Examining Prenatal Dietary Factors in Association with Child Autism-Related Traits Using a Bayesian Mixture Approach: Results from 2 United States Cohorts is a dataset published in Current Developments in Nutrition (2023). On theSindex it has a DataRank of 0.391, placing it in the top 46.6% of the data-sharing corpus. It has been cited 7 times, with 5 citing works in its 1-hop citation network.
Ranks in the top 47% for downstream scientific impact
DataRank reads this dataset's downstream impact straight off the citation graph — 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 — never from an abstract alone.
Base Score Contribution
0.312
From this paper's citation signal
Citation Network Contribution
0.0791
From 3 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 5 citers.
National Institute of Mental Health
Grant: R01 ES016443
National Institute of Neurological Disorders and Stroke
Grant: AS 5938
National Institute of Neurological Disorders and Stroke
Grant: U01 CA176726
National Institute of Neurological Disorders and Stroke
Grant: U01 HL145386
NIEHS NIH HHS
Grant: R24 ES028533
NIEHS NIH HHS
Grant: U24 ES028533
Autism Speaks
National Institutes of Health
Eunice Kennedy Shriver National Institute of Child Health and Human Development
National Institute of Environmental Health Sciences
Eagles Autism Foundation
FWCI
1.27
Citation Percentile
0.8%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals