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A phylogenomic analysis of turtles

Overview of attention for article published in Molecular Phylogenetics & Evolution, November 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#25 of 4,848)
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
59 X users
facebook
20 Facebook pages
wikipedia
22 Wikipedia pages
video
1 YouTube creator

Citations

dimensions_citation
251 Dimensions

Readers on

mendeley
466 Mendeley
citeulike
1 CiteULike
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Title
A phylogenomic analysis of turtles
Published in
Molecular Phylogenetics & Evolution, November 2014
DOI 10.1016/j.ympev.2014.10.021
Pubmed ID
Authors

Nicholas G. Crawford, James F. Parham, Anna B. Sellas, Brant C. Faircloth, Travis C. Glenn, Theodore J. Papenfuss, James B. Henderson, Madison H. Hansen, W. Brian Simison

Abstract

Molecular analyses of turtle relationships have overturned prevailing morphological hypotheses and prompted the development of a new taxonomy. Here we provide the first genome-scale analysis of turtle phylogeny. We sequenced 2381 ultraconserved element (UCE) loci representing a total of 1,718,154bp of aligned sequence. Our sampling includes 32 turtle taxa representing all 14 recognized turtle families and an additional six outgroups. Maximum likelihood, Bayesian, and species tree methods produce a single resolved phylogeny. This robust phylogeny shows that proposed phylogenetic names correspond to well-supported clades, and this topology is more consistent with the temporal appearance of clades and paleobiogeography. Future studies of turtle phylogeny using fossil turtles should use this topology as a scaffold for their morphological phylogenetic analyses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 59 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 466 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Brazil 5 1%
United Kingdom 3 <1%
France 2 <1%
Italy 1 <1%
Germany 1 <1%
Chile 1 <1%
Sweden 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 442 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 101 22%
Student > Master 79 17%
Researcher 77 17%
Student > Bachelor 68 15%
Student > Doctoral Student 24 5%
Other 61 13%
Unknown 56 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 275 59%
Biochemistry, Genetics and Molecular Biology 41 9%
Earth and Planetary Sciences 34 7%
Environmental Science 26 6%
Veterinary Science and Veterinary Medicine 6 1%
Other 15 3%
Unknown 69 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 113. 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 19 April 2023.
All research outputs
#374,461
of 25,564,614 outputs
Outputs from Molecular Phylogenetics & Evolution
#25
of 4,848 outputs
Outputs of similar age
#3,858
of 276,255 outputs
Outputs of similar age from Molecular Phylogenetics & Evolution
#2
of 60 outputs
Altmetric has tracked 25,564,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,848 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one has done particularly well, scoring higher than 99% 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 276,255 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 98% of its contemporaries.
We're also able to compare this research output to 60 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 98% of its contemporaries.