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The evolutionary history of holometabolous insects inferred from transcriptome-based phylogeny and comprehensive morphological data

Overview of attention for article published in BMC Ecology and Evolution, March 2014
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

news
1 news outlet
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11 X users
wikipedia
9 Wikipedia pages
googleplus
1 Google+ user

Citations

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147 Dimensions

Readers on

mendeley
268 Mendeley
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Title
The evolutionary history of holometabolous insects inferred from transcriptome-based phylogeny and comprehensive morphological data
Published in
BMC Ecology and Evolution, March 2014
DOI 10.1186/1471-2148-14-52
Pubmed ID
Authors

Ralph S Peters, Karen Meusemann, Malte Petersen, Christoph Mayer, Jeanne Wilbrandt, Tanja Ziesmann, Alexander Donath, Karl M Kjer, Ulrike Aspöck, Horst Aspöck, Andre Aberer, Alexandros Stamatakis, Frank Friedrich, Frank Hünefeld, Oliver Niehuis, Rolf G Beutel, Bernhard Misof

Abstract

Despite considerable progress in systematics, a comprehensive scenario of the evolution of phenotypic characters in the mega-diverse Holometabola based on a solid phylogenetic hypothesis was still missing. We addressed this issue by de novo sequencing transcriptome libraries of representatives of all orders of holometabolan insects (13 species in total) and by using a previously published extensive morphological dataset. We tested competing phylogenetic hypotheses by analyzing various specifically designed sets of amino acid sequence data, using maximum likelihood (ML) based tree inference and Four-cluster Likelihood Mapping (FcLM). By maximum parsimony-based mapping of the morphological data on the phylogenetic relationships we traced evolutionary transformations at the phenotypic level and reconstructed the groundplan of Holometabola and of selected subgroups.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 268 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 1%
Canada 2 <1%
Netherlands 1 <1%
France 1 <1%
Switzerland 1 <1%
Australia 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
New Zealand 1 <1%
Other 4 1%
Unknown 252 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 56 21%
Student > Master 44 16%
Researcher 40 15%
Student > Bachelor 30 11%
Professor > Associate Professor 19 7%
Other 50 19%
Unknown 29 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 159 59%
Biochemistry, Genetics and Molecular Biology 45 17%
Veterinary Science and Veterinary Medicine 4 1%
Chemistry 4 1%
Unspecified 3 1%
Other 12 4%
Unknown 41 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 10 November 2023.
All research outputs
#1,793,273
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#428
of 3,714 outputs
Outputs of similar age
#17,719
of 237,012 outputs
Outputs of similar age from BMC Ecology and Evolution
#7
of 72 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% 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 done well, scoring higher than 88% 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 237,012 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 92% of its contemporaries.
We're also able to compare this research output to 72 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 90% of its contemporaries.