Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort is a research paper published in Nature Mental Health (2024). On theSindex it has a DataRank of 0.385. It has been cited 12 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.385
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 βDutch Research Council (NWO)
Grant: 480-04-004
NIMH NIH HHS
Grant: RC2 MH089995
Dutch Research Council (NWO)
Grant: 451-04-034
European Research Council
Grant: 771057
Dutch Research Council (NWO)
Grant: 480-15-001
EPA
Grant: EP-C-15-001
Dutch Research Council (NWO)
Grant: 14192
ZonMw
Grant: 91210020
ZonMw
Grant: 31160008
Dutch Research Council (NWO)
Grant: 463-06-001
NIDDK NIH HHS
Grant: R01 DK092127
NIMH NIH HHS
Grant: R01 MH081802
FWCI
2.81
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords