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Evolutionary Systems Biology

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

Table of Contents

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    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.
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    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.
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    Chapter 19 Building Synthetic Systems to Learn Nature's Design Principles.
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    Chapter 20 The robustness continuum.
Attention for Chapter 1: Evolutionary Systems Biology: Historical and Philosophical Perspectives on an Emerging Synthesis
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
2 blogs
twitter
1 tweeter
facebook
1 Facebook page
video
1 video uploader

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
30 Mendeley
citeulike
1 CiteULike
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Chapter title
Evolutionary Systems Biology: Historical and Philosophical Perspectives on an Emerging Synthesis
Chapter number 1
Book title
Evolutionary Systems Biology
Published in
Advances in experimental medicine and biology, June 2012
DOI 10.1007/978-1-4614-3567-9_1
Pubmed ID
Book ISBNs
978-1-4614-3566-2, 978-1-4614-3567-9
Authors

Maureen A. O’Malley, O’Malley, Maureen A.

Editors

Orkun S. Soyer

Abstract

Systems biology (SB) is at least a decade old now and maturing rapidly. A more recent field, evolutionary systems biology (ESB), is in the process of further developing system-level approaches through the expansion of their explanatory and potentially predictive scope. This chapter will outline the varieties of ESB existing today by tracing the diverse roots and fusions that make up this integrative project. My approach is philosophical and historical. As well as examining the recent origins of ESB, I will reflect on its central features and the different clusters of research it comprises. In its broadest interpretation, ESB consists of five overlapping approaches: comparative and correlational ESB; network architecture ESB; network property ESB; population genetics ESB; and finally, standard evolutionary questions answered with SB methods. After outlining each approach with examples, I will examine some strong general claims about ESB, particularly that it can be viewed as the next step toward a fuller modern synthesis of evolutionary biology (EB), and that it is also the way forward for evolutionary and systems medicine. I will conclude with a discussion of whether the emerging field of ESB has the capacity to combine an even broader scope of research aims and efforts than it presently does.

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 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 7%
Slovenia 1 3%
Unknown 27 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 27%
Student > Ph. D. Student 7 23%
Student > Master 6 20%
Professor 3 10%
Student > Bachelor 2 7%
Other 2 7%
Unknown 2 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 33%
Biochemistry, Genetics and Molecular Biology 5 17%
Computer Science 3 10%
Medicine and Dentistry 2 7%
Social Sciences 2 7%
Other 5 17%
Unknown 3 10%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 08 October 2018.
All research outputs
#1,189,756
of 16,298,341 outputs
Outputs from Advances in experimental medicine and biology
#149
of 3,723 outputs
Outputs of similar age
#8,674
of 129,398 outputs
Outputs of similar age from Advances in experimental medicine and biology
#2
of 24 outputs
Altmetric has tracked 16,298,341 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,723 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done particularly well, scoring higher than 95% 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 129,398 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.