Deep Learning for Hierarchical Severity Staging of Anterior Cruciate Ligament Injuries from MRI is a dataset published in Radiology Artificial Intelligence (2020). On theSindex it has a DataRank of 0.646, placing it in the top 30.8% of the data-sharing corpus. It has been cited 73 times.
Ranks in the top 31% 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
0.646
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 →National Institute of Arthritis and Musculoskeletal and Skin Diseases
Grant: K99AR070902
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Grant: R61AR073552
NIAMS NIH HHS
Grant: P50 AR060752
National Institutes of Health
GE Healthcare