Predicting Short-Term Risk of Falls in a High-Risk Group With Dementia is a research paper published in Journal of the American Medical Directors Association (2020). On theSindex it has a DataRank of 0. It has been cited 33 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.
Mitacs
Grant: IT11267
Canadian Institutes of Health Research
Grant: 169166
Canadian Institutes of Health Research
Grant: MSH-141-983
Natural Sciences and Engineering Research Council of Canada
Grant: 499955-16
Natural Sciences and Engineering Research Council of Canada
Grant: RGPIN 435653
Natural Sciences and Engineering Research Council of Canada
Grant: unidentified
unidentified
Canadian Institutes of Health Research
Natural Sciences and Engineering Research Council of Canada
AGE-WELL
Alzheimer's Association
FWCI
6.71
Citation Percentile
1.0%
Influential Citations
3
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of A pilot observational study of gait changes over time before and after an unplanned hospital visit in long-term care residents with dementia
Additional file 1 of A pilot observational study of gait changes over time before and after an unplanned hospital visit in long-term care residents with dementia
Additional file 1 of Evaluating the ability of a predictive vision-based machine learning model to measure changes in gait in response to medication and DBS within individuals with Parkinson’s disease
Additional file 1 of Evaluating the ability of a predictive vision-based machine learning model to measure changes in gait in response to medication and DBS within individuals with Parkinson’s disease