IntroUNET: Identifying introgressed alleles via semantic segmentation is a research paper published in PLoS Genetics (2024). On theSindex it has a DataRank of 0.449. It has been cited 19 times.
Scored on demand from live citation data
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
0.449
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
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 Institutes of Health
Grant: R35GM138286
National Institutes of Health
Grant: R01HG010774
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Grant: R01AI153523
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Grant: 5R01AI153523-04
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Grant: 5R35GM138286-02
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Grant: 5R01HG010774-02
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FWCI
6.92
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
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