Machine Learning in Aging: An Example of Developing Prediction Models for Serious Fall Injury in Older Adults is a research paper published in The Journals of Gerontology Series A (2020). On theSindex it has a DataRank of 0.641. It has been cited 71 times.
Scored on demand from live citation data
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
0.641
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 Association for Clinical and Translational Sciences
Grant: KL2TR001421
National Association for Clinical and Translational Sciences
Grant: UL1TR001420
Claude D. Pepper Older Americans Independence Center, University of California San Francisco
Grant: P30AG21332
Claude D. Pepper Older Americans Independence Center, University of California San Francisco
Grant: U24AG05964
Claude D. Pepper Older Americans Independence Center, University of California San Francisco
Grant: K07AG3587
Claude D. Pepper Older Americans Independence Center, University of California San Francisco
Grant: P30AG021342
Claude D. Pepper Older Americans Independence Center, University of California San Francisco
Grant: K76AG059986
National Institute on Aging
Grant: U01AG22376
National Institute on Aging
Grant: 3U01AG022376-05A2S
NIA NIH HHS
Grant: U01 AG022376
NIA NIH HHS
Grant: P30 AG021332
NIA NIH HHS
Grant: P30 AG024827
NIA NIH HHS
Grant: P30 AG028740
NCATS NIH HHS
Grant: UL1 TR001863
National Heart, Lung, and Blood Institute
National Institutes of Health
Wake Forest School of Medicine
FWCI
11.70
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Additional file 3 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Additional file 3 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Additional file 1 of A systematic review of chiropractic care for fall prevention: rationale, state of the evidence, and recommendations for future research
Additional file 1 of A systematic review of chiropractic care for fall prevention: rationale, state of the evidence, and recommendations for future research
Additional file 2 of A systematic review of chiropractic care for fall prevention: rationale, state of the evidence, and recommendations for future research
Additional file 2 of A systematic review of chiropractic care for fall prevention: rationale, state of the evidence, and recommendations for future research
Additional file 2 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Additional file 2 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Additional file 1 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome
Additional file 1 of Opening the black box: interpretable machine learning for predictor finding of metabolic syndrome