Automated Segmentation of Kidney Nephron Structures by Deep Learning Models on Label-free Autofluorescence Microscopy for Spatial Multi-omics Data Acquisition and Mining is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2021). On theSindex it has a DataRank of 0.416. It has been cited 15 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?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.416
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 Institute of Diabetes and Digestive and Kidney Diseases
Grant: U54DK134302
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: U54DK120058
National Institute of Diabetes and Digestive and Kidney Diseases
Grant: U01DK133766
National Institute of Allergy and Infectious Diseases
Grant: R01AI138581
National Institute on Aging
Grant: R01AG078803
National Eye Institute
Grant: U54EY032442
Chan Zuckerberg Initiative
Grant: 2021-240339
Chan Zuckerberg Initiative
Grant: 2022-309518
Fields of Study
Keywords
Sustainable Development Goals