Development and external validation of machine learning algorithms for postnatal gestational age estimation using clinical data and metabolomic markers is a research paper published in PLoS ONE (2023). On theSindex it has a DataRank of 0.448. It has been cited 11 times, with 5 citing works in its 1-hop citation network.
Scored on demand from live citation data
Repositories this paper deposited data in (declared in PubMed).
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.
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Base Score Contribution
0.373
From this paper's citation signal
Citation Network Contribution
0.0752
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.
Bill and Melinda Gates Foundation
Grant: OPP1141535
Bill and Melinda Gates Foundation
Grant: OPP1033514
National Institutes of Health
Grant: P30 AI50410 and D43 TW009340
FWCI
1.69
Citation Percentile
0.8%
Citation Trend
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