Predicting severity of cartilage damage in a post-traumatic porcine model: Synovial fluid and gait in a support vector machine is a research paper published in PLoS ONE (2022). On theSindex it has a DataRank of 0. It has been cited 7 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Grant: R01-AR056834
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Grant: R01-AR065462
National Institute of General Medical Sciences
Grant: P30-GM122732
NIGMS NIH HHS
Grant: P30 GM122732
NIAMS NIH HHS
Grant: R01 AR065462
NIAMS NIH HHS
Grant: R01 AR056834
FWCI
0.92
Citation Percentile
0.7%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals