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Evolutionary dynamics of copy number variation in pig genomes in the context of adaptation and domestication

Overview of attention for article published in BMC Genomics, July 2013
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

blogs
1 blog
twitter
1 X user
wikipedia
1 Wikipedia page

Citations

dimensions_citation
115 Dimensions

Readers on

mendeley
132 Mendeley
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Title
Evolutionary dynamics of copy number variation in pig genomes in the context of adaptation and domestication
Published in
BMC Genomics, July 2013
DOI 10.1186/1471-2164-14-449
Pubmed ID
Authors

Yogesh Paudel, Ole Madsen, Hendrik-Jan Megens, Laurent AF Frantz, Mirte Bosse, John WM Bastiaansen, Richard PMA Crooijmans, Martien AM Groenen

Abstract

Copy number variable regions (CNVRs) can result in drastic phenotypic differences and may therefore be subject to selection during domestication. Studying copy number variation in relation to domestication is highly relevant in pigs because of their very rich natural and domestication history that resulted in many different phenotypes. To investigate the evolutionary dynamic of CNVRs, we applied read depth method on next generation sequence data from 16 individuals, comprising wild boars and domestic pigs from Europe and Asia.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 2%
Hungary 1 <1%
Switzerland 1 <1%
Brazil 1 <1%
United Kingdom 1 <1%
United States 1 <1%
Unknown 125 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 27%
Student > Ph. D. Student 30 23%
Student > Master 12 9%
Student > Bachelor 9 7%
Student > Postgraduate 8 6%
Other 18 14%
Unknown 20 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 77 58%
Biochemistry, Genetics and Molecular Biology 16 12%
Veterinary Science and Veterinary Medicine 3 2%
Computer Science 3 2%
Medicine and Dentistry 2 2%
Other 6 5%
Unknown 25 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 21 August 2013.
All research outputs
#3,274,399
of 25,374,647 outputs
Outputs from BMC Genomics
#1,091
of 11,244 outputs
Outputs of similar age
#26,978
of 206,624 outputs
Outputs of similar age from BMC Genomics
#30
of 188 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,244 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 90% 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 206,624 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 188 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.