Glaucoma Diagnosis Through the Integration of Optical Coherence Tomography/Angiography and Machine Learning Diagnostic Models is a dataset published in Clinical ophthalmology (2022). On theSindex it has a DataRank of 0.668, placing it in the top 29.9% of the data-sharing corpus. It has been cited 13 times, with 11 citing works in its 1-hop citation network.
Ranks in the top 30% 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
0.272
From 10 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 11 citers.
NEI NIH HHS
Grant: P30 EY030413
National Institutes of Health
Grant: 1UL1RR024982-01
NORTH AND CENTRAL TEXAS CLINICAL AND TRANSLATIONAL SCIENCE INITIATIVE (UL1)
National Institutes of Health
Grant: 1U01CA207091-01A1
Quantitative Non-Contrast Perfusion using Arterial Spin Labeling for Assessment of Cancer Therapy Response
National Institutes of Health
Grant: 1RF1AG059288-01A1
Blood Biomarker for Alzheimer's Disease: Phospholipids
National Institutes of Health
Grant: 5P30EY030413-04
Core Grant for Vision Research
National Institutes of Health
Grant: 4UL1TR001105-04
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)
FWCI
1.43
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals