Crowdsourcing digital health measures to predict Parkinson’s disease severity: the Parkinson’s Disease Digital Biomarker DREAM Challenge is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2020). On theSindex it has a DataRank of 0.330. It has been cited 8 times.
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Base Score Contribution
0.330
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.
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Grant: unidentified
unidentified
Swiss National Science Foundation
Grant: 167302
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Research Council of Finland
Grant: 314443
Immunoregulation and Therapeutic Precision in Rheumatoid Arthritis / Consortium: Heal-Art
European Commission
Grant: 677943
From longitudinal proteomics to dynamic individualized diagnostics
Research Council of Finland
Grant: 296801
Boosting personalized prediction of disease and treatment risks
Research Council of Finland
Grant: 310561
Tools to translate proteomes to human health and diagnostics
National Institutes of Health
Grant: 3R35GM133346-05S1
Machine Learning for Drug Response Prediction
Research Council of Finland
Grant: 304995
From metaproteomics to individualized treatment
National Institutes of Health
Grant: 5UL1TR002001-08
The University of Rochester Clinical and Translational Science Award Hub
European Commission
Grant: 675395
European Network linking informatics and genomics of helper T cells
National Institutes of Health
Grant: 5T32GM070449-12
The University of Michigan Bioinformatics Training Program
Fields of Study
Keywords
Sustainable Development Goals