Development and external validation of deep learning clinical prediction models using variable-length time series data is a dataset published in Journal of the American Medical Informatics Association (2024). On theSindex it has a DataRank of 0.494, placing it in the top 38.8% of the data-sharing corpus. It has been cited 13 times, with 12 citing works in its 1-hop citation network.
Ranks in the top 39% 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
0.396
From this paper's citation signal
Citation Network Contribution
0.0986
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 12 citers.
National Institute of General Medical Sciences
Grant: R35-13362546
National Heart, Lung, and Blood Institute
Grant: R01HL157262
National Institute of Diabetes, Digestive and Kidney Diseases
Grant: R01-DK126933A
NIGMS NIH HHS
Grant: R35 GM145330
NIDDK NIH HHS
Grant: R01 DK126933
NHLBI NIH HHS
Grant: K01 HL148390
National Institutes of Health
NIH HHS
NIH HHS
FWCI
3.13
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals