Characterizing COVID-19 clinical phenotypes and associated comorbidities and complication profiles is a dataset published in PLoS ONE (2021). On theSindex it has a DataRank of 1.4, placing it in the top 14.5% of the data-sharing corpus. It has been cited 68 times, with 4 citing works in its 1-hop citation network.
Ranks in the top 14% 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
0.635
From this paper's citation signal
Citation Network Contribution
0.792
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
National Heart, Lung, and Blood Institute
Grant: T32HL07741
Agency for Healthcare Research and Quality
Grant: K12HS026379
National Heart, Lung, and Blood Institute
Grant: T32HL129956
National Center for Advancing Translational Sciences
Grant: UL1TR002494
NHLBI NIH HHS
Grant: T32 HL007741
AHRQ HHS
Grant: R01 HS026732
FWCI
3.64
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals