Decoding the exposome: data science methodologies and implications in exposome-wide association studies (ExWASs) is a research paper published in Exposome (2024). On theSindex it has a DataRank of 0.678. It has been cited 91 times.
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Base Score Contribution
0.678
From this paper's citation signal
Citation Network Contribution
0
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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 →National Institute for Environmental Health Sciences
Grant: ES032470
National Institute for Environmental Health Sciences
Grant: P30ES000002
National Institute on Aging
Grant: AG074372
NIEHS NIH HHS
Grant: P30 ES020957
NIAID NIH HHS
Grant: R01 AI141569
Medical Research Council
Grant: MR/S019669/1
NIEHS NIH HHS
Grant: R01 ES032470
NIA NIH HHS
Grant: RF1 AG074372
NIEHS NIH HHS
Grant: K08 ES028825
NIEHS NIH HHS
Grant: P30 ES010126
NIA NIH HHS
Grant: R01 AG074372
NIEHS NIH HHS
Grant: U2C ES026555
National Institutes of Health
Grant: 5P30ES000002-36
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National Institutes of Health
Grant: 5R01ES032470-05
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Keywords
Additional file 1 of Exposure to heavy metals in utero and autism spectrum disorder at age 3: a meta-analysis of two longitudinal cohorts of siblings of children with autism
Additional file 1 of Exposure to heavy metals in utero and autism spectrum disorder at age 3: a meta-analysis of two longitudinal cohorts of siblings of children with autism