Cross-instrument optical coherence tomography-angiography (OCTA)-based prediction of age-related macular degeneration (AMD) disease activity using artificial intelligence is a research paper published in Scientific Reports (2024). On theSindex it has a DataRank of 0.360. It has been cited 10 times.
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?
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Base Score Contribution
0.360
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: OT2OD032644
NIH
Grant: DP5OD029610
NIH
Grant: R01EY016323
NIH
Grant: 5R01EY033847
NLM NIH HHS
Grant: T15 LM011271
NEI NIH HHS
Grant: P30 EY022589
NEI NIH HHS
Grant: R01 EY033847
National Institutes of Health
Grant: 5R01EY033847-02
SCH: Multimodal Retina Image Alignment and Applications
National Institutes of Health
Grant: 3OT2OD032644-01S2
Bridge2AI: Salutogenesis Data Generation Project
National Institutes of Health
Grant: 5DP5OD029610-03
Multi-modal Health Information Technology Innovations for Precision Management of Glaucoma
National Institutes of Health
Grant: 5R01EY016323-10
Mechanistic-Based Non-Invasive Assessment of Retinal Damage in HAART Era
National Institutes of Health
Grant: 1P30EY022589-01
Computational Ophthalmology
FWCI
2.81
Citation Percentile
0.9%
Citation Trend
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