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Fine-scale genetic structure analyses suggest further male than female dispersal in mountain gorillas

Overview of attention for article published in BMC Ecology and Evolution, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

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Title
Fine-scale genetic structure analyses suggest further male than female dispersal in mountain gorillas
Published in
BMC Ecology and Evolution, July 2014
DOI 10.1186/1472-6785-14-21
Pubmed ID
Authors

Justin Roy, Maryke Gray, Tara Stoinski, Martha M Robbins, Linda Vigilant

Abstract

Molecular studies in social mammals rarely compare the inferences gained from genetic analyses with field information, especially in the context of dispersal. In this study, we used genetic data to elucidate sex-specific dispersal dynamics in the Virunga Massif mountain gorilla population (Gorilla beringei beringei), a primate species characterized by routine male and female dispersal from stable mixed-sex social groups. Specifically, we conducted spatial genetic structure analyses for each sex and linked our genetically-based observations with some key demographic and behavioural data from this population.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 <1%
Germany 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Brazil 1 <1%
Canada 1 <1%
Spain 1 <1%
United States 1 <1%
Unknown 100 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 33%
Researcher 17 16%
Student > Master 13 12%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 13 12%
Unknown 10 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 57 53%
Environmental Science 15 14%
Biochemistry, Genetics and Molecular Biology 13 12%
Arts and Humanities 2 2%
Social Sciences 2 2%
Other 5 5%
Unknown 14 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 10 July 2014.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#1,997
of 3,714 outputs
Outputs of similar age
#79,369
of 240,374 outputs
Outputs of similar age from BMC Ecology and Evolution
#29
of 63 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 35th percentile – i.e., 35% 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 240,374 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 53% of its contemporaries.
We're also able to compare this research output to 63 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 52% of its contemporaries.