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A Bayesian evolutionary model towards understanding wildlife contribution to F4-family Mycobacterium bovis transmission in the South-West of France

Overview of attention for article published in Veterinary Research, April 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
11 Mendeley
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Title
A Bayesian evolutionary model towards understanding wildlife contribution to F4-family Mycobacterium bovis transmission in the South-West of France
Published in
Veterinary Research, April 2022
DOI 10.1186/s13567-022-01044-x
Pubmed ID
Authors

Hélène Duault, Lorraine Michelet, Maria-Laura Boschiroli, Benoit Durand, Laetitia Canini

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 36%
Professor 1 9%
Student > Ph. D. Student 1 9%
Student > Doctoral Student 1 9%
Unknown 4 36%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 3 27%
Agricultural and Biological Sciences 3 27%
Immunology and Microbiology 1 9%
Unknown 4 36%
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 09 April 2022.
All research outputs
#8,270,333
of 25,392,582 outputs
Outputs from Veterinary Research
#405
of 1,338 outputs
Outputs of similar age
#161,684
of 447,174 outputs
Outputs of similar age from Veterinary Research
#4
of 15 outputs
Altmetric has tracked 25,392,582 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,338 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 68% 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 447,174 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 63% of its contemporaries.
We're also able to compare this research output to 15 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 66% of its contemporaries.