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Pacific Salmon and the Coalescent Effective Population Size

Overview of attention for article published in PLOS ONE, September 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

blogs
1 blog

Citations

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6 Dimensions

Readers on

mendeley
69 Mendeley
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Title
Pacific Salmon and the Coalescent Effective Population Size
Published in
PLOS ONE, September 2010
DOI 10.1371/journal.pone.0013019
Pubmed ID
Authors

Can Cenik, John Wakeley

Abstract

Pacific salmon include several species that are both commercially important and endangered. Understanding the causes of loss in genetic variation is essential for designing better conservation strategies. Here we use a coalescent approach to analyze a model of the complex life history of salmon, and derive the coalescent effective population (CES). With the aid of Kronecker products and a convergence theorem for Markov chains with two time scales, we derive a simple formula for the CES and thereby establish its existence. Our results may be used to address important questions regarding salmon biology, in particular about the loss of genetic variation. To illustrate the utility of our approach, we consider the effects of fluctuations in population size over time. Our analysis enables the application of several tools of coalescent theory to the case of salmon.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
Switzerland 1 1%
Brazil 1 1%
Austria 1 1%
United Kingdom 1 1%
Sweden 1 1%
Unknown 60 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 19%
Student > Master 11 16%
Student > Ph. D. Student 10 14%
Professor > Associate Professor 8 12%
Student > Postgraduate 5 7%
Other 15 22%
Unknown 7 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 68%
Biochemistry, Genetics and Molecular Biology 6 9%
Mathematics 6 9%
Environmental Science 2 3%
Business, Management and Accounting 1 1%
Other 1 1%
Unknown 6 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 28 September 2010.
All research outputs
#4,570,383
of 22,707,247 outputs
Outputs from PLOS ONE
#62,458
of 193,889 outputs
Outputs of similar age
#20,165
of 98,312 outputs
Outputs of similar age from PLOS ONE
#294
of 912 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 193,889 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 67% 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 98,312 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 79% of its contemporaries.
We're also able to compare this research output to 912 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.