How well do social frailty indices predict incident dementia in older adults? is a research paper published in The Journals of Gerontology Series B (2025). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Scored on demand from live citation data
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
0.292
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 Health & Medical Research Council
Grant: ID350833
National Health & Medical Research Council
Grant: ID568969
National Health & Medical Research Council
Grant: APP1093083
National Institutes of Health
Grant: 2R01AG057531
NIA NIH HHS
Grant: R01 AG057531
National Health and Medical Research Council (NHMRC)
Grant: 1093083
Risk factors, early diagnosis, and effective interventions for neurocognitive disorders
National Institutes of Health
Grant: 5R01AG057531-03
A global epidemiology of cognitive impairment and dementia due to Alzheimer's disease and related disorders: the COSMIC Collaboration
National Health and Medical Research Council (NHMRC)
Grant: 568969
Prevention, early detection and effective management of neurocognitive disorders in the elderly
National Health and Medical Research Council (NHMRC)
Grant: 1196150
Developing robust biomarkers for vascular cognitive impairment and dementia: Adding V to the ATN research framework
National Health and Medical Research Council (NHMRC)
Grant: 350833
The prevention, early detection, & effective management of neurocognitive disorders in the elderly
FWCI
4.64
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords