The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images is a dataset published in Osteoarthritis and Cartilage (2022). On theSindex it has a DataRank of 2.3, placing it in the top 9.4% of the data-sharing corpus. It has been cited 60 times, with 52 citing works in its 1-hop citation network.
Ranks in the top 9% 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
0.617
From this paper's citation signal
Citation Network Contribution
1.7
From 36 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 52 citers.
NIAMS NIH HHS
Grant: R01 AR063643
NIBIB NIH HHS
Grant: P41 EB017183
NIAMS NIH HHS
Grant: R01 AR077604
NIAMS NIH HHS
Grant: K24 AR062068
NIAMS NIH HHS
Grant: R01 AR074453
NIBIB NIH HHS
Grant: R01 EB002524
NIBIB NIH HHS
Grant: P41 EB015891
NIAMS NIH HHS
Grant: K25 AR078928
NIBIB NIH HHS
Grant: R01 EB026136
FWCI
8.48
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals