Deep Learning of Histopathology Images at the Single Cell Level is a research paper published in Frontiers in Artificial Intelligence (2021). On theSindex it has a DataRank of 0.617. It has been cited 60 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
0.617
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 Cancer Institute
Grant: T32 CA233399 R01 CA250984
NCI NIH HHS
Grant: T32 CA233399
NIDCR NIH HHS
Grant: R01 DE030508
NCI NIH HHS
Grant: P01 CA250984
National Institutes of Health
Grant: 7R01DE030508-03
Decoding tobacco-related oral cancer ecosystem by integrative approach
National Institutes of Health
Grant: 1P01CA250984-01A1
Identifying Metabolic Vulnerabilities in Lung Cancer
National Institutes of Health
Grant: 1T32CA233399-01A1
Integrated Program in Cancer and Data Science
National Institutes of Health
Grant: 3P30CA076292-24S2
Moffitt Cancer Center Support Grant
FWCI
6.46
Citation Percentile
1.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals