Quantifying Yeast Microtubules and Spindles Using the Toolkit for Automated Microtubule Tracking (TAMiT) is a research paper published in Biomolecules (2023). On theSindex it has a DataRank of 0.208. It has been cited 3 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
0.208
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 βNIH
Grant: R01 GM124371
NIH
Grant: DMR 1725065
NIH
Grant: 1651841
NIH
Grant: T32-GM008730
NIGMS NIH HHS
Grant: T32 GM008730
National Institutes of Health
Grant: 5T32GM008730-02
PREDOCTORAL TRAINING IN MOLECULAR BIOLOGY
National Science Foundation
Grant: 1725065
Theory of dynamic cytoskeletal length regulation and stabilization
National Institutes of Health
Grant: 5R01GM124371-04
Mechanisms of Kinesin-5 Motors in Mitotic Spindle Assembly
FWCI
0.39
Citation Percentile
0.5%
Citation Trend
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