MAEPI and CIR: New Metrics for Robust Evaluation of the Prediction Performance of AI-Based IOL Formulas is a dataset published in Translational Vision Science & Technology (2023). On theSindex it has a DataRank of 0.286, placing it in the top 56.4% of the data-sharing corpus. It has been cited 4 times, with 2 citing works in its 1-hop citation network.
Ranks in the top 56% 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
0.241
From this paper's citation signal
Citation Network Contribution
0.0447
From 2 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 2 citers.
NEI NIH HHS
Grant: K12 EY022299
NEI NIH HHS
Grant: R01 EY026641
National Institutes of Health
Grant: 5K12EY022299-02
Michigan Vision Clinician Scientist Development Program
National Institutes of Health
Grant: 1R01EY026641-01A1
Personalized Forecasting of Disease Trajectory for Patients with Open Angle Glaucoma
FWCI
0.68
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals