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Social structure and Escherichia coli sharing in a group-living wild primate, Verreaux’s sifaka

Overview of attention for article published in BMC Ecology and Evolution, February 2016
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

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11 X users
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1 Facebook page

Citations

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32 Dimensions

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109 Mendeley
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Title
Social structure and Escherichia coli sharing in a group-living wild primate, Verreaux’s sifaka
Published in
BMC Ecology and Evolution, February 2016
DOI 10.1186/s12898-016-0059-y
Pubmed ID
Authors

Andrea Springer, Alexander Mellmann, Claudia Fichtel, Peter M. Kappeler

Abstract

Epidemiological models often use information on host social contacts to predict the potential impact of infectious diseases on host populations and the efficiency of control measures. It can be difficult, however, to determine whether social contacts are actually meaningful predictors of transmission. We investigated the role of host social structure in the transmission of Escherichia coli in a wild population of primates, Verreaux's sifakas (Propithecus verreauxi). Using multilocus sequence typing (MLST), we compared genetic similarities between E. coli isolates from different individuals and groups to infer transmission pathways. Correlation of social and transmission networks revealed that membership to the same group significantly predicted sharing of E. coli MLST sequence types (ST). Intergroup encounter rate and a measure of space-use sharing provided equally potent explanations for type sharing between social groups when closely related STs were taken into account, whereas animal age, sex and dispersal history had no influence. No antibiotic resistance was found, suggesting low rates of E. coli spillover from humans into this arboreal species. We show that patterns of E. coli transmission reflect the social structure of this group-living lemur species. We discuss our results in the light of the species' ecology and propose scent-marking, a type of social contact not considered in previous epidemiological studies, as a likely route of transmission between groups. However, further studies are needed to explicitly test this hypothesis and to further elucidate the relative roles of direct contact and environmental transmission in pathogen transfer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
United Kingdom 1 <1%
Kenya 1 <1%
Unknown 105 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 25 23%
Student > Master 18 17%
Researcher 15 14%
Student > Bachelor 13 12%
Student > Doctoral Student 5 5%
Other 13 12%
Unknown 20 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 47%
Biochemistry, Genetics and Molecular Biology 7 6%
Immunology and Microbiology 5 5%
Veterinary Science and Veterinary Medicine 4 4%
Environmental Science 4 4%
Other 12 11%
Unknown 26 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 13 September 2016.
All research outputs
#6,212,618
of 25,374,917 outputs
Outputs from BMC Ecology and Evolution
#1,342
of 3,714 outputs
Outputs of similar age
#94,368
of 409,928 outputs
Outputs of similar age from BMC Ecology and Evolution
#22
of 69 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
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 has gotten more attention than average, scoring higher than 63% 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 409,928 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 76% of its contemporaries.
We're also able to compare this research output to 69 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 68% of its contemporaries.