Prediction of Autism Risk From Family Medical History Data Using Machine Learning: A National Cohort Study From Denmark is a dataset published in Biological Psychiatry Global Open Science (2021). On theSindex it has a DataRank of 1.2, placing it in the top 16.7% of the data-sharing corpus. It has been cited 34 times, with 30 citing works in its 1-hop citation network.
Ranks in the top 17% 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
0.533
From this paper's citation signal
Citation Network Contribution
0.695
From 21 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 30 citers.
Lundbeckfonden
Grant: R102-A9118
Lundbeckfonden
Grant: R155-2014-1724
NIEHS
Grant: R01ES026993
National Institutes of Health
Grant: 5R01ES026993-02
Air-pollution risk for Autism and ADHD - cross-disorder insights and genetic liability
National Institutes of Health
Fields of Study
Keywords
Sustainable Development Goals