Survey and Evaluation of Hypertension Machine Learning Research is a research paper published in Journal of the American Heart Association (2023). On theSindex it has a DataRank of 1.0. It has been cited 21 times, with 18 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.464
From this paper's citation signal
Citation Network Contribution
0.565
From 14 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 18 citers.
British Heart Foundation
Grant: FS/MBPHD/22/28005
British Heart Foundation
Grant: RE/18/6/34217
National Institutes of Health
Grant: 5R01HL143082-02
Genetic, Epigenetic and Dietary Salt effects on Microbiota and Hypertension
FWCI
3.70
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals