A deep learning-based segmentation pipeline for profiling cellular morphodynamics using multiple types of live cell microscopy is a research paper published in Cell Reports Methods (2021). On theSindex it has a DataRank of 0.520. It has been cited 31 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
0.520
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: R15GM122012
National Institutes of Health
Grant: R35GM133725
National Institutes of Health
Grant: 1R35GM133725-01
Unraveling subcellular heterogeneity of molecular coordination by machine learning
National Institutes of Health
Grant: 1R15GM122012-01
Spatiotemporal Coordination of Actin Regulators and Traction Forces in Heterogeneous Cell Protrusions
FWCI
4.42
Citation Percentile
0.9%
Citation Trend
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