An implementation framework to improve the transparency and reproducibility of computational models of infectious diseases is a research paper published in PLoS Computational Biology (2023). On theSindex it has a DataRank of 0.449. It has been cited 19 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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Base Score Contribution
0.449
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →National Institute of General Medical Sciences
Grant: U24GM132013
National Institutes of Health
Grant: 3U24GM132013-02S1
Accelerating COVID-19 modeling research by improving the discovery and new use of data: leveraging community engagement and automation of curation workflows
FWCI
8.24
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals