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Diagnostic Accuracy and Optimal Use of Three Tests for Tuberculosis in Live Badgers

Overview of attention for article published in PLOS ONE, June 2010
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Title
Diagnostic Accuracy and Optimal Use of Three Tests for Tuberculosis in Live Badgers
Published in
PLOS ONE, June 2010
DOI 10.1371/journal.pone.0011196
Pubmed ID
Authors

Julian A. Drewe, Alexandra J. Tomlinson, Neil J. Walker, Richard J. Delahay

Abstract

Accurate diagnosis of tuberculosis (TB) due to infection with Mycobacterium bovis is notoriously difficult in live animals, yet important if we are to understand the epidemiology of TB and devise effective strategies to limit its spread. Currently available tests for diagnosing TB in live Eurasian badgers (Meles meles) remain unvalidated against a reliable gold standard. The aim of the present study was to evaluate the diagnostic accuracy and optimal use of three tests for TB in badgers in the absence of a gold standard.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 4%
Brazil 2 2%
Kenya 1 1%
United States 1 1%
Unknown 85 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 21 23%
Student > Ph. D. Student 20 22%
Student > Master 8 9%
Student > Doctoral Student 7 8%
Student > Postgraduate 6 6%
Other 19 20%
Unknown 12 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 39%
Veterinary Science and Veterinary Medicine 11 12%
Medicine and Dentistry 11 12%
Environmental Science 5 5%
Biochemistry, Genetics and Molecular Biology 4 4%
Other 9 10%
Unknown 17 18%
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 18 October 2019.
All research outputs
#7,755,290
of 23,577,761 outputs
Outputs from PLOS ONE
#95,602
of 202,084 outputs
Outputs of similar age
#34,108
of 95,474 outputs
Outputs of similar age from PLOS ONE
#388
of 723 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one is in the 48th percentile – i.e., 48% 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 95,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 723 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.