Unraveling COVID-19: A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS is a dataset published in Clinical Epidemiology (2022). On theSindex it has a DataRank of 0.935, placing it in the top 21.6% of the data-sharing corpus. It has been cited 26 times, with 8 citing works in its 1-hop citation network.
Ranks in the top 22% for downstream scientific impact
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.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.494
From this paper's citation signal
Citation Network Contribution
0.440
From 7 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 8 citers.
Wellcome Trust
Grant: 214588/Z/18/Z
NCATS NIH HHS
Grant: UL1 TR002369
NLM NIH HHS
Grant: R01 LM006910
European Commission
Grant: 806968
European Health Data and Evidence Network
Keywords