Automatic discovery of clinically interpretable imaging biomarkers for Mycobacterium tuberculosis supersusceptibility using deep learning is a research paper published in EBioMedicine (2020). On theSindex it has a DataRank of 0.529. It has been cited 33 times.
Scored on demand from live citation data
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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
0.529
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: R01 HL145411
National Institutes of Health
Grant: R21 AI115038
American Lung Association
Grant: RG-349504
Ohio State University
Grant: P30 CA016058
National Institutes of Health
Grant: 7R01HL145411-05
Predicting tuberculosis outcomes using genotypic and biomarker signatures
National Institutes of Health
Grant: 3P30CA016058-15S1
CORE--HORMONE RECEPTOR LABORATORY
National Institutes of Health
Grant: 1R21AI115038-01
Genetic-based susceptibility to pulmonary tuberculosis
Comprehensive Cancer Center, City of Hope
FWCI
0.51
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals