Statistical Disease Progression Modeling in Alzheimer Disease is a research paper published in Frontiers in Big Data (2020). On theSindex it has a DataRank of 0. It has been cited 87 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.
Canadian Institutes of Health Research
Grant: unidentified
unidentified
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
NIA NIH HHS
Grant: U01 AG024904
FWCI
5.10
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals
Additional file 1 of Progression analysis versus traditional methods to quantify slowing of disease progression in Alzheimer’s disease
Additional file 1 of Progression analysis versus traditional methods to quantify slowing of disease progression in Alzheimer’s disease
Additional file 1 of Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer’s disease and related dementia
Additional file 1 of Disease progression model anchored around clinical diagnosis in longitudinal cohorts: example of Alzheimer’s disease and related dementia