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Impact of Imperfect Disease Detection on the Identification of Risk Factors in Veterinary Epidemiology

Overview of attention for article published in Frontiers in Veterinary Science, March 2019
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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)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
11 X users

Citations

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7 Dimensions

Readers on

mendeley
33 Mendeley
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Title
Impact of Imperfect Disease Detection on the Identification of Risk Factors in Veterinary Epidemiology
Published in
Frontiers in Veterinary Science, March 2019
DOI 10.3389/fvets.2019.00066
Pubmed ID
Authors

Lisa Combelles, Fabien Corbiere, Didier Calavas, Anne Bronner, Viviane Hénaux, Timothée Vergne

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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Researcher 6 18%
Student > Ph. D. Student 5 15%
Lecturer 2 6%
Student > Doctoral Student 1 3%
Other 2 6%
Unknown 11 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 7 21%
Agricultural and Biological Sciences 7 21%
Medicine and Dentistry 3 9%
Earth and Planetary Sciences 2 6%
Decision Sciences 1 3%
Other 3 9%
Unknown 10 30%
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 01 May 2020.
All research outputs
#5,596,563
of 23,130,383 outputs
Outputs from Frontiers in Veterinary Science
#886
of 6,410 outputs
Outputs of similar age
#105,192
of 352,416 outputs
Outputs of similar age from Frontiers in Veterinary Science
#39
of 125 outputs
Altmetric has tracked 23,130,383 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 6,410 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 86% 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 352,416 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 125 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.