COVID‐19 and dementia: Analyses of risk, disparity, and outcomes from electronic health records in the US is a dataset published in Alzheimer s & Dementia (2021). On theSindex it has a DataRank of 6.7, placing it in the top 2.8% of the data-sharing corpus. It has been cited 274 times, with 100 citing works in its 1-hop citation network.
Ranks in the top 3% 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
0.843
From this paper's citation signal
Citation Network Contribution
5.9
From 100 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 100 citers.
National Institute on Aging
Grant: AG057557
National Institute on Aging
Grant: AG061388
National Institute on Aging
Grant: AG062272
NCATS NIH HHS
Grant: UL1 TR002548
NIA NIH HHS
Grant: R01 AG057557
NCATS NIH HHS
Grant: UL1 TR000439
NIA NIH HHS
Grant: R01 AG061388
NCI NIH HHS
Grant: T32 CA094186
NICHD NIH HHS
Grant: DP2 HD084068
NIA NIH HHS
Grant: R56 AG062272
NIAAA NIH HHS
Grant: R01 AA029831
NEI NIH HHS
Grant: R01 EY029297
NIA NIH HHS
Grant: RF1 AG076649
Clinical and Translational Science Collaborative (CTSC) of Cleveland
Grant: UL1TR002548-01
NCATS NIH HHS
Grant: TL1 TR000441
National Center for Advancing Translational Sciences
FWCI
26.14
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals