A platform-independent AI tumor lineage and site (ATLAS) classifier is a research paper published in Communications Biology (2024). On theSindex it has a DataRank of 0.165. It has been cited 2 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?
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Base Score Contribution
0.165
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 →U.S. Department of Health & Human Services | National Institutes of Health
Grant: 1UH2CA260389
U.S. Department of Health & Human Services | National Institutes of Health
Grant: R01CA247479
U.S. Department of Defense
Grant: PC190039
U.S. Department of Defense
Grant: PC200334
U.S. Department of Defense
Grant: PC180469
University of Wisconsin Carbone Cancer Center
Grant: P30 CA014520
Doris Duke Charitable Foundation
Grant: 2021088
NIH HHS
Grant: DP2 OD030734
NCI NIH HHS
Grant: UH2 CA260389
NIGMS NIH HHS
Grant: T32 GM140935
National Institutes of Health
Grant: 1UH2CA260389-01
Validation of predictive liquid biomarkers for patients with metastatic prostate cancer
National Institutes of Health
Grant: 5P30CA014520-18
CANCER CENTER SUPPORT
National Institutes of Health
Grant: 5R01CA247479-05
Enhancing Epigenetic Analysis Of Rare Cells With Multi-Phase Microfluidics
U.S. Department of Health & Human Services | National Institutes of Health
FWCI
0.36
Citation Percentile
0.6%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals