Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension is a research paper published in npj Digital Medicine (2024). On theSindex it has a DataRank of 0.473. It has been cited 8 times, with 8 citing works in its 1-hop citation network.
Scored on demand from live citation data
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
0.330
From this paper's citation signal
Citation Network Contribution
0.143
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 8 citers.
U.S. Department of Health & Human Services | NIH | National Center for Advancing Translational Sciences
Grant: UL1TR004419
U.S. Department of Health & Human Services | National Institutes of Health
Grant: S10OD026880
U.S. Department of Health & Human Services | National Institutes of Health
Grant: S10OD030463
National Institutes of Health
Grant: 5UL1TR004419-03
Conduits: Mount Sinai Health System Translational Science Hub
National Institutes of Health
Grant: 1S10OD030463-01
COVID and Translational Science supercomputer (CATS)
National Institutes of Health
Grant: 1S10OD026880-01
Big Omics Data Engine 2 Supercomputer
FWCI
2.12
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords