[PRE REVIEW]: AutoEIS: An automated tool for analysis of electrochemical impedance spectroscopy using evolutionary algorithms and Bayesian inference

[editorialbot]

Submitting author: @ma-sadeghi (Mohammad Amin Sadeghi)
Repository: https://github.com/AUTODIAL/AutoEIS/
Branch with paper.md (empty if default branch): joss
Version: v0.0.18
Editor: @lucydot
Reviewers: @dap-biospec, @DevT-0
Managing EiC: Kevin M. Moerman

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Software report:

github.com/AlDanial/cloc v 1.88  T=0.07 s (320.9 files/s, 117200.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Python                          12            515            734           1694
Jupyter Notebook                 2              0           3456           1645
Bourne Shell                     2             20             12            151
Markdown                         2             49              0            124
TeX                              1              0              0            118
YAML                             3              8             11            102
TOML                             1              4              0             55
Dockerfile                       1             14              8             46
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SUM:                            24            610           4221           3935
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gitinspector failed to run statistical information for the repository

[editorialbot]

Wordcount for paper.md is 989

[editorialbot]

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

OK DOIs

- 10.21105/joss.02349 is OK
- 10.5281/zenodo.2535951 is OK
- 10.1016/j.electacta.2020.136864 is OK
- 10.1149/1.2044210 is OK
- 10.1149/1945-7111/aceab2 is OK

MISSING DOIs

- 10.1109/tim.2021.3113116 may be a valid DOI for title: Practical equivalent electrical circuit identification for electrochemical impedance spectroscopy analysis with gene expression programming

INVALID DOIs

- None

[editorialbot]

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

[editorialbot]

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⚠️ Note to editors: If these papers look like they might be a good match, click through to the review issue for that paper and invite one or more of the authors before considering asking the reviewers of these papers to review again for JOSS.

[Kevin-Mattheus-Moerman]

@editorialbot invite @lucydot as editor

[editorialbot]

Invitation to edit this submission sent!

[lucydot]

@editorialbot assign me as editor

[editorialbot]

Assigned! @lucydot is now the editor

[ma-sadeghi]

The missing DOI is now fixed. Also, just merged a massive refactor of the package (AUTODIAL/AutoEIS/pull/58), plus a new release (v0.0.18) issued to PyPI.

Update: Another major PR on improving the documentation was just merged (AUTODIAL/AutoEIS#62).

[lucydot]

Hello @ma-sadeghi, a quick comment to say I am on leave for the next two weeks. I'll be straight on this once I am back at work in the new year - one reviewer is already secured and I will add them once I receive their github username.

Best,

Lucy

[ma-sadeghi]

@lucydot Thanks for the update, looking forward to it. Happy new year!

[lucydot]

@editorialbot set v0.0.18 as version

[editorialbot]

Done! version is now v0.0.18

[lucydot]

@mdmurbach, @dap-biospec - are you available to review this submission to JOSS?

[lucydot]

@DevT-0 - can you review this submission?

[DevT-0]

Thanks for the invite, Lucy. Yes, I will be happy to review this submission.

[dap-biospec]

I can review this submission. Thank you for the invitation!

[lucydot]

Excellent!

[lucydot]

@editorialbot add @dap-biospec as reviewer

[editorialbot]

@dap-biospec added to the reviewers list!

[lucydot]

@editorialbot add @DevT-0 as reviewer

[editorialbot]

@DevT-0 added to the reviewers list!

[lucydot]

@DevT-0 @dap-biospec thank-you for agreeing to review this submission.

I'm going to ask editorial bot to start the review - you will receive a github notification from the new review issue thread. At the top of that thread are reviewer instructions: if you have any other questions, it is best to ask me over in the new thread.

[lucydot]

@editorialbot start review

[editorialbot]

OK, I've started the review over in #6256.