High performance in risk stratification of intraductal papillary mucinous neoplasms by confocal laser endomicroscopy image analysis with convolutional neural networks (with video) is a research paper published in Gastrointestinal Endoscopy (2021). On theSindex it has a DataRank of 0.652. It has been cited 76 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
0.652
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: R01CA223204
American College of Gastroenterology
Grant: NCT02516488
Ohio State University
Comprehensive Cancer Center, University of Chicago Medical Center
National Institutes of Health
Mauna Kea Technologies
FWCI
4.14
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals