Leveraging Electronic Health Records to Construct a Phenotype for Hypertension Surveillance in the United States is a dataset published in American Journal of Hypertension (2023). On theSindex it has a DataRank of 0.476, placing it in the top 40.1% of the data-sharing corpus. It has been cited 16 times, with 6 citing works in its 1-hop citation network.
Ranks in the top 40% for downstream scientific impact
Linked data & code
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
0.425
From this paper's citation signal
Citation Network Contribution
0.0505
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 6 citers.
Intramural CDC HHS
Grant: CC999999
FWCI
5.37
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals