Facilitating family communication of familial hypercholesterolemia genetic risk: Assessing engagement with innovative chatbot technology from the IMPACT-FH study is a dataset published in PEC Innovation (2023). On theSindex it has a DataRank of 0.679, placing it in the top 29.4% of the data-sharing corpus. It has been cited 17 times, with 17 citing works in its 1-hop citation network.
Ranks in the top 29% 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
0.434
From this paper's citation signal
Citation Network Contribution
0.246
From 13 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 17 citers.
National Heart, Lung, and Blood Institute
Grant: R01HL148246
National Institutes of Health
Grant: 5R01HL148246-04
Identification Methods, Patient Activation, and Cascade Testing for FH: IMPACT-FH
National Institutes of Health
FWCI
6.34
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords