Classification of 12-lead ECGs: the PhysioNet/Computing in Cardiology Challenge 2020 is a dataset published in Computing in cardiology (2020). On theSindex it has a DataRank of 4.8, placing it in the top 4.4% of the data-sharing corpus. It has been cited 66 times, with 63 citing works in its 1-hop citation network.
Ranks in the top 4% 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
0.631
From this paper's citation signal
Citation Network Contribution
4.2
From 54 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 63 citers.
National Institutes of Health
Grant: 2R01GM104987-09
Research Resource for Complex Physiologic Signals
National Institutes of Health
Grant: 5UL1TR002378-09
Georgia Clinical & Translational Science Alliance (Georgia CTSA)
Fields of Study
Sustainable Development Goals