Predicting cancer origins with a DNA methylation-based deep neural network model is a research paper published in PLoS ONE (2020). On theSindex it has a DataRank of 0.612. It has been cited 58 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.612
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 →Eunice Kennedy Shriver National Institute of Child Health and Human Development
Grant: DP2HD084068
National Institute on Aging
Grant: AG057557-01
National Institute on Aging
Grant: AG061388-01
National Institute on Aging
Grant: AG062272-01
American Cancer Society
Grant: RSG-16-049-01-MPC
NIA NIH HHS
Grant: R01 AG057557
NCATS NIH HHS
Grant: UL1 TR002548
NIA NIH HHS
Grant: R56 AG062272
National Institutes of Health
Grant: 5R56AG062272-02
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Grant: 1DP2HD084068-01
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FWCI
2.51
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals