Diagnosing Glaucoma Based on the Ocular Hypertension Treatment Study Dataset Using Chat Generative Pre-Trained Transformer as a Large Language Model is a dataset published in Ophthalmology Science (2024). On theSindex it has a DataRank of 0.406, placing it in the top 45.3% of the data-sharing corpus. It has been cited 14 times.
Ranks in the top 45% 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
0.406
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →NIH
Grant: R01EY033005
National Institutes of Health
Grant: 5R01EY033005-04
Predicting the risk of glaucoma from structural, functional, and genetic factors using artificial intelligence
FWCI
1.19
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords