Deep learning imaging features derived from kidney ultrasounds predict chronic kidney disease progression in children with posterior urethral valves is a research paper published in Pediatric Nephrology (2022). 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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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 →NIH NIDDK
Grant: R21DK117297
NIH
Grant: TL1TR001880
NIH
Grant: 2UL1TR001878-06
Institutional Clinical and Translational Science Award
NIDDK NIH HHS
Grant: K23 DK131331
NCATS NIH HHS
Grant: UL1 TR001878
NIH HHS
Grant: S10 OD023495
National Institutes of Health
Grant: 1R21DK117297-01A1
Anatomic biomarkers of chronic kidney disease progression among children
National Institutes of Health
Grant: 5TL1TR001880-02
Institutional Clinical and Translational Science Award
FWCI
10.49
Citation Percentile
1.0%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals