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Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex

Overview of attention for article published in BMC Ecology and Evolution, April 2014
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Title
Distinguishing migration from isolation using genes with intragenic recombination: detecting introgression in the Drosophila simulans species complex
Published in
BMC Ecology and Evolution, April 2014
DOI 10.1186/1471-2148-14-89
Pubmed ID
Authors

Miguel Navascués, Delphine Legrand, Cécile Campagne, Marie-Louise Cariou, Frantz Depaulis

Abstract

Determining the presence or absence of gene flow between populations is the target of some statistical methods in population genetics. Until recently, these methods either avoided the use of recombining genes, or treated recombination as a nuisance parameter. However, genes with recombination contribute additional information for the detection of gene flow (i.e. through linkage disequilibrium).

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 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 6%
Portugal 1 3%
Switzerland 1 3%
Australia 1 3%
Greece 1 3%
United States 1 3%
Unknown 29 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 42%
Student > Ph. D. Student 7 19%
Student > Bachelor 4 11%
Professor 3 8%
Other 1 3%
Other 3 8%
Unknown 3 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 64%
Biochemistry, Genetics and Molecular Biology 6 17%
Unspecified 2 6%
Environmental Science 1 3%
Neuroscience 1 3%
Other 0 0%
Unknown 3 8%
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 24 April 2014.
All research outputs
#22,759,802
of 25,374,647 outputs
Outputs from BMC Ecology and Evolution
#3,511
of 3,714 outputs
Outputs of similar age
#209,562
of 241,718 outputs
Outputs of similar age from BMC Ecology and Evolution
#70
of 75 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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 is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 241,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.