[PRE REVIEW]: bursty_dynamics: A Python package for exploring the temporal properties of longitudinal data

[editorialbot]

Submitting author: @AlishaAng (Alisha Angdembe)
Repository: https://github.com/ai-multiply/bursty_dynamics.git
Branch with paper.md (empty if default branch): paper
Version: 0.1.0
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon

Status

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[editorialbot]

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

OK DOIs

- 10.1016/s0149-7634(01)00062-8 is OK
- 10.1209/0295-5075/81/48002 is OK
- 10.1103/physreve.94.032311 is OK

MISSING DOIs

- None

INVALID DOIs

- None

[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.06 s (1290.4 files/s, 216114.6 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
HTML                            24            537             72           3854
SVG                              1              0              0           2671
JavaScript                      13            150            261            967
CSS                              6            192             45            788
Python                           7            202            370            395
reStructuredText                23            329            514            177
Markdown                         2             58              0            124
YAML                             2             19              6             96
Jupyter Notebook                 1              0           1751             59
TeX                              1              5              0             36
DOS Batch                        1              8              1             26
make                             1              4              7              9
-------------------------------------------------------------------------------
SUM:                            82           1504           3027           9202
-------------------------------------------------------------------------------

Commit count by author:

    61	Alisha Angdembe
     1	AlishaAng

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1659

✅ The paper includes a Statement of need section

[editorialbot]

License info:

✅ License found: MIT License (Valid open source OSI approved license)

[editorialbot]

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

[editorialbot]

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[crvernon]

@editorialbot reject

👋 @AlishaAng - Thank you for your submission to JOSS. At this time we have to reject this submission due to not meeting the substantial scholarly effort requirements due to:

• Lines of code count
• Short commit history

We wish you the best in continuing your work and look forward to seeing more from you in the future.

Thank you.

[editorialbot]

Paper rejected.

[AlishaAng]

Hello @crvernon,

Thank you for the feedback. I have some questions regarding the requirements that I did not meet according to the report.
The software report indicates that my Python code exceeds 300 lines, and my commit history goes back 4 months. I thought this was acceptable, but it seems I may have misunderstood the requirements.

Could you please clarify this for me?

Thank you,
Alisha

[crvernon]

👋 @AlishaAng - the statement in our documentation for substantial scholarly effort is:

Total lines of code (LOC). Submissions under 1000 LOC will usually be flagged, those under 300 LOC will be desk rejected.

In almost all cases, we require a codebase of at least 1000 lines of code and often those around 1000 will get reviewed for scope as well. Sorry for the confusion with this and thank you for the follow-up question.