Powered by OpenAIRE graph
Found an issue? Give us feedback
ZENODOarrow_drop_down
ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
ZENODO
Software . 2021
Data sources: ZENODO
 View all 2 versions
Claim

This Research product is the result of merged Research products in OpenAIRE.

You have already added 0 works in your ORCID record related to the merged Research product.

particleShearEvaluation: Import and analysis of output files generated by the discrete particle simulation Python module particleShear

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Mar 2021Publisher:ZenodoFunded by:SNSF | Mesenchymal and metabolic..., SNSF | Brain Patch Technology, SNSF | Cell Patch Technology +1 projects
Authors: Thomas Braschler;

doi: 10.5281/zenodo.4594648 , 10.5281/zenodo.4594649

particleShearEvaluation: Import and analysis of output files generated by the discrete particle simulation Python module particleShear

Abstract

R library designed to import and analyze digital rheology text files produced by the Python module particleShear (https://github.com/tbgitoo/particleShear). In R, you can install the particleShearEvaluation library by: library(devtools) install_github(particleShearEvaluation) This R package was used to analyze the raw output of numerical simulations from the particleShear python module for the publication "An Injectable MetaBiomaterial: From Design and Simulation ot In Vivo Shaping and Tissue Induction", by A. Béduer, F.Bonini, C. Verheyen et al. (DOI: 10.1002/adma.202102350). Usage examples can be found in the associated CodeOcean reproducible evaluation capsule (DOI: 10.24433/CO.6934377.v1: in the capsule, see /code/Data analysis/Data import/Simulation for example scripts). 

Related Organizations
  • BIP!
    Impact byBIP!
    citations
    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).
    		 0
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
    OpenAIRE UsageCounts
    Usage byUsageCounts
    visibility views 11
  • 11
    views
    Powered byOpenAIRE UsageCounts
Powered by OpenAIRE graph
Found an issue? Give us feedback
visibility
citations
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!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
11
Related to Research communities
Knowmad Institut