↓ Skip to main content

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

About this Attention Score

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
43 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Chapter title
The genotype-phenotype maps of systems biology and quantitative genetics: distinct and complementary.
Chapter number 17
Book title
Evolutionary Systems Biology
Published in
Advances in experimental medicine and biology, June 2012
DOI 10.1007/978-1-4614-3567-9_17
Pubmed ID
Book ISBNs
978-1-4614-3566-2, 978-1-4614-3567-9
Authors

Landry CR, Rifkin SA, Christian R. Landry, Scott A. Rifkin

Editors

Orkun S. Soyer

Abstract

The processes by which genetic variation in complex traits is generated and maintained in populations has for a long time been treated in abstract and statistical terms. As a consequence, quantitative genetics has provided limited insights into our understanding of the molecular bases of quantitative trait variation. With the developing technological and conceptual tools of systems biology, cellular and molecular processes are being described in greater detail. While we have a good description of how signaling and other molecular networks are organized in the cell, we still do not know how genetic variation affects these pathways, because systems and molecular biology usually ignore the type and extent of genetic variation found in natural populations. Here we discuss the quantitative genetics and systems biology approaches for the study of complex trait architecture and discuss why these two disciplines would synergize with each other to answer questions that neither of the two could answer alone.

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters 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 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 2%
Malaysia 1 2%
Austria 1 2%
Australia 1 2%
Slovenia 1 2%
United States 1 2%
Poland 1 2%
Unknown 36 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 37%
Researcher 10 23%
Student > Bachelor 4 9%
Professor 3 7%
Professor > Associate Professor 3 7%
Other 6 14%
Unknown 1 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 63%
Biochemistry, Genetics and Molecular Biology 6 14%
Engineering 4 9%
Computer Science 2 5%
Medicine and Dentistry 1 2%
Other 1 2%
Unknown 2 5%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 April 2013.
All research outputs
#4,236,103
of 16,110,746 outputs
Outputs from Advances in experimental medicine and biology
#591
of 3,689 outputs
Outputs of similar age
#32,443
of 132,880 outputs
Outputs of similar age from Advances in experimental medicine and biology
#6
of 21 outputs
Altmetric has tracked 16,110,746 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 3,689 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 well, scoring higher than 83% 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 132,880 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 75% of its contemporaries.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.