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With a little help from my friends: cooperation can accelerate the rate of adaptive valley crossing

Overview of attention for article published in BMC Ecology and Evolution, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (51st percentile)

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Title
With a little help from my friends: cooperation can accelerate the rate of adaptive valley crossing
Published in
BMC Ecology and Evolution, June 2017
DOI 10.1186/s12862-017-0983-2
Pubmed ID
Authors

Uri Obolski, Ohad Lewin-Epstein, Eran Even-Tov, Yoav Ram, Lilach Hadany

Abstract

Natural selection favors changes that lead to genotypes possessing high fitness. A conflict arises when several mutations are required for adaptation, but each mutation is separately deleterious. The process of a population evolving from a genotype encoding for a local fitness maximum to a higher fitness genotype is termed an adaptive peak shift. Here we suggest cooperative behavior as a factor that can facilitate adaptive peak shifts. We model cooperation in a public goods scenario, wherein each individual contributes resources that are later equally redistributed among all cooperating individuals. We use mathematical modeling and stochastic simulations to study the effect of cooperation on peak shifts in both panmictic and structured populations. Our results show that cooperation can substantially affect the rate of complex adaptation. Furthermore, we show that cooperation increases the population diversity throughout the peak shift process, thus increasing the robustness of the population to sudden environmental changes. We provide a new explanation to adaptive valley crossing in natural populations and suggest that the long term evolution of a species depends on its social behavior.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 36%
Student > Master 5 15%
Student > Bachelor 3 9%
Researcher 3 9%
Lecturer 2 6%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 39%
Biochemistry, Genetics and Molecular Biology 6 18%
Environmental Science 1 3%
Mathematics 1 3%
Chemical Engineering 1 3%
Other 4 12%
Unknown 7 21%
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 26 March 2020.
All research outputs
#4,590,757
of 25,382,440 outputs
Outputs from BMC Ecology and Evolution
#1,166
of 3,714 outputs
Outputs of similar age
#75,082
of 330,422 outputs
Outputs of similar age from BMC Ecology and Evolution
#33
of 68 outputs
Altmetric has tracked 25,382,440 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 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one has gotten more attention than average, scoring higher than 68% 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 330,422 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 77% of its contemporaries.
We're also able to compare this research output to 68 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 51% of its contemporaries.