Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology is a research paper published in Ophthalmology Science (2023). On theSindex it has a DataRank of 4.1. It has been cited 113 times, with 97 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
0.710
From this paper's citation signal
Citation Network Contribution
3.4
From 63 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 97 citers.
National Medical Research Council
Grant: MOH-000655-00
National Medical Research Council
Grant: MOH-001014-00
National Medical Research Council
Grant: NMRC/HSRG/0087/2018
Moorfields Eye Charity
Grant: R190028A
Medical Research Council
Grant: MR/T019050/1
NEI NIH HHS
Grant: R01 EY031331
NEI NIH HHS
Grant: R01 EY019474
National Institute for Health Research (NIHR)
Grant: NIHR205109
NEI NIH HHS
Grant: P30 EY010572
National Institutes of Health
Research to Prevent Blindness
Genentech
Glaucoma Foundation
National Eye Institute
FWCI
3.27
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals