ShapeMed-Knee: A Dataset and Neural Shape Model Benchmark for Modeling 3D Femurs is a dataset published in medRxiv (2024). On theSindex it has a DataRank of 0.241, placing it in the top 61.3% of the data-sharing corpus. It has been cited 4 times, with 3 citing works in its 1-hop citation network.
Ranks in the top 61% for downstream scientific impact
Linked data & code
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
From 0 citing papers with measurable signal
This paper's DataRank is currently driven only by its base citation score. None of the citing papers had measurable citation signal.
Learn more about DataRank methodology →National Institutes of Health
Grant: 3R01AR079431-02S1
Imaging of Joint Response to Physiological Stress with Age, Sex and in Osteoarthritis
National Institutes of Health
Grant: 5R01AR077604-05
Rapid Low-Cost Quantitative 3D MRI and Gait Assessment of the Knee
National Institutes of Health
Grant: 1P41EB027060-01A1
Mobilize Center: Models for Mobile Sensing and Precision Rehabilitation
National Institutes of Health
Grant: 5R01EB002524-08
MRI for Early Detection of Osteoarthritis
Keywords
SurfMark3D: Distal Femur Landmark Dataset
SurfMark3D: Distal Femur Landmark Dataset