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A low-density SNP array for analyzing differential selection in freshwater and marine populations of threespine stickleback (Gasterosteus aculeatus)

Overview of attention for article published in BMC Genomics, October 2014
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Title
A low-density SNP array for analyzing differential selection in freshwater and marine populations of threespine stickleback (Gasterosteus aculeatus)
Published in
BMC Genomics, October 2014
DOI 10.1186/1471-2164-15-867
Pubmed ID
Authors

Anne-Laure Ferchaud, Susanne H Pedersen, Dorte Bekkevold, Jianbo Jian, Yongchao Niu, Michael M Hansen

Abstract

The threespine stickleback (Gasterosteus aculeatus) has become an important model species for studying both contemporary and parallel evolution. In particular, differential adaptation to freshwater and marine environments has led to high differentiation between freshwater and marine stickleback populations at the phenotypic trait of lateral plate morphology and the underlying candidate gene Ectodysplacin (EDA). Many studies have focused on this trait and candidate gene, although other genes involved in marine-freshwater adaptation may be equally important. In order to develop a resource for rapid and cost efficient analysis of genetic divergence between freshwater and marine sticklebacks, we generated a low-density SNP (Single Nucleotide Polymorphism) array encompassing markers of chromosome regions under putative directional selection, along with neutral markers for background.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Unknown 59 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 39%
Researcher 14 23%
Student > Master 7 11%
Student > Bachelor 5 8%
Student > Postgraduate 3 5%
Other 5 8%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 59%
Biochemistry, Genetics and Molecular Biology 14 23%
Environmental Science 3 5%
Business, Management and Accounting 1 2%
Arts and Humanities 1 2%
Other 2 3%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 06 October 2014.
All research outputs
#19,017,658
of 23,577,654 outputs
Outputs from BMC Genomics
#8,327
of 10,787 outputs
Outputs of similar age
#183,994
of 256,294 outputs
Outputs of similar age from BMC Genomics
#155
of 209 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,787 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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