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A Mathematical Modeling Approach to Uncover Factors Influencing the Spread of Campylobacter in a Flock of Broiler-Breeder Chickens

Overview of attention for article published in Frontiers in Microbiology, October 2020
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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 (70th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

twitter
8 X users

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
24 Mendeley
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Title
A Mathematical Modeling Approach to Uncover Factors Influencing the Spread of Campylobacter in a Flock of Broiler-Breeder Chickens
Published in
Frontiers in Microbiology, October 2020
DOI 10.3389/fmicb.2020.576646
Pubmed ID
Authors

Thomas Rawson, Robert Stephen Paton, Frances M. Colles, Martin C. J. Maiden, Marian Stamp Dawkins, Michael B. Bonsall

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 25%
Lecturer 3 13%
Student > Ph. D. Student 3 13%
Student > Bachelor 2 8%
Student > Master 1 4%
Other 3 13%
Unknown 6 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Immunology and Microbiology 4 17%
Agricultural and Biological Sciences 3 13%
Veterinary Science and Veterinary Medicine 1 4%
Mathematics 1 4%
Other 3 13%
Unknown 7 29%
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 08 March 2022.
All research outputs
#6,261,941
of 25,537,395 outputs
Outputs from Frontiers in Microbiology
#5,520
of 29,509 outputs
Outputs of similar age
#128,524
of 440,693 outputs
Outputs of similar age from Frontiers in Microbiology
#178
of 914 outputs
Altmetric has tracked 25,537,395 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 29,509 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done well, scoring higher than 81% 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 440,693 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 70% of its contemporaries.
We're also able to compare this research output to 914 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.