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Evolutionary Systems Biology

Overview of attention for book
Cover of 'Evolutionary Systems Biology'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Evolutionary Systems Biology: Historical and Philosophical Perspectives on an Emerging Synthesis
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    Chapter 2 Metabolic networks and their evolution.
  4. Altmetric Badge
    Chapter 3 Evolutionary Systems Biology
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    Chapter 4 Evolution of regulatory networks: nematode vulva induction as an example of developmental systems drift.
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    Chapter 5 Life's Attractors : Understanding Developmental Systems Through Reverse Engineering and In Silico Evolution.
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    Chapter 6 Evolutionary characteristics of bacterial two-component systems.
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    Chapter 7 Comparative interaction networks: bridging genotype to phenotype.
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    Chapter 8 Evolution In Silico: From Network Structure to Bifurcation Theory
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    Chapter 9 On the search for design principles in biological systems.
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    Chapter 10 Toward a theory of multilevel evolution: long-term information integration shapes the mutational landscape and enhances evolvability.
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    Chapter 11 Evolutionary Principles Underlying Structure and Response Dynamics of Cellular Networks
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    Chapter 12 Phenotypic plasticity and robustness: evolutionary stability theory, gene expression dynamics model, and laboratory experiments.
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    Chapter 13 Genetic redundancies and their evolutionary maintenance.
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    Chapter 14 Evolution of Resource and Energy Management in Biologically Realistic Gene Regulatory Network Models
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    Chapter 15 Reverse ecology: from systems to environments and back.
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    Chapter 16 Bacteria-virus coevolution.
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    Chapter 17 The genotype-phenotype maps of systems biology and quantitative genetics: distinct and complementary.
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    Chapter 18 How evolutionary systems biology will help understand adaptive landscapes and distributions of mutational effects.
  20. Altmetric Badge
    Chapter 19 Building Synthetic Systems to Learn Nature's Design Principles.
  21. Altmetric Badge
    Chapter 20 The robustness continuum.
Attention for Chapter 8: Evolution In Silico: From Network Structure to Bifurcation Theory
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
17 Mendeley
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Chapter title
Evolution In Silico: From Network Structure to Bifurcation Theory
Chapter number 8
Book title
Evolutionary Systems Biology
Published in
Advances in experimental medicine and biology, June 2012
DOI 10.1007/978-1-4614-3567-9_8
Pubmed ID
Book ISBNs
978-1-4614-3566-2, 978-1-4614-3567-9
Authors

Paul François

Editors

Orkun S. Soyer

Abstract

I describe an evolutionary procedure in silico that creates small gene networks performing basic tasks. I use it to evolve a wide range of models for very different biological functions: multistability, adaptive networks and entire developmental programmes like somitogenesis and Hox gene pattern. In silico evolution finds both known and original network designs, and can be used to make predictions on biological behaviours. This computation illustrates how complex traits can evolve in an incremental way, and suggests that dynamical systems theory could be used to get new insights towards a predictive evolutionary theory.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Slovenia 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 24%
Student > Ph. D. Student 3 18%
Professor 3 18%
Student > Bachelor 2 12%
Student > Doctoral Student 1 6%
Other 3 18%
Unknown 1 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 29%
Physics and Astronomy 3 18%
Computer Science 2 12%
Chemistry 2 12%
Biochemistry, Genetics and Molecular Biology 2 12%
Other 2 12%
Unknown 1 6%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 April 2015.
All research outputs
#1,392,739
of 9,633,164 outputs
Outputs from Advances in experimental medicine and biology
#261
of 2,896 outputs
Outputs of similar age
#14,407
of 101,263 outputs
Outputs of similar age from Advances in experimental medicine and biology
#5
of 25 outputs
Altmetric has tracked 9,633,164 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,896 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 91% of its peers.
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 101,263 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.