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Testing the role of ecology and life history in structuring genetic variation across a landscape: a trait‐based phylogeographic approach

Overview of attention for article published in Molecular Ecology, June 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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

twitter
25 tweeters

Readers on

mendeley
115 Mendeley
citeulike
1 CiteULike
Title
Testing the role of ecology and life history in structuring genetic variation across a landscape: a trait‐based phylogeographic approach
Published in
Molecular Ecology, June 2015
DOI 10.1111/mec.13275
Pubmed ID
Authors

Paz, Andrea, Ibáñez, Roberto, Lips, Karen R., Crawford, Andrew J., Lips, Karen R, Crawford, Andrew J, Andrea Paz, Roberto Ibáñez, Karen R. Lips, Andrew J. Crawford

Abstract

Hypotheses to explain phylogeographic structure traditionally invoke geographic features, but often fail to provide a general explanation for spatial patterns of genetic variation. Organism's intrinsic characteristics might play more important roles than landscape features in determining phylogeographic structure. We developed a novel comparative approach to explore the role of ecological and life-history variables in determining spatial genetic variation and tested it on frog communities in Panama. We quantified spatial genetic variation within 31 anuran species based on mitochondrial DNA sequences, for which hierarchical approximate Bayesian computation analyses rejected simultaneous divergence over a common landscape. Regressing ecological variables on genetic divergence allowed us to test the importance of individual variables revealing that body size, current landscape resistance, geographic range, biogeographic origin, and reproductive mode were significant predictors of spatial genetic variation. Our results support the idea that phylogeographic structure represents the outcome of an interaction between organisms and environment, and suggest a conceptual integration we refer to as ecophylogeography. This article is protected by copyright. All rights reserved.

Twitter Demographics

The data shown below were collected from the profiles of 25 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 5%
Brazil 5 4%
Portugal 1 <1%
Chile 1 <1%
France 1 <1%
Denmark 1 <1%
Japan 1 <1%
Unknown 99 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 30%
Student > Master 19 17%
Researcher 18 16%
Student > Doctoral Student 12 10%
Student > Bachelor 11 10%
Other 20 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 95 83%
Environmental Science 7 6%
Unspecified 5 4%
Biochemistry, Genetics and Molecular Biology 5 4%
Earth and Planetary Sciences 2 2%
Other 1 <1%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 02 October 2015.
All research outputs
#489,441
of 7,346,950 outputs
Outputs from Molecular Ecology
#385
of 3,137 outputs
Outputs of similar age
#21,402
of 223,009 outputs
Outputs of similar age from Molecular Ecology
#21
of 128 outputs
Altmetric has tracked 7,346,950 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,137 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.5. This one has done well, scoring higher than 87% 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 223,009 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 90% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.