Paralysis by analysis: Overcoming cardiac contraction with computer vision is a dataset published in Proceedings of the National Academy of Sciences (2023). On theSindex it has a DataRank of 0.139, placing it in the top 70.5% of the data-sharing corpus. It has been cited 1 time, with 1 citing works in its 1-hop citation network.
Ranks in the top 71% 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
0.104
From this paper's citation signal
Citation Network Contribution
0.0352
From 1 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 1 citer.
HHS | NIH | National Heart, Lung, and Blood Institute
Grant: R01 HL111600
HHS | NIH | NIH Office of the Director
Grant: DP2 HL168071
National Institutes of Health
Grant: 4R01HL111600-05
The Role of Adrenergic Stimulation in Arrhythmogenesis
National Institutes of Health
Grant: 4DP2HL168071-02
AI-assisted Imaging and Prediction of Cardiac Arrhythmia Origins using 4D Ultrasound
NHLBI NIH HHS
Grant: P01 HL141084
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