Agent-based model predicts that layered structure and 3D movement work synergistically to reduce bacterial load in 3D in vitro models of tuberculosis granuloma is a research paper published in PLoS Computational 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 — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
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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.
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Grant: TG-MDE220002
National Science Foundation
Grant: support to XSEDE via ACI-1548562
Division of Intramural Research, National Institute of Allergy and Infectious Diseases
Grant: #75N93019C0070
National Center for Advancing Translational Sciences
Grant: TL1TR002531
NIAID NIH HHS
Grant: 75N93019C00070
National Institutes of Health
Grant: 5TL1TR002531-05
NRSA Training Core
FWCI
1.79
Citation Percentile
0.8%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals