TDAExplore: Quantitative analysis of fluorescence microscopy images through topology-based machine learning is a research paper published in Patterns (2021). On theSindex it has a DataRank of 0.416. It has been cited 15 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?
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Base Score Contribution
0.416
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.
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Grant: W911NF-18-1-0307
National Science Foundation
Grant: DMS-1764406
National Institutes of Health
Grant: R00 NS087104
National Institutes of Health
Grant: R35 GM137959
Simons Foundation
Grant: 594594
National Science Foundation
Grant: 1764406
NSF-Simons Southeast Center for Mathematics and Biology
National Institutes of Health
Grant: 4R00NS087104-02
Novel mechanisms of actin dynamics underlying cell motility, axon growth, and ALS
National Institutes of Health
Grant: 5R35GM137959-06
Deciphering the Mechanisms and Cellular Roles of Monomer-Driven Actin Dynamics
Army Research Office
FWCI
2.35
Citation Percentile
0.9%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals