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[PRE REVIEW]: A course on the setup, running, and analysis of biomolecular simulations #262

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editorialbot opened this issue Oct 10, 2024 · 21 comments
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editorialbot commented Oct 10, 2024

Submitting author: @degiacom (Matteo Degiacomi)
Repository: https://github.com/CCPBioSim/BioSim-analysis-workshop
Branch with paper.md (empty if default branch):
Version: v1.0
Editor: @arm61
Reviewers: @raquellrios, @djcole56
Managing EiC: Lorena Barba

Status

status

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HTML: <a href="https://jose.theoj.org/papers/085047c344a15394568f262b57eb920f"><img src="https://jose.theoj.org/papers/085047c344a15394568f262b57eb920f/status.svg"></a>
Markdown: [![status](https://jose.theoj.org/papers/085047c344a15394568f262b57eb920f/status.svg)](https://jose.theoj.org/papers/085047c344a15394568f262b57eb920f)

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Thanks for submitting your paper to JOSE @degiacom. Currently, there isn't a JOSE editor assigned to your paper.

@degiacom if you have any suggestions for potential reviewers then please mention them here in this thread (without tagging them with an @). You can search the list of people that have already agreed to review and may be suitable for this submission.

Editor instructions

The JOSE submission bot @editorialbot is here to help you find and assign reviewers and start the main review. To find out what @editorialbot can do for you type:

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Hello human, I'm @editorialbot, a robot that can help you with some common editorial tasks.

For a list of things I can do to help you, just type:

@editorialbot commands

For example, to regenerate the paper pdf after making changes in the paper's md or bib files, type:

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Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.5281/zenodo.13155316 is OK
- 10.1038/s41586-021-03819-2 is OK
- 10.25080/Majora-629e541a-00e is OK
- 10.1038/253694a0 is OK
- 10.1126/science.1208351 is OK
- 10.1021/acs.jchemed.1c00022 is OK
- 10.1140/epjb/s10051-021-00249-x is OK
- 10.1016/j.neuron.2018.08.011 is OK
- 10.1016/j.bpj.2022.11.2277 is OK
- 10.1002/jcc.21787 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: Scikit-Learn: Machine Learning in Python

❌ MISSING DOIs

- None

❌ INVALID DOIs

- None

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Software report:

github.com/AlDanial/cloc v 1.90  T=0.36 s (61.6 files/s, 26673.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Jupyter Notebook                 9              0           7142           1112
Python                           1            103            263            223
Markdown                         5             88              0            195
TeX                              1             10              0            161
YAML                             3              1             10             56
Bourne Shell                     1             14             63             35
CSV                              1              0              0             26
XML                              1              0              0             18
-------------------------------------------------------------------------------
SUM:                            22            216           7478           1826
-------------------------------------------------------------------------------

Commit count by author:

    24	Matteo Degiacomi
    17	DEGIACOMI
    10	ppxasjsm
     3	Toni Mey
     1	Micaela Matta

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Paper file info:

📄 Wordcount for paper.md is 1437

✅ The paper includes a Statement of need section

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License info:

🟡 License found: Other (Check here for OSI approval)

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👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

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arm61 commented Oct 11, 2024

@labarba, I can take this one.

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arm61 commented Oct 11, 2024

@editorialbot assign @arm61 as editor

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Assigned! @arm61 is now the editor

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arm61 commented Oct 11, 2024

@degiacom do you have any suggested referrees?

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Hi @arm61, thanks for editing this!
Here are a few suggested reviewers:
jjuarez84 -- https://www.ub.edu/cmd_lab/team/
raquellrios
djcole56 -- https://www.ncl.ac.uk/nes/people/profile/danielcole.html
CharlieLaughton - https://www.nottingham.ac.uk/pharmacy/people/charles.laughton

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arm61 commented Oct 11, 2024

Thanks, are there any from the list of willing JOSE reviewers?

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arm61 commented Oct 15, 2024

@editorialbot assign @raquellrios as reviewer

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I'm sorry human, I don't understand that. You can see what commands I support by typing:

@editorialbot commands

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arm61 commented Oct 15, 2024

@editorialbot add @raquellrios as reviewer

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@raquellrios added to the reviewers list!

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arm61 commented Oct 16, 2024

@editorialbot add @djcole56 as reviewer

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@djcole56 added to the reviewers list!

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arm61 commented Oct 16, 2024

Thanks @djcole56 and @raquellrios for joining as reviewers. Let's get going!

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arm61 commented Oct 16, 2024

@editorialbot start review

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OK, I've started the review over in #265.

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