#cb6-47" aria-hidden="true" tabindex="-1"></a><span class="fu">print</span>(<span class="fu">Sys.time</span>()<span class="sc">-</span>t1)</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output cell-output-stdout">
<pre><code>Time difference of 17.8854 secs</code></pre>
</div>
</div>
</section>
<section id="collecting-the-references-of-the-articles" class="level3" data-number="3.2">
<h3 data-number="3.2" class="anchored" data-anchor-id="collecting-the-references-of-the-articles"><span class="header-section-number">3.2</span> Collecting the references of the articles</h3>
<p>The <a href="https://johnmuschelli.com/rscopus/reference/scopus_search.html" title="scopus_search function"><code>scopus_search</code></a> function doesn’t allow us to get the references of the articles. We have to use the <a href="https://johnmuschelli.com/rscopus/reference/abstract_retrieval.html" title="abstract_retrieval function"><code>abstract_retrieval</code></a> function.</p>
<div class="cell">
<details>
<summary>Display code</summary>
<div class="sourceCode cell-code" id="cb8"><pre class="sourceCode r code-with-copy"><code class="sourceCode r"><span id="cb8-1"><a href="#cb8-1" aria-hidden="true" tabindex="-1"></a>t1 <span class="ot"><-</span> <span class="fu">Sys.time</span>()</span>
<span id="cb8-2"><a href="#cb8-2" aria-hidden="true" tabindex="-1"></a>citing_articles <span class="ot"><-</span> nlp_papers<span class="sc">$</span><span class="st">`</span><span class="at">dc:identifier</span><span class="st">`</span> <span class="co"># extracting the SCOPUS IDs of our articles</span></span>
<span id="cb8-3"><a href="#cb8-3" aria-hidden="true" tabindex="-1"></a>citation_list <span class="ot"><-</span> <span class="fu">list</span>()</span>
<span id="cb8-4"><a href="#cb8-4" aria-hidden="true" tabindex="-1"></a>subjects_list <span class="ot"><-</span> <span class="fu">list</span>()</span>
<span id="cb8-5"><a href="#cb8-5" aria-hidden="true" tabindex="-1"></a>number_ref <span class="ot"><-</span> <span class="fu">data.frame</span>()</span>
<span id="cb8-6"><a href="#cb8-6" aria-hidden="true" tabindex="-1"></a>number_ref <span class="ot"><-</span> number_ref <span class="sc">%>%</span> <span class="co">#dataframe with scopus_ID and the number of references attached</span></span>
<span id="cb8-7"><a href="#cb8-7" aria-hidden="true" tabindex="-1"></a> <span class="fu">mutate</span>(<span class="st">`</span><span class="at">dc:identifier</span><span class="st">`</span> <span class="ot">=</span> <span class="st">""</span>, </span>
<span id="cb8-8"><a href="#cb8-8" aria-hidden="true" tabindex="-1"></a> <span class="at">nref =</span> <span class="st">""</span>)</span>
<span id="cb8-9"><a href="#cb8-9" aria-hidden="true" tabindex="-1"></a></span>
<span id="cb8-10"><a href="#cb8-10" aria-hidden="true" tabindex="-1"></a><span class="co">#extraction of references is somewhat complicated. Scopus doesn't allow to get all the references</span></span>
<span id="cb8-11"><a href="#cb8-11" aria-hidden="true" tabindex="-1"></a><span class="co">#of all the articles in one function. We then need to loop through each article we got from</span></span>
<span id="cb8-12"><a href="#cb8-12" aria-hidden="true" tabindex="-1"></a><span class="co">#the previous query and get the citation list of each article.</span></span>
<span id="cb8-13"><a href="#cb8-13" aria-hidden="true" tabindex="-1"></a><span class="cf">for</span>(i <span class="cf">in</span> <span class="dv">1</span><span class="sc">:</span><span class="fu">length</span>(citing_articles))</span>
<span id="cb8-14"><a href="#cb8-14" aria-hidden="true" tabindex="-1"></a>{</span>
<span id="cb8-15"><a href="#cb8-15" aria-hidden="true" tabindex="-1"></a> <span class="co">#list of citations</span></span>
<span id="cb8-16"><a href="#cb8-16" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="fu">paste0</span>(<span class="st">"Article n°"</span>,i,<span class="st">"</span><span class="sc">\n</span><span class="st">"</span>))</span>
<span id="cb8-17"><a href="#cb8-17" aria-hidden="true" tabindex="-1"></a> citations_query <span class="ot"><-</span> <span class="fu">abstract_retrieval</span>(citing_articles[i],</span>
<span id="cb8-18"><a href="#cb8-18" aria-hidden="true" tabindex="-1"></a> <span class="at">identifier =</span> <span class="st">"scopus_id"</span>,</span>
<span id="cb8-19"><a href="#cb8-19" aria-hidden="true" tabindex="-1"></a> <span class="at">view =</span> <span class="st">"REF"</span>,</span>
<span id="cb8-20"><a href="#cb8-20" aria-hidden="true" tabindex="-1"></a> <span class="at">headers =</span> hdr)</span>
<span id="cb8-21"><a href="#cb8-21" aria-hidden="true" tabindex="-1"></a> <span class="co">#list of subjects associated with the article</span></span>
<span id="cb8-22"><a href="#cb8-22" aria-hidden="true" tabindex="-1"></a> subjects_query <span class="ot"><-</span> <span class="fu">abstract_retrieval</span>(citing_articles[i],</span>
<span id="cb8-23"><a href="#cb8-23" aria-hidden="true" tabindex="-1"></a> <span class="at">identifier =</span> <span class="st">"scopus_id"</span>,</span>
<span id="cb8-24"><a href="#cb8-24" aria-hidden="true" tabindex="-1"></a> <span class="at">view =</span> <span class="st">"FULL"</span>,</span>
<span id="cb8-25"><a href="#cb8-25" aria-hidden="true" tabindex="-1"></a> <span class="at">headers =</span> hdr)</span>
<span id="cb8-26"><a href="#cb8-26" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-27"><a href="#cb8-27" aria-hidden="true" tabindex="-1"></a> <span class="co">#we put the list of references in the citations variables.</span></span>
<span id="cb8-28"><a href="#cb8-28" aria-hidden="true" tabindex="-1"></a> <span class="co">#gen_entries_to_df transforms the complicated data structure sent by Scopus into an easily manipulable dataframe</span></span>
<span id="cb8-29"><a href="#cb8-29" aria-hidden="true" tabindex="-1"></a> citations <span class="ot"><-</span> <span class="fu">gen_entries_to_df</span>(citations_query<span class="sc">$</span>content<span class="sc">$</span><span class="st">`</span><span class="at">abstracts-retrieval-response</span><span class="st">`</span><span class="sc">$</span>references<span class="sc">$</span>reference)</span>
<span id="cb8-30"><a href="#cb8-30" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-31"><a href="#cb8-31" aria-hidden="true" tabindex="-1"></a> <span class="co">#same with subject areas</span></span>
<span id="cb8-32"><a href="#cb8-32" aria-hidden="true" tabindex="-1"></a> subjects <span class="ot"><-</span> <span class="fu">gen_entries_to_df</span>(subjects_query<span class="sc">$</span>content<span class="sc">$</span><span class="st">`</span><span class="at">abstracts-retrieval-response</span><span class="st">`</span><span class="sc">$</span><span class="st">`</span><span class="at">subject-areas</span><span class="st">`</span><span class="sc">$</span><span class="st">`</span><span class="at">subject-area</span><span class="st">`</span>)</span>
<span id="cb8-33"><a href="#cb8-33" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-34"><a href="#cb8-34" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(<span class="fu">length</span>(citations<span class="sc">$</span>df) <span class="sc">></span> <span class="dv">0</span>) <span class="co">#if request is not null</span></span>
<span id="cb8-35"><a href="#cb8-35" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-36"><a href="#cb8-36" aria-hidden="true" tabindex="-1"></a> nb_total_refs <span class="ot"><-</span> <span class="fu">as.numeric</span>(citations_query<span class="sc">$</span>content<span class="sc">$</span><span class="st">`</span><span class="at">abstracts-retrieval-response</span><span class="st">`</span><span class="sc">$</span>references<span class="sc">$</span><span class="st">`</span><span class="at">@total-references</span><span class="st">`</span>)</span>
<span id="cb8-37"><a href="#cb8-37" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="st">"Total number of references :"</span>, nb_total_refs,<span class="st">"</span><span class="sc">\n</span><span class="st">"</span>)</span>
<span id="cb8-38"><a href="#cb8-38" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-39"><a href="#cb8-39" aria-hidden="true" tabindex="-1"></a> nb_ref_article <span class="ot"><-</span> nb_total_refs<span class="dv">-40</span> <span class="co">#number of references we still need to get by querying</span></span>
<span id="cb8-40"><a href="#cb8-40" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-41"><a href="#cb8-41" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(nb_ref_article <span class="sc">></span> <span class="dv">0</span>)</span>
<span id="cb8-42"><a href="#cb8-42" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-43"><a href="#cb8-43" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="st">"Number of references left to retrieve : "</span>, nb_ref_article, <span class="st">"</span><span class="sc">\n</span><span class="st">"</span>)</span>
<span id="cb8-44"><a href="#cb8-44" aria-hidden="true" tabindex="-1"></a> } <span class="cf">else</span></span>
<span id="cb8-45"><a href="#cb8-45" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-46"><a href="#cb8-46" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="st">"All references are already retrieved.</span><span class="sc">\n</span><span class="st">"</span>)</span>
<span id="cb8-47"><a href="#cb8-47" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-48"><a href="#cb8-48" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-49"><a href="#cb8-49" aria-hidden="true" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste0</span>(citing_articles[i], <span class="st">" ref is not empty."</span>))</span>
<span id="cb8-50"><a href="#cb8-50" aria-hidden="true" tabindex="-1"></a> citations <span class="ot"><-</span> citations<span class="sc">$</span>df <span class="sc">%>%</span> </span>
<span id="cb8-51"><a href="#cb8-51" aria-hidden="true" tabindex="-1"></a> <span class="fu">as_tibble</span>(<span class="at">.name_repair =</span> <span class="st">"unique"</span>)</span>
<span id="cb8-52"><a href="#cb8-52" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-53"><a href="#cb8-53" aria-hidden="true" tabindex="-1"></a> <span class="co">#we put the number of references of the article in the number_ref dataframe created above</span></span>
<span id="cb8-54"><a href="#cb8-54" aria-hidden="true" tabindex="-1"></a> number_ref[i,<span class="dv">1</span>] <span class="ot"><-</span> citing_articles[i]</span>
<span id="cb8-55"><a href="#cb8-55" aria-hidden="true" tabindex="-1"></a> number_ref[i,<span class="dv">2</span>] <span class="ot"><-</span> citations_query<span class="sc">$</span>content<span class="sc">$</span><span class="st">`</span><span class="at">abstracts-retrieval-response</span><span class="st">`</span><span class="sc">$</span>references<span class="sc">$</span><span class="st">`</span><span class="at">@total-references</span><span class="st">`</span></span>
<span id="cb8-56"><a href="#cb8-56" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-57"><a href="#cb8-57" aria-hidden="true" tabindex="-1"></a> citation_list[[citing_articles[i]]] <span class="ot"><-</span> citations</span>
<span id="cb8-58"><a href="#cb8-58" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-59"><a href="#cb8-59" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span> (nb_total_refs <span class="sc">></span> <span class="dv">40</span>) <span class="co">#we can only get 40 references at a time, so we need to loop if there are more than 40</span></span>
<span id="cb8-60"><a href="#cb8-60" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-61"><a href="#cb8-61" aria-hidden="true" tabindex="-1"></a> nb_query_left_to_do <span class="ot"><-</span> <span class="fu">ceiling</span>((nb_ref_article) <span class="sc">/</span> <span class="dv">40</span>) <span class="co">#the number of query we need to do</span></span>
<span id="cb8-62"><a href="#cb8-62" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="st">"Number of requests left to do :"</span>, nb_query_left_to_do, <span class="st">"</span><span class="sc">\n</span><span class="st">"</span>)</span>
<span id="cb8-63"><a href="#cb8-63" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-64"><a href="#cb8-64" aria-hidden="true" tabindex="-1"></a> <span class="cf">for</span> (j <span class="cf">in</span> <span class="dv">1</span><span class="sc">:</span>nb_query_left_to_do)</span>
<span id="cb8-65"><a href="#cb8-65" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-66"><a href="#cb8-66" aria-hidden="true" tabindex="-1"></a> <span class="fu">cat</span>(<span class="st">"Request n°"</span>, j , <span class="st">"</span><span class="sc">\n</span><span class="st">"</span>)</span>
<span id="cb8-67"><a href="#cb8-67" aria-hidden="true" tabindex="-1"></a> citations_query <span class="ot"><-</span> <span class="fu">abstract_retrieval</span>(citing_articles[i],</span>
<span id="cb8-68"><a href="#cb8-68" aria-hidden="true" tabindex="-1"></a> <span class="at">identifier =</span> <span class="st">"scopus_id"</span>,</span>
<span id="cb8-69"><a href="#cb8-69" aria-hidden="true" tabindex="-1"></a> <span class="at">view =</span> <span class="st">"REF"</span>,</span>
<span id="cb8-70"><a href="#cb8-70" aria-hidden="true" tabindex="-1"></a> <span class="at">startref =</span> <span class="dv">40</span><span class="sc">*</span>j<span class="sc">+</span><span class="dv">1</span>,</span>
<span id="cb8-71"><a href="#cb8-71" aria-hidden="true" tabindex="-1"></a> <span class="at">headers =</span> hdr)</span>
<span id="cb8-72"><a href="#cb8-72" aria-hidden="true" tabindex="-1"></a> citations <span class="ot"><-</span> <span class="fu">gen_entries_to_df</span>(citations_query<span class="sc">$</span>content<span class="sc">$</span><span class="st">`</span><span class="at">abstracts-retrieval-response</span><span class="st">`</span><span class="sc">$</span>references<span class="sc">$</span>reference)</span>
<span id="cb8-73"><a href="#cb8-73" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-74"><a href="#cb8-74" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(<span class="fu">length</span>(citations<span class="sc">$</span>df) <span class="sc">></span> <span class="dv">0</span>) <span class="co">#if request is not null</span></span>
<span id="cb8-75"><a href="#cb8-75" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-76"><a href="#cb8-76" aria-hidden="true" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste0</span>(citing_articles[i], <span class="st">" ref is not empty."</span>))</span>
<span id="cb8-77"><a href="#cb8-77" aria-hidden="true" tabindex="-1"></a> citations <span class="ot"><-</span> citations<span class="sc">$</span>df <span class="sc">%>%</span> </span>
<span id="cb8-78"><a href="#cb8-78" aria-hidden="true" tabindex="-1"></a> <span class="fu">as_tibble</span>(<span class="at">.name_repair =</span> <span class="st">"unique"</span>)</span>
<span id="cb8-79"><a href="#cb8-79" aria-hidden="true" tabindex="-1"></a> <span class="co">#citation_list is a list of lists which contain every references for a specific scopus ID</span></span>
<span id="cb8-80"><a href="#cb8-80" aria-hidden="true" tabindex="-1"></a> <span class="co">#</span></span>
<span id="cb8-81"><a href="#cb8-81" aria-hidden="true" tabindex="-1"></a> citation_list[[citing_articles[i]]] <span class="ot"><-</span> <span class="fu">bind_rows</span>(citations,citation_list[[citing_articles[i]]])</span>
<span id="cb8-82"><a href="#cb8-82" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-83"><a href="#cb8-83" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-84"><a href="#cb8-84" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-85"><a href="#cb8-85" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-86"><a href="#cb8-86" aria-hidden="true" tabindex="-1"></a> <span class="cf">if</span>(<span class="fu">length</span>(subjects<span class="sc">$</span>df) <span class="sc">></span> <span class="dv">0</span>)</span>
<span id="cb8-87"><a href="#cb8-87" aria-hidden="true" tabindex="-1"></a> {</span>
<span id="cb8-88"><a href="#cb8-88" aria-hidden="true" tabindex="-1"></a> <span class="fu">message</span>(<span class="fu">paste0</span>(citing_articles[i], <span class="st">" subject is not empty."</span>))</span>
<span id="cb8-89"><a href="#cb8-89" aria-hidden="true" tabindex="-1"></a> subjects <span class="ot"><-</span> subjects<span class="sc">$</span>df <span class="sc">%>%</span> </span>
<span id="cb8-90"><a href="#cb8-90" aria-hidden="true" tabindex="-1"></a> <span class="fu">as_tibble</span>(<span class="at">.name_repair =</span> <span class="st">"unique"</span>)</span>
<span id="cb8-91"><a href="#cb8-91" aria-hidden="true" tabindex="-1"></a> </span>
<span id="cb8-92"><a href="#cb8-92" aria-hidden="true" tabindex="-1"></a> subjects_list[[citing_articles[i]]] <span class="ot"><-</span> <span class="fu">bind_rows</span>(subjects,subjects_list[[citing_articles[i]]])</span>
<span id="cb8-93"><a href="#cb8-93" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-94"><a href="#cb8-94" aria-hidden="true" tabindex="-1"></a> }</span>
<span id="cb8-95"><a href="#cb8-95" aria-hidden="true" tabindex="-1"></a>}</span></code><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></pre></div>
</details>
<div class="cell-output cell-output-stdout">
<pre><code>Article n°1
Total number of references : 119
Number of references left to retrieve : 79
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°2
Total number of references : 172
Number of references left to retrieve : 132
Number of requests left to do : 4
Request n° 1
Request n° 2
Request n° 3
Request n° 4
Article n°3
Total number of references : 136
Number of references left to retrieve : 96
Number of requests left to do : 3
Request n° 1
Request n° 2
Request n° 3
Article n°4
Total number of references : 76
Number of references left to retrieve : 36
Number of requests left to do : 1
Request n° 1
Article n°5
Total number of references : 66
Number of references left to retrieve : 26
Number of requests left to do : 1
Request n° 1
Article n°6
Total number of references : 61
Number of references left to retrieve : 21
Number of requests left to do : 1
Request n° 1
Article n°7
Total number of references : 73
Number of references left to retrieve : 33
Number of requests left to do : 1
Request n° 1
Article n°8
Total number of references : 83
Number of references left to retrieve : 43
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°9
Total number of references : 70
Number of references left to retrieve : 30
Number of requests left to do : 1
Request n° 1
Article n°10
Total number of references : 91
Number of references left to retrieve : 51
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°11
Total number of references : 48
Number of references left to retrieve : 8
Number of requests left to do : 1
Request n° 1
Article n°12
Total number of references : 72
Number of references left to retrieve : 32
Number of requests left to do : 1
Request n° 1
Article n°13
Total number of references : 71
Number of references left to retrieve : 31
Number of requests left to do : 1
Request n° 1
Article n°14
Total number of references : 69
Number of references left to retrieve : 29
Number of requests left to do : 1
Request n° 1
Article n°15
Total number of references : 48
Number of references left to retrieve : 8
Number of requests left to do : 1
Request n° 1
Article n°16
Total number of references : 59
Number of references left to retrieve : 19
Number of requests left to do : 1
Request n° 1
Article n°17
Total number of references : 34
All references are already retrieved.
Article n°18
Total number of references : 131
Number of references left to retrieve : 91
Number of requests left to do : 3
Request n° 1
Request n° 2
Request n° 3
Article n°19
Total number of references : 79
Number of references left to retrieve : 39
Number of requests left to do : 1
Request n° 1
Article n°20
Total number of references : 95
Number of references left to retrieve : 55
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°21
Total number of references : 48
Number of references left to retrieve : 8
Number of requests left to do : 1
Request n° 1
Article n°22
Total number of references : 96
Number of references left to retrieve : 56
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°23
Total number of references : 74
Number of references left to retrieve : 34
Number of requests left to do : 1
Request n° 1
Article n°24
Total number of references : 176
Number of references left to retrieve : 136
Number of requests left to do : 4
Request n° 1
Request n° 2
Request n° 3
Request n° 4
Article n°25
Article n°26
Article n°27
Article n°28
Article n°29
Total number of references : 42
Number of references left to retrieve : 2
Number of requests left to do : 1
Request n° 1
Article n°30
Article n°31
Total number of references : 87
Number of references left to retrieve : 47
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°32
Total number of references : 66
Number of references left to retrieve : 26
Number of requests left to do : 1
Request n° 1
Article n°33
Total number of references : 105
Number of references left to retrieve : 65
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°34
Total number of references : 47
Number of references left to retrieve : 7
Number of requests left to do : 1
Request n° 1
Article n°35
Total number of references : 135
Number of references left to retrieve : 95
Number of requests left to do : 3
Request n° 1
Request n° 2
Request n° 3
Article n°36
Total number of references : 71
Number of references left to retrieve : 31
Number of requests left to do : 1
Request n° 1
Article n°37
Total number of references : 56
Number of references left to retrieve : 16
Number of requests left to do : 1
Request n° 1
Article n°38
Total number of references : 12
All references are already retrieved.
Article n°39
Total number of references : 111
Number of references left to retrieve : 71
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°40
Total number of references : 79
Number of references left to retrieve : 39
Number of requests left to do : 1
Request n° 1
Article n°41
Total number of references : 51
Number of references left to retrieve : 11
Number of requests left to do : 1
Request n° 1
Article n°42
Article n°43
Total number of references : 79
Number of references left to retrieve : 39
Number of requests left to do : 1
Request n° 1
Article n°44
Total number of references : 44
Number of references left to retrieve : 4
Number of requests left to do : 1
Request n° 1
Article n°45
Total number of references : 76
Number of references left to retrieve : 36
Number of requests left to do : 1
Request n° 1
Article n°46
Total number of references : 105
Number of references left to retrieve : 65
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°47
Total number of references : 45
Number of references left to retrieve : 5
Number of requests left to do : 1
Request n° 1
Article n°48
Total number of references : 98
Number of references left to retrieve : 58
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°49
Total number of references : 89
Number of references left to retrieve : 49
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°50
Total number of references : 70
Number of references left to retrieve : 30
Number of requests left to do : 1
Request n° 1
Article n°51
Total number of references : 92
Number of references left to retrieve : 52
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°52
Total number of references : 114
Number of references left to retrieve : 74
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°53
Total number of references : 80
Number of references left to retrieve : 40
Number of requests left to do : 1
Request n° 1
Article n°54
Total number of references : 64
Number of references left to retrieve : 24
Number of requests left to do : 1
Request n° 1
Article n°55
Total number of references : 79
Number of references left to retrieve : 39
Number of requests left to do : 1
Request n° 1
Article n°56
Total number of references : 91
Number of references left to retrieve : 51
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°57
Total number of references : 56
Number of references left to retrieve : 16
Number of requests left to do : 1
Request n° 1
Article n°58
Total number of references : 81
Number of references left to retrieve : 41
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°59
Total number of references : 94
Number of references left to retrieve : 54
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°60
Total number of references : 107
Number of references left to retrieve : 67
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°61
Total number of references : 56
Number of references left to retrieve : 16
Number of requests left to do : 1
Request n° 1
Article n°62
Total number of references : 93
Number of references left to retrieve : 53
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°63
Total number of references : 88
Number of references left to retrieve : 48
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°64
Total number of references : 104
Number of references left to retrieve : 64
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°65
Total number of references : 55
Number of references left to retrieve : 15
Number of requests left to do : 1
Request n° 1
Article n°66
Total number of references : 77
Number of references left to retrieve : 37
Number of requests left to do : 1
Request n° 1
Article n°67
Total number of references : 108
Number of references left to retrieve : 68
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°68
Total number of references : 64
Number of references left to retrieve : 24
Number of requests left to do : 1
Request n° 1
Article n°69
Total number of references : 61
Number of references left to retrieve : 21
Number of requests left to do : 1
Request n° 1
Article n°70
Total number of references : 12
All references are already retrieved.
Article n°71
Article n°72
Total number of references : 290
Number of references left to retrieve : 250
Number of requests left to do : 7
Request n° 1
Request n° 2
Request n° 3
Request n° 4
Request n° 5
Request n° 6
Request n° 7
Article n°73
Total number of references : 189
Number of references left to retrieve : 149
Number of requests left to do : 4
Request n° 1
Request n° 2
Request n° 3
Request n° 4
Article n°74
Total number of references : 80
Number of references left to retrieve : 40
Number of requests left to do : 1
Request n° 1
Article n°75
Total number of references : 64
Number of references left to retrieve : 24
Number of requests left to do : 1
Request n° 1
Article n°76
Total number of references : 70
Number of references left to retrieve : 30
Number of requests left to do : 1
Request n° 1
Article n°77
Total number of references : 129
Number of references left to retrieve : 89
Number of requests left to do : 3
Request n° 1
Request n° 2
Request n° 3
Article n°78
Total number of references : 115
Number of references left to retrieve : 75
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°79
Total number of references : 51
Number of references left to retrieve : 11
Number of requests left to do : 1
Request n° 1
Article n°80
Total number of references : 107
Number of references left to retrieve : 67
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°81
Total number of references : 82
Number of references left to retrieve : 42
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°82
Total number of references : 84
Number of references left to retrieve : 44
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°83
Total number of references : 84
Number of references left to retrieve : 44
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°84
Total number of references : 119
Number of references left to retrieve : 79
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°85
Total number of references : 65
Number of references left to retrieve : 25
Number of requests left to do : 1
Request n° 1
Article n°86
Total number of references : 40
All references are already retrieved.
Article n°87
Total number of references : 30
All references are already retrieved.
Article n°88
Total number of references : 49
Number of references left to retrieve : 9
Number of requests left to do : 1
Request n° 1
Article n°89
Total number of references : 96
Number of references left to retrieve : 56
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°90
Total number of references : 90
Number of references left to retrieve : 50
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°91
Total number of references : 86
Number of references left to retrieve : 46
Number of requests left to do : 2
Request n° 1
Request n° 2
Article n°92
Total number of references : 49
Number of references left to retrieve : 9
Number of requests left to do : 1
Request n° 1
Article n°93
Total number of references : 213
Number of references left to retrieve : 173
Number of requests left to do : 5
Request n° 1