Predicting sporadic Alzheimer's disease progression via inherited Alzheimer's disease‐informed machine‐learning is a research paper published in Alzheimer s & Dementia (2020). On theSindex it has a DataRank of 0.652. It has been cited 76 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
0.652
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 →NIA NIH HHS
Grant: K01 AG053474
National Institute for Health Research (NIHR)
Grant: NF-SI-0512-10033
NIA NIH HHS
Grant: U19 AG032438
Medical Research Council
Grant: UKDRI-1001
NIA NIH HHS
Grant: U01 AG024904
NIA NIH HHS
Grant: U19 AG024904
NIA NIH HHS
Grant: UF1 AG032438
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
National Institutes of Health
Grant: 3UF1AG032438-07S3
Dominantly Inherited Alzheimer Network
Canadian Institutes of Health Research
Grant: unidentified
unidentified
European Commission
Grant: 334259
Vascular and Aymloid Predictors of Neurodegeneration and Cognitive Decline in Nondemented Subjects.
FWCI
7.08
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals