BASIN: A Semi-automatic Workflow, with Machine Learning Segmentation, for Objective Statistical Analysis of Biomedical and Biofilm Image Datasets is a research paper published in Journal of Molecular Biology (2022). On theSindex it has a DataRank of 0.330. It has been cited 8 times.
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DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
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Base Score Contribution
0.330
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 Institutes of Health
Grant: 5P20GM103443-20
South Dakota Biomedical Research Infrastructure Network
National Science Foundation Experimental Program to Stimulate Competitive Research
Grant: 1849206
RII Track-1: Building on The 2020 Vision: Expanding Research, Education and Innovation in South Dakota
National Science Foundation Experimental Program to Stimulate Competitive Research
Grant: 1920954
RII Track-2 FEC: Data Driven Material Discovery Center for Bioengineering Innovation
NIGMS NIH HHS
Grant: P20 GM103443
NCRR NIH HHS
Grant: P20 RR016479
Foundation for the National Institutes of Health
National Science Foundation
National Science Foundation Division of Graduate Education
FWCI
1.74
Citation Percentile
0.9%
Citation Trend
Fields of Study
MeSH Terms
Keywords