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Age-dependent patterns of bovine tuberculosis in cattle

Overview of attention for article published in Veterinary Research, January 2013
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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 (65th percentile)

Mentioned by

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7 tweeters
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3 Facebook pages
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1 Google+ user

Citations

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51 Dimensions

Readers on

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99 Mendeley
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Title
Age-dependent patterns of bovine tuberculosis in cattle
Published in
Veterinary Research, January 2013
DOI 10.1186/1297-9716-44-97
Pubmed ID
Authors

Ellen Brooks-Pollock, Andrew JK Conlan, Andy P Mitchell, Ruth Blackwell, Trevelyan J McKinley, James LN Wood

Abstract

Bovine tuberculosis (BTB) is an important livestock disease, seriously impacting cattle industries in both industrialised and pre-industrialised countries. Like TB in other mammals, infection is life long and, if undiagnosed, may progress to disease years after exposure. The risk of disease in humans is highly age-dependent, however in cattle, age-dependent risks have yet to be quantified, largely due to insufficient data and limited diagnostics. Here, we estimate age-specific reactor rates in Great Britain by combining herd-level testing data with spatial movement data from the Cattle Tracing System (CTS). Using a catalytic model, we find strong age dependencies in infection risk and that the probability of detecting infection increases with age. Between 2004 and 2009, infection incidence in cattle fluctuated around 1%. Age-specific incidence increased monotonically until 24-36 months, with cattle aged between 12 and 36 months experiencing the highest rates of infection. Beef and dairy cattle under 24 months experienced similar infection risks, however major differences occurred in older ages. The average reproductive number in cattle was greater than 1 for the years 2004-2009. These methods reveal a consistent pattern of BTB rates with age, across different population structures and testing patterns. The results provide practical insights into BTB epidemiology and control, suggesting that targeting a mass control programme at cattle between 12 and 36 months could be beneficial.

Twitter Demographics

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters 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 99 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 5 5%
United States 1 1%
Denmark 1 1%
Unknown 92 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 24%
Student > Ph. D. Student 18 18%
Student > Postgraduate 7 7%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 23 23%
Unknown 17 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 30%
Veterinary Science and Veterinary Medicine 21 21%
Medicine and Dentistry 9 9%
Mathematics 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Other 8 8%
Unknown 20 20%
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 04 March 2015.
All research outputs
#5,447,196
of 22,727,570 outputs
Outputs from Veterinary Research
#250
of 1,198 outputs
Outputs of similar age
#48,481
of 210,770 outputs
Outputs of similar age from Veterinary Research
#7
of 20 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,198 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 79% 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 210,770 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 20 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 65% of its contemporaries.