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Population-epigenetic models of selection

Overview of attention for article published in Theoretical Population Biology, August 2011
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Readers on

mendeley
153 Mendeley
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1 CiteULike
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Article details
Title
Population-epigenetic models of selection
Published in
Theoretical Population Biology, August 2011
DOI 10.1016/j.tpb.2011.08.001
Pubmed ID
Authors
Abstract

There is increasing evidence that epigenetic modifications can be passed from one generation to the next. The population-level consequence of these discoveries, however, remains largely unexplored. In this paper, we introduce and analyze some simple models of constant viability selection acting on such heritable epigenetic variation. These "population-epigenetic" models are analogous to those of traditional population genetics, and are a preliminary step in quantifying the effect of non-genomic transgenerational inheritance, aiming to improve our understanding of how this sort of environmental response may affect evolution.

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

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

Mendeley demographics

The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Brazil 3 2%
United Kingdom 2 1%
France 2 1%
Switzerland 2 1%
United States 1 <1%
Slovenia 1 <1%
Mexico 1 <1%
Spain 1 <1%
Germany 1 <1%
Other 0 0%
Unknown 139 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 42 27%
Researcher 29 19%
Student > Master 19 12%
Student > Bachelor 12 8%
Professor 9 6%
Other 25 16%
Unknown 17 11%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 99 65%
Biochemistry, Genetics and Molecular Biology 13 8%
Environmental Science 4 3%
Mathematics 4 3%
Physics and Astronomy 3 2%
Other 12 8%
Unknown 18 12%
Attention Score in Context

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 12 July 2013.
All research outputs
#5,327,171
of 28,840,878 outputs
Outputs from Theoretical Population Biology
#91
of 691 outputs
Outputs of similar age
#26,638
of 141,438 outputs
Outputs of similar age from Theoretical Population Biology
#1
of 6 outputs
Altmetric has tracked 28,840,878 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 691 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 86% 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 141,438 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 80% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them