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Evolution on the backbone: Apocynaceae phylogenomics and new perspectives on growth forms, flowers, and fruits

Overview of attention for article published in American Journal of Botany, May 2018
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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 (89th percentile)

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17 X users
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2 Wikipedia pages
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1 podcast

Readers on

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116 Mendeley
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Article details
Title
Evolution on the backbone: Apocynaceae phylogenomics and new perspectives on growth forms, flowers, and fruits
Published in
American Journal of Botany, May 2018
DOI 10.1002/ajb2.1067
Pubmed ID
Authors
Abstract

We provide the largest phylogenetic analyses to date of Apocynaceae in terms of taxa and molecular data as a framework for analyzing the evolution of vegetative and reproductive traits. We produced maximum-likelihood phylogenies of Apocynaceae using 21 plastid loci sampled from 1045 species (nearly 25% of the family) and complete plastomes from 73 species. We reconstructed ancestral states and used model comparisons in a likelihood framework to analyze character evolution across Apocynaceae. We obtained a well-supported phylogeny of Apocynaceae, resolving poorly understood tribal and subtribal relationships (e.g., among Amsonieae and Hunterieae, within Asclepiadeae), rejecting monophyly of Melodineae and Odontadenieae, and placing previously unsampled and enigmatic taxa (e.g., Pycnobotrya). We provide new insights into the evolution of Apocynaceae, including frequent shifts between herbaceousness and woodiness, reversibility of twining, integrated evolution of the corolla and gynostegium, and ancestral baccate fruits. Increased sampling and selection of best-fitting models of evolution provide more resolved and robust estimates of phylogeny and character evolution than obtained in previous studies. Evolutionary inferences are sensitive to choice of phylogenetic frameworks and models.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 17 X users 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 116 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 116 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 18 16%
Researcher 13 11%
Student > Bachelor 12 10%
Student > Doctoral Student 6 5%
Student > Ph. D. Student 6 5%
Other 22 19%
Unknown 39 34%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 46 40%
Biochemistry, Genetics and Molecular Biology 15 13%
Environmental Science 4 3%
Chemistry 3 3%
Unspecified 2 2%
Other 6 5%
Unknown 40 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 29 March 2026.
All research outputs
#2,049,221
of 31,916,488 outputs
Outputs from American Journal of Botany
#223
of 5,038 outputs
Outputs of similar age
#34,149
of 358,971 outputs
Outputs of similar age from American Journal of Botany
#7
of 64 outputs
Altmetric has tracked 31,916,488 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 5,038 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 95% 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 358,971 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 64 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.