Personalized mood prediction from patterns of behavior collected with smartphones is a research paper published in npj Digital Medicine (2024). On theSindex it has a DataRank of 0.529. It has been cited 33 times.
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Base Score Contribution
0.529
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 →NINDS NIH HHS
Grant: T32 NS048004
NIMH NIH HHS
Grant: R01 MH122569
NIGMS NIH HHS
Grant: R35 GM125055
NIGMS NIH HHS
Grant: R35 GM153406
NIMH NIH HHS
Grant: R37 MH085953
National Science Foundation
Grant: 1829071
NRT-HDR: Modeling and Understanding Human Behavior: Harnessing Data from Genes to Social Networks
National Science Foundation
Grant: 1705121
III: Medium: Scalable Machine Learning for Genome-Wide Association Analyses
National Institutes of Health
Grant: 5R35GM125055-04
Statistical Models for Dissecting Human Population Admixture and its Role in Evolution and Disease
National Science Foundation
Grant: 1943497
CAREER: Flexible and efficient mixed models to infer the genetic architecture of complex phenotypes
National Institutes of Health
Grant: 1R01MH122569-01
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder
FWCI
11.55
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals