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Repeated evolution and the impact of evolutionary history on adaptation

Overview of attention for article published in BMC Ecology and Evolution, July 2015
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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 (82nd percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

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16 X users
reddit
1 Redditor

Citations

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65 Dimensions

Readers on

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146 Mendeley
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1 CiteULike
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Title
Repeated evolution and the impact of evolutionary history on adaptation
Published in
BMC Ecology and Evolution, July 2015
DOI 10.1186/s12862-015-0424-z
Pubmed ID
Authors

Terry J. Ord, Thomas C. Summers

Abstract

Whether natural selection can erase the imprint of past evolutionary history from phenotypes has been a topic of much debate. A key source of evidence that present-day selection can override historically contingent effects comes from the repeated evolution of similar adaptations in different taxa. Yet classic examples of repeated evolution are often among closely related taxa, suggesting the likelihood that similar adaptations evolve is contingent on the length of time separating taxa. To resolve this, we performed a meta-analysis of published reports of repeated evolution. Overall, repeated evolution was far more likely to be documented among closely related than distantly related taxa. However, not all forms of adaptation seemed to exhibit the same pattern. The evolution of similar behavior and physiology seemed frequent in distantly related and closely related taxa, while the repeated evolution of morphology was heavily skewed towards closely related taxa. Functionally redundant characteristics-alternative phenotypes that achieve the same functional outcome-also appeared less contingent. If the literature provides a reasonable reflection of the incidence of repeated evolution in nature, our findings suggest that natural selection can overcome contingent effects to an extent, but it depends heavily on the aspect of the phenotype targeted by selection.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 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 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 2 1%
Portugal 1 <1%
United Kingdom 1 <1%
Germany 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 139 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 31 21%
Student > Ph. D. Student 29 20%
Student > Master 13 9%
Student > Bachelor 12 8%
Student > Doctoral Student 10 7%
Other 31 21%
Unknown 20 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 56%
Biochemistry, Genetics and Molecular Biology 23 16%
Earth and Planetary Sciences 7 5%
Environmental Science 4 3%
Unspecified 2 1%
Other 5 3%
Unknown 23 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 25 September 2020.
All research outputs
#4,127,383
of 25,371,288 outputs
Outputs from BMC Ecology and Evolution
#1,026
of 3,714 outputs
Outputs of similar age
#48,895
of 277,308 outputs
Outputs of similar age from BMC Ecology and Evolution
#23
of 75 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd 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 72% 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 277,308 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 82% of its contemporaries.
We're also able to compare this research output to 75 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 69% of its contemporaries.