pandots
PanDots: Pandemic Document Types. Analysis of scientific literature genres during the Covid-19 pandemic
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 6 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.3%) to scientific vocabulary
Keywords
Repository
PanDots: Pandemic Document Types. Analysis of scientific literature genres during the Covid-19 pandemic
Basic Info
- Host: GitHub
- Owner: TheMetrifiedMe
- Language: R
- Default Branch: main
- Homepage: https://themetrifiedme.github.io/pandots/
- Size: 208 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 1
Topics
Metadata Files
README.md
Analysis of the biomedical Covid-19 Literature
Authors: Alexander Schniedermann (DZHW Berlin), Arno Simons (TU Berlin)
This repo contains a data dashboard/virtual scientific publication. The research is a bibliometric analysis of <5 million biomedical research publications that were published during the Covid-19 pandemic. The dashboard is realised as shinylive application that is hosted on github (~20 seconds loading time): https://themetrifiedme.github.io/pandots/
Schniedermann, A., Simons, A. (2025). Analysis of Pandemic Document Types (PanDots). Zenodo. https://doi.org/10.5281/zenodo.14626038.
Version history
1.5.3 (January 2025)
- added "Conclusions" page
- edited all texts and labels
- cleaned up the code
1.5.2 (December 2024)
- This version features some additional calculations for Gini, HHI, skewness and kurtosis: ac24version5.sql
- Some texts have been updated
- some analytical dimensions from the previous versions have been removed
- This version is now independent from the code repo on gitlab which is, however, kept for the sake of version history. The repo with the previous versions can be found here: https://gitlab.com/aschniedermann/pandots
Todo's and troubleshooting
- Add/remove features to the shinylive dashboard:
- [x] Change background color of pandemic vs. non-pandemic evidence base.
- [x] Add Conclusion Page
- [ ] Consider Empirical CDF's as an alternative to (Hogg's) Kurtosis and Skewness. Empirical CDF's are not based on hypothetical distributions, but rather analyze the real distribution of the data.
Owner
- Login: TheMetrifiedMe
- Kind: user
- Repositories: 1
- Profile: https://github.com/TheMetrifiedMe
GitHub Events
Total
- Release event: 1
- Watch event: 1
- Delete event: 1
- Push event: 8
- Pull request event: 7
- Create event: 1
Last Year
- Release event: 1
- Watch event: 1
- Delete event: 1
- Push event: 8
- Pull request event: 7
- Create event: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 0
- Total pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Total issue authors: 0
- Total pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 0
- Pull requests: 2
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 0
- Pull request authors: 1
- Average comments per issue: 0
- Average comments per pull request: 0.0
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- TheMetrifiedMe (16)