A network meta‐analysis of association between cardiometabolic risk factors and COVID‐19 outcome severity is a dataset published in Journal of Diabetes (2023). On theSindex it has a DataRank of 0.511, placing it in the top 37.8% of the data-sharing corpus. It has been cited 8 times, with 7 citing works in its 1-hop citation network.
Ranks in the top 38% 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
0.330
From this paper's citation signal
Citation Network Contribution
0.181
From 5 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 7 citers.
National Institutes of Health
Grant: R01DK125403
National Institutes of Health
Grant: R01ES029082
National Institutes of Health
Grant: R01ES031391
National Natural Science Foundation of China
Grant: 81302417
National Natural Science Foundation of China
Grant: 81673156
National Natural Science Foundation of China
Grant: 82073528
FWCI
1.18
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals