Comparison of evaluation metrics of deep learning for imbalanced imaging data in osteoarthritis studies is a dataset published in Osteoarthritis and Cartilage (2023). On theSindex it has a DataRank of 0.983, placing it in the top 20.6% of the data-sharing corpus. It has been cited 37 times, with 32 citing works in its 1-hop citation network.
Ranks in the top 21% 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
0.546
From this paper's citation signal
Citation Network Contribution
0.437
From 18 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 32 citers.
NHLBI NIH HHS
Grant: N01 AR022258
NIAMS NIH HHS
Grant: R01 AR066601
NIAMS NIH HHS
Grant: R01 AR078187
NIAMS NIH HHS
Grant: R01 AR065473
NIAMS NIH HHS
Grant: N01 AR022260
NIA NIH HHS
Grant: P30 AG028747
National Institutes of Health
Grant: N01AR022258-003
DATA COORDINATING CENTER FOR THE OSTEOARTHRITIS INITIATIVE-264022258
National Institutes of Health
Grant: 1R01AR078187-01
Healthy knee aging vs. osteoarthritis in three large diverse cohorts: What is the clinical relevance of structural changes seen on radiographs?
National Institutes of Health
Grant: 5R01AR066601-05
Risk of Incident Knee OA & Clinical Outcomes Based on Imaging Biomarkers
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