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Non-discriminatory Exclusion Testing as a Tool for the Early Detection of Foot-and-Mouth Disease Incursions

Overview of attention for article published in Frontiers in Veterinary Science, November 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 (75th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

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12 X users

Citations

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Readers on

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18 Mendeley
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Title
Non-discriminatory Exclusion Testing as a Tool for the Early Detection of Foot-and-Mouth Disease Incursions
Published in
Frontiers in Veterinary Science, November 2020
DOI 10.3389/fvets.2020.552670
Pubmed ID
Authors

Michael Eschbaumer, Andrea Vögtlin, David J. Paton, Jamie L. Barnabei, Manuel Jose Sanchez-Vazquez, Edviges Maristela Pituco, Alejandro Mauricio Rivera, Dwane O'Brien, Charles Nfon, Emiliana Brocchi, Labib Bakkali Kassimi, David J. Lefebvre, Roberto Navarro López, Eduardo Maradei, Sergio J. Duffy, Angelika Loitsch, Kris De Clercq, Donald P. King, Stéphan Zientara, Christian Griot, Martin Beer

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 17%
Student > Master 2 11%
Researcher 2 11%
Other 1 6%
Professor 1 6%
Other 3 17%
Unknown 6 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 22%
Agricultural and Biological Sciences 2 11%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Unspecified 1 6%
Immunology and Microbiology 1 6%
Other 1 6%
Unknown 8 44%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 29 March 2021.
All research outputs
#4,850,116
of 24,395,432 outputs
Outputs from Frontiers in Veterinary Science
#838
of 7,332 outputs
Outputs of similar age
#124,801
of 515,535 outputs
Outputs of similar age from Frontiers in Veterinary Science
#48
of 400 outputs
Altmetric has tracked 24,395,432 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,332 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has done well, scoring higher than 88% 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 515,535 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 75% of its contemporaries.
We're also able to compare this research output to 400 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.