Deep Learning Identifies Digital Biomarkers for Self-Reported Parkinson's Disease is a research paper published in Patterns (2020). On theSindex it has a DataRank of 0. It has been cited 77 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.
American Heart Association
Grant: 19AMTG34850176
National Science Foundation
Grant: 1452656
CAREER: On-line Service for Predicting Protein Phosphorylation Dynamics Under Unseen Perturbations
Michael J. Fox Foundation for Parkinson's Research
Grant: 17373
Michael J. Fox Foundation for Parkinson's Research
Grant: P30AG053760
Michael J. Fox Foundation for Parkinson's Research
Grant: P50NS091856
Michael J. Fox Foundation for Parkinson's Research
Grant: R21NS114749
National Institutes of Health
Grant: 1R35-GM133346-01
NIGMS NIH HHS
Grant: R35 GM133346
National Institutes of Health
Grant: 5P50NS091856-03
Cholinergic Mechanisms of Gait Dysfunction in Parkinson's Disease
National Institutes of Health
Grant: 3R35GM133346-05S1
Machine Learning for Drug Response Prediction
National Institutes of Health
Grant: 1R21NS114749-01
Vigor and the LDR in Parkinson disease
National Institutes of Health
Grant: 1P30AG053760-01
Michigan Alzheimer's Disease Core Center
Merck KGaA
Parkinson's Foundation
American Parkinson Disease Association
F. Hoffmann-La Roche
FWCI
3.93
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals