Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis is a research paper published in Medical Image Analysis (2020). On theSindex it has a DataRank of 0.581. It has been cited 47 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
0.581
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 Natural Science Foundation of China
Grant: U1809205
National Natural Science Foundation of China
Grant: 61771249
National Natural Science Foundation of China
Grant: 81270737
National Natural Science Foundation of China
Grant: 81871352
National Natural Science Foundation of China
Grant: 91959207
National Natural Science Foundation of China
Grant: 81401256
National Natural Science Foundation of China
Grant: 31771652
National Key Research and Development Program of China
Grant: 2015CB943002
Biomedical Laboratory Research and Development, VA Office of Research and Development
Grant: W81XWH-19-1-0668
U.S. Department of Defense
Grant: W81XWH-18-1-0440
U.S. Department of Defense
Grant: W81XWH-16-1-0329
National Center for Research Resources
Grant: 1C06 RR12463-01
National Center for Research Resources
Grant: IBX004121A
National Institutes of Health
Grant: R01CA202752-01A1
National Institutes of Health
Grant: R01 CA220581-01A1
National Institutes of Health
Grant: R01 CA216579-01A1
National Institutes of Health
Grant: 1U01 CA239055-01
National Institutes of Health
Grant: R01CA208236-01A1
National Institutes of Health
Grant: 1U24CA199374-01
Pathology Image Informatics Platform for visualization, analysis and management
National Institute of Biomedical Imaging and Bioengineering
Grant: 1R43EB028736-01
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear Slides
BLRD VA
Grant: I01 BX004121
NCI NIH HHS
Grant: U01 CA248226
NCI NIH HHS
Grant: U24 CA199374
NCRR NIH HHS
Grant: C06 RR012463
NCI NIH HHS
Grant: R01 CA208236
NCI NIH HHS
Grant: R01 CA220581
NIBIB NIH HHS
Grant: R43 EB028736
NCI NIH HHS
Grant: U01 CA239055
BLRD VA
Grant: IK6 BX006185
NCI NIH HHS
Grant: R01 CA202752
NCI NIH HHS
Grant: R01 CA216579
National Institutes of Health
Grant: 5R01CA216579-03
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung Cancers
National Institutes of Health
Grant: 5R01CA202752-05
Computerized histologic image predictor of cancer outcome
National Institutes of Health
Grant: 1C06RR012463-01
BIOMEDICAL ENGINEERING RESEARCH FACILITIES
National Institutes of Health
Grant: 5R01CA208236-02
MR Fingerprinting and Computerized Decision Support for Prostate Cancer
National Institutes of Health
Grant: 5R01CA220581-05
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal Carcinoma
National Institutes of Health
Grant: 5U01CA239055-02
HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identification
National Natural Science Foundation of China
FWCI
4.41
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals