Machine Learning–Based Critical Congenital Heart Disease Screening Using Dual‐Site Pulse Oximetry Measurements is a research paper published in Journal of the American Heart Association (2024). On theSindex it has a DataRank of 0.615. It has been cited 12 times, with 11 citing works in its 1-hop citation network.
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Linked data & code
Repositories this paper deposited data in (declared in PubMed).
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Base Score Contribution
0.385
From this paper's citation signal
Citation Network Contribution
0.230
From 6 citing papers with measurable signal
Ranked by each citer's contribution to N(p) — log1p(Cq) divided by its reference count — out of 11 citers.
NICHD NIH HHS
Grant: R21 HD099239
NCATS NIH HHS
Grant: KL2 TR001859
National Institutes of Health
Grant: 1R21HD099239-01
Improving Critical Congenital Heart Disease Screening and Detection of "Secondary" Targets
National Institutes of Health
Grant: 5UL1TR001860-10
UC Davis Clinical and Translational Science Center
National Institutes of Health
Grant: 5KL2TR001859-03
Institutional Career Development Core
FWCI
3.40
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals