Measuring the predictability of life outcomes with a scientific mass collaboration is a research paper published in Proceedings of the National Academy of Sciences (2020). On theSindex it has a DataRank of 0.869. It has been cited 328 times.
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Base Score Contribution
0.869
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: NA
National Science Foundation
Grant: 1761810
Spokes: MEDIUM: NORTHEAST: Collaborative Research: Data Science Foundry: A Collaborative Platform for Computational Social Science
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: P2CHD047879
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: P2CHD041022
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: T32HD007545
HHS | National Institutes of Health
Grant: R01HL133218
National Science Foundation
Grant: 1750729
CAREER: Recovering complex associations from high-dimensional genomic data
MRC Mental Health Data Pathfinder Award
Grant: MC_PC_17209
Leveraging routinely collected and linked research data to study the causes and consequences of common mental disorders
DOD | Defense Advanced Research Projects Agency
Grant: D17AC00003 (NGS2)
National Science Foundation
Grant: 1750555
CAREER: Stable Foundations for Reliable Machine Learning
National Science Foundation
Grant: 1122374
Graduate Research Fellowship Program
HHS | NIH | Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: P2CHD042828
ED | Institute of Education Sciences
Grant: R305B140009
National Science Foundation
Grant: IIS-1704444
RCUK | Engineering and Physical Sciences Research Council
Grant: EP/N510129/1
The Alan Turing Institute
National Institutes of Health
Grant: 3P2CHD041022-20S1
California Center for Population Research (CCPR) at UCLA
National Institutes of Health
Grant: 5R01HD036916-19
Fragile Families and the Transition to Adulthood
National Institutes of Health
Grant: 5P2CHD042828-17
Demography Center
National Institutes of Health
Grant: 5R01HL133218-03
Epigenetic fine-mapping of cardiometabolic disease loci in the human liver
National Science Foundation
Grant: 1760052
Spokes: MEDIUM: NORTHEAST: Collaborative Research: Data Science Foundry: A Collaborative Platform for Computational Social Science
National Institutes of Health
Grant: 2P2CHD047879-11
Infrastructure for the Office of Population Research
National Institutes of Health
Grant: 5R01HD040421-02
Child Care and Parental Employment in Fragile Families
National Institutes of Health
Grant: 5R24HD047879-10
Infrastructure for Population Research
National Institutes of Health
Grant: 5R01HD039135-03
ECONOMIC STATUS, PUBLIC POLICY, AND CHILD NEGLECT
National Science Foundation
Grant: 1704444
CHS: Large: Collaborative Research: Pervasive Data Ethics for Computational Research
National Institutes of Health
Grant: 5T32HD007545-23
California Center for Population Research Training Program
Fields of Study
Keywords
Sustainable Development Goals
Privacy, Prediction, and Allocation
Additional file 1 of Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991–2019
Additional file 1 of Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991–2019
Additional file 2 of Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991–2019
Additional file 2 of Trends in the ability of socioeconomic position to predict individual body mass index: an analysis of repeated cross-sectional data, 1991–2019