UNSEG: unsupervised segmentation of cells and their nuclei in complex tissue samples is a research paper published in Communications Biology (2024). On theSindex it has a DataRank of 0.292. It has been cited 6 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β 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 β never from an abstract alone.
Base Score Contribution
0.292
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 βU.S. Department of Health & Human Services | National Institutes of Health
Grant: UL1TR001857
National Institutes of Health
Grant: 3UL1TR001857-07S1
University of Pittsburgh Clinical and Translational Science Institute
FWCI
2.64
Citation Percentile
0.9%
Influential Citations
2
Citation Trend
Fields of Study
MeSH Terms
Keywords