The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories is a dataset published in Journal of the American Medical Informatics Association (2023). On theSindex it has a DataRank of 0.296, placing it in the top 55.4% of the data-sharing corpus. It has been cited 4 times, with 4 citing works in its 1-hop citation network.
Ranks in the top 55% 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
0.241
From this paper's citation signal
Citation Network Contribution
0.0542
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 4 citers.
NIH
Grant: R01-HG009129
NHGRI NIH HHS
Grant: R01 HG009129
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