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Evolution of transcription factor function as a mechanism for changing metazoan developmental gene regulatory networks

Overview of attention for article published in EvoDevo, January 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 blog
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Citations

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75 Dimensions

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166 Mendeley
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Title
Evolution of transcription factor function as a mechanism for changing metazoan developmental gene regulatory networks
Published in
EvoDevo, January 2015
DOI 10.1186/2041-9139-6-3
Pubmed ID
Authors

Alys M Cheatle Jarvela, Veronica F Hinman

Abstract

The form that an animal takes during development is directed by gene regulatory networks (GRNs). Developmental GRNs interpret maternally deposited molecules and externally supplied signals to direct cell-fate decisions, which ultimately leads to the arrangements of organs and tissues in the organism. Genetically encoded modifications to these networks have generated the wide range of metazoan diversity that exists today. Most studies of GRN evolution focus on changes to cis-regulatory DNA, and it was historically theorized that changes to the transcription factors that bind to these cis-regulatory modules (CRMs) contribute to this process only rarely. A growing body of evidence suggests that changes to the coding regions of transcription factors play a much larger role in the evolution of developmental gene regulatory networks than originally imagined. Just as cis-regulatory changes make use of modular binding site composition and tissue-specific modules to avoid pleiotropy, transcription factor coding regions also predominantly evolve in ways that limit the context of functional effects. Here, we review the recent works that have led to this unexpected change in the field of Evolution and Development (Evo-Devo) and consider the implications these studies have had on our understanding of the evolution of developmental processes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
India 2 1%
France 1 <1%
Italy 1 <1%
Colombia 1 <1%
Brazil 1 <1%
Spain 1 <1%
Luxembourg 1 <1%
Unknown 154 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 31%
Researcher 27 16%
Student > Master 18 11%
Student > Bachelor 15 9%
Student > Doctoral Student 9 5%
Other 31 19%
Unknown 15 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 51%
Biochemistry, Genetics and Molecular Biology 47 28%
Immunology and Microbiology 2 1%
Environmental Science 2 1%
Neuroscience 2 1%
Other 10 6%
Unknown 18 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 10 October 2018.
All research outputs
#3,609,157
of 25,374,917 outputs
Outputs from EvoDevo
#96
of 332 outputs
Outputs of similar age
#49,530
of 361,623 outputs
Outputs of similar age from EvoDevo
#5
of 9 outputs
Altmetric has tracked 25,374,917 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 332 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 71% 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 361,623 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 86% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.