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Detecting negative selection on recurrent mutations using gene genealogy

Overview of attention for article published in BMC Genetics, January 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

8 tweeters


3 Dimensions

Readers on

29 Mendeley
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Detecting negative selection on recurrent mutations using gene genealogy
Published in
BMC Genetics, January 2013
DOI 10.1186/1471-2156-14-37
Pubmed ID

Kiyoshi Ezawa, Giddy Landan, Dan Graur


Whether or not a mutant allele in a population is under selection is an important issue in population genetics, and various neutrality tests have been invented so far to detect selection. However, detection of negative selection has been notoriously difficult, partly because negatively selected alleles are usually rare in the population and have little impact on either population dynamics or the shape of the gene genealogy. Recently, through studies of genetic disorders and genome-wide analyses, many structural variations were shown to occur recurrently in the population. Such "recurrent mutations" might be revealed as deleterious by exploiting the signal of negative selection in the gene genealogy enhanced by their recurrence.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 17%
Student > Ph. D. Student 4 14%
Student > Postgraduate 4 14%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 2 7%
Unknown 10 34%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 34%
Biochemistry, Genetics and Molecular Biology 4 14%
Arts and Humanities 1 3%
Unspecified 1 3%
Physics and Astronomy 1 3%
Other 1 3%
Unknown 11 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 12 August 2013.
All research outputs
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Outputs from BMC Genetics
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Outputs of similar age
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Outputs of similar age from BMC Genetics
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Altmetric has tracked 21,346,872 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,054 research outputs from this source. They receive a mean Attention Score of 4.1. This one has done well, scoring higher than 78% 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 173,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them