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Short‐term variations in gene flow related to cyclic density fluctuations in the common vole

Overview of attention for article published in Molecular Ecology, June 2014
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

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Article details
Title
Short‐term variations in gene flow related to cyclic density fluctuations in the common vole
Published in
Molecular Ecology, June 2014
DOI 10.1111/mec.12818
Pubmed ID
Authors
Abstract

In highly fluctuating populations with complex social systems, genetic patterns are likely to vary in space and time due to demographic and behavioural processes. Cyclic rodents are extreme examples of demographically instable populations that often exhibit strong social organization. In such populations, kin structure and spacing behaviour may vary with density fluctuations and impact both the composition and spatial structure of genetic diversity. In this study, we analysed the multiannual genetic structure of a cyclic rodent, Microtus arvalis, using a sample of 875 individuals trapped over three complete cycles (from 1999 to 2007) and genotyped at 10 microsatellite loci. We tested the predictions that genetic diversity and gene flow intensity vary with density fluctuations. We found evidences for both spatial scale-dependant variations in genetic diversity and higher gene flow during high density. Moreover, investigation of sex-specific relatedness patterns revealed that, although dispersal is biased toward males in this species, distances moved by both sexes were lengthened during high density. Altogether, these results suggest that an increase in migration with density allows to restore the local loss of genetic diversity occurring during low density. We then postulate that this change in migration results from local competition, which enhances female colonization of empty spaces and male dispersal among colonies.

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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 demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Mexico 1 3%
France 1 3%
Germany 1 3%
Switzerland 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 11 28%
Student > Ph. D. Student 10 25%
Researcher 8 20%
Student > Doctoral Student 5 13%
Other 1 3%
Other 3 8%
Unknown 2 5%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 30 75%
Environmental Science 3 8%
Biochemistry, Genetics and Molecular Biology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Immunology and Microbiology 1 3%
Other 0 0%
Unknown 2 5%
Attention Score in Context

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 01 January 2016.
All research outputs
#8,244,102
of 26,245,199 outputs
Outputs from Molecular Ecology
#3,697
of 6,689 outputs
Outputs of similar age
#72,811
of 242,095 outputs
Outputs of similar age from Molecular Ecology
#37
of 89 outputs
Altmetric has tracked 26,245,199 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,689 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.1. This one is in the 42nd percentile – i.e., 42% 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 242,095 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 68% of its contemporaries.
We're also able to compare this research output to 89 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 56% of its contemporaries.