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Tempo and mode of performance evolution across multiple independent origins of adhesive toe pads in lizards

Overview of attention for article published in Evolution, September 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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6 news outlets
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1 Facebook page

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78 Mendeley
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Article details
Title
Tempo and mode of performance evolution across multiple independent origins of adhesive toe pads in lizards
Published in
Evolution, September 2017
DOI 10.1111/evo.13318
Pubmed ID
Authors
Abstract

Understanding macroevolutionary dynamics of trait evolution is an important endeavor in evolutionary biology. Ecological opportunity can liberate a trait as it diversifies through trait space, while genetic and selective constraints can limit diversification. While many studies have examined the dynamics of morphological traits, diverse morphological traits may yield the same or similar performance and as performance is often more proximately the target of selection, examining only morphology may give an incomplete understanding of evolutionary dynamics. Here we ask whether convergent evolution of pad-bearing lizards have followed similar evolutionary dynamics, or whether independent origins are accompanied by unique constraints and selective pressures over macroevolutionary time. We hypothesized that geckos and anoles each have unique evolutionary tempos and modes. Using performance data from 59 species, we modified Brownian Motion (BM) and Ornstein-Uhlenbeck (OU) models to account for repeated origins estimated using Bayesian ancestral state reconstructions. We discovered that adhesive performance in geckos evolved in a fashion consistent with Brownian Motion with a trend, whereas anoles evolved in bounded performance space consistent with more constrained evolution (an Ornstein-Uhlenbeck model). Our results suggest that convergent phenotypes can have quite distinctive evolutionary patterns, likely as a result of idiosyncratic constraints or ecological opportunities. This article is protected by copyright. All rights reserved.

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X Demographics

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 78 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 %
Unknown 78 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 17 22%
Researcher 14 18%
Student > Bachelor 11 14%
Student > Master 9 12%
Student > Doctoral Student 4 5%
Other 10 13%
Unknown 13 17%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 43 55%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 4 5%
Business, Management and Accounting 2 3%
Mathematics 1 1%
Other 6 8%
Unknown 16 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 44. 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 30 October 2017.
All research outputs
#1,031,396
of 27,470,210 outputs
Outputs from Evolution
#196
of 6,055 outputs
Outputs of similar age
#19,292
of 329,512 outputs
Outputs of similar age from Evolution
#2
of 65 outputs
Altmetric has tracked 27,470,210 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,055 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.8. This one has done particularly well, scoring higher than 96% 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 329,512 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 65 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.