Prediction and Modeling of Neuropsychological Scores in Alzheimer’s Disease Using Multimodal Neuroimaging Data and Artificial Neural Networks is a research paper published in Frontiers in Computational Neuroscience (2022). On theSindex it has a DataRank of 0. It has been cited 26 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.
NIA NIH HHS
Grant: U19 AG024904
NIA NIH HHS
Grant: U01 AG024904
Canadian Institutes of Health Research
Grant: unidentified
unidentified
European Commission
Grant: 666992
Data-driven models for Progression Of Neurological Disease
National Institutes of Health
Grant: 1U01AG024904-01
Alzheimers Disease Neuroimaging Initiative
FWCI
3.38
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals