Developing a Continuous Severity Scale for Macular Telangiectasia Type 2 Using Deep Learning and Implications for Disease Grading is a research paper published in Ophthalmology (2023). On theSindex it has a DataRank of 0.396. It has been cited 13 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?
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
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 →NIA NIH HHS
Grant: R01 AG060942
NEI NIH HHS
Grant: K23 EY029246
NIA NIH HHS
Grant: U19 AG066567
NIH HHS
Grant: OT2 OD032644
Consejo Nacional de Ciencia y Tecnología
Grant: 2018-000009-01EXTF-00573
National Institutes of Health
Grant: 1U19AG066567-01A1
Adult Changes in Thought (ACT) Research Program
National Institutes of Health
Grant: 5R01AG060942-04
Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) study
National Institutes of Health
Grant: 1K23EY029246-01
Epidemiology and clinical outcomes of diabetic macular edema
National Institutes of Health
Research to Prevent Blindness
Lowy Medical Research Institute
Fields of Study
MeSH Terms
Keywords