Characterizing COVID-19 Clinical Phenotypes and Associated Comorbidities and Complication Profiles is a dataset published in medRxiv (2020). On theSindex it has a DataRank of 0.523, placing it in the top 37% of the data-sharing corpus. It has been cited 6 times, with 5 citing works in its 1-hop citation network.
Ranks in the top 37% 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
0.292
From this paper's citation signal
Citation Network Contribution
0.231
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 5 citers.
National Institutes of Health
Grant: 1K12HS026379-01
Minnesota Learning Health System Mentored Career Development Program (MN-LHS)
National Institutes of Health
Grant: 5T32HL007741-27
Training in Lung Science
National Institutes of Health
Grant: 3UL1TR002494-02S1
University of Minnesota Clinical and TranslationalmScience Institute (UMN CTSI)
National Institutes of Health
Grant: 5T32HL129956-03
Training in Biostatistics for Heart, Lung and Blood Disease Research
Fields of Study
Keywords
Sustainable Development Goals