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ZENODO
Software . 2022
License: https://creativecommons.org/licenses/by/3.0/us/legalcode
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: https://creativecommons.org/licenses/by/3.0/us/legalcode
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2022
License: http://creativecommons.org/licenses/by/3.0/us/legalcode
Data sources: ZENODO
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Collider

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 25 Oct 2022Publisher:Zenodo
Authors: Pedrom Zadeh;

doi: 10.5281/zenodo.7249509 , 10.5281/zenodo.7249510

Abstract

This codebase generates all the simulations and data presented in our paper [1]. Briefly, two cells are modeled energetically within the phase-field framework and undergo head-on collisions. Our main goal is to study how the speed and contact angle of the cell affect its chances to remain persistent upon head-on collisions. [1] Zadeh, Pedrom, and Brian A., Camley. "Picking winners in cell-cell collisions: wetting, speed, and contact".bioRxiv (2022).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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