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Bifurcation Analysis of Reaction Diffusion Systems on Arbitrary Surfaces

Overview of attention for article published in Bulletin of Mathematical Biology, February 2017
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Title
Bifurcation Analysis of Reaction Diffusion Systems on Arbitrary Surfaces
Published in
Bulletin of Mathematical Biology, February 2017
DOI 10.1007/s11538-017-0255-8
Pubmed ID
Authors

Daljit Singh J. Dhillon, Michel C. Milinkovitch, Matthias Zwicker

Abstract

In this paper, we present computational techniques to investigate the effect of surface geometry on biological pattern formation. In particular, we study two-component, nonlinear reaction-diffusion (RD) systems on arbitrary surfaces. We build on standard techniques for linear and nonlinear analysis of RD systems and extend them to operate on large-scale meshes for arbitrary surfaces. In particular, we use spectral techniques for a linear stability analysis to characterise and directly compose patterns emerging from homogeneities. We develop an implementation using surface finite element methods and a numerical eigenanalysis of the Laplace-Beltrami operator on surface meshes. In addition, we describe a technique to explore solutions of the nonlinear RD equations using numerical continuation. Here, we present a multiresolution approach that allows us to trace solution branches of the nonlinear equations efficiently even for large-scale meshes. Finally, we demonstrate the working of our framework for two RD systems with applications in biological pattern formation: a Brusselator model that has been used to model pattern development on growing plant tips, and a chemotactic model for the formation of skin pigmentation patterns. While these models have been used previously on simple geometries, our framework allows us to study the impact of arbitrary geometries on emerging patterns.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 23%
Student > Ph. D. Student 5 17%
Student > Master 4 13%
Student > Doctoral Student 3 10%
Professor > Associate Professor 2 7%
Other 4 13%
Unknown 5 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 27%
Mathematics 4 13%
Physics and Astronomy 3 10%
Biochemistry, Genetics and Molecular Biology 2 7%
Engineering 2 7%
Other 4 13%
Unknown 7 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2020.
All research outputs
#16,347,621
of 24,077,652 outputs
Outputs from Bulletin of Mathematical Biology
#750
of 1,145 outputs
Outputs of similar age
#201,783
of 314,247 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#16
of 32 outputs
Altmetric has tracked 24,077,652 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,145 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,247 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.