Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population is a dataset published in Ophthalmology Science (2025). On theSindex it has a DataRank of 0.388, placing it in the top 46.8% of the data-sharing corpus. It has been cited 10 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 47% 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
0.360
From this paper's citation signal
Citation Network Contribution
0.0287
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 3 citers.
National Institutes of Health
Grant: 1K23EY032985-01
Investigating the Development, Persistence, and Progression of Uveitis and Ocular Inflammation in the United States
National Institutes of Health
Grant: 1P30EY029220-01
Center Core Grant for Vision Research
National Institutes of Health
Grant: 1R01EY035677-01
Clinical Evaluation and Risk Stratification of Angle Closure Disease Using Quantitative OCT
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