Machine learning, the kidney, and genotype–phenotype analysis is a research paper published in Kidney International (2020). On theSindex it has a DataRank of 0.553. It has been cited 39 times.
Scored on demand from live citation data
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Base Score Contribution
0.553
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 →NIDDK NIH HHS
Grant: K08 DK115891
NIDDK NIH HHS
Grant: U24 DK114886
NIDDK NIH HHS
Grant: U2C DK114886
NIDDK NIH HHS
Grant: U24 DK100845
NIDDK NIH HHS
Grant: UH3 DK114908
NCATS NIH HHS
Grant: UH3 TR002158
National Institutes of Health
Grant: 5U24DK100845-08
CureGN
National Institutes of Health
Grant: 5K08DK115891-02
Integrative Molecular Epidemiology Approach to Identify Nephrotic Syndrome Subgroups
National Institutes of Health
Grant: 5U01DK114907-07
PREcision Medicine through IntErrogation of Rna in the kidnEy (PREMIERE)
National Institutes of Health
Grant: 1U2CDK114886-01
Central Hub for Kidney Precision Medicine
National Institutes of Health
Grant: 5UH3TR002158-05
A Microphysiological System for Kidney Disease Modeling and Drug Efficacy Testing
National Institutes of Health
FWCI
3.02
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals