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Potential drivers of virulence evolution in aquaculture

Overview of attention for article published in Evolutionary Applications, January 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (56th percentile)

Mentioned by

news
1 news outlet
facebook
1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
81 Mendeley
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Title
Potential drivers of virulence evolution in aquaculture
Published in
Evolutionary Applications, January 2016
DOI 10.1111/eva.12342
Pubmed ID
Authors

David A. Kennedy, Gael Kurath, Ilana L. Brito, Maureen K. Purcell, Andrew F. Read, James R. Winton, Andrew R. Wargo

Abstract

Infectious diseases are economically detrimental to aquaculture, and with continued expansion and intensification of aquaculture, the importance of managing infectious diseases will likely increase in the future. Here, we use evolution of virulence theory, along with examples, to identify aquaculture practices that might lead to the evolution of increased pathogen virulence. We identify eight practices common in aquaculture that theory predicts may favor evolution toward higher pathogen virulence. Four are related to intensive aquaculture operations, and four others are related specifically to infectious disease control. Our intention is to make aquaculture managers aware of these risks, such that with increased vigilance, they might be able to detect and prevent the emergence and spread of increasingly troublesome pathogen strains in the future.

Mendeley readers

The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 1%
South Africa 1 1%
Norway 1 1%
United States 1 1%
Sweden 1 1%
Canada 1 1%
Unknown 75 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 23%
Student > Master 17 21%
Researcher 12 15%
Professor 6 7%
Unspecified 6 7%
Other 21 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 39 48%
Environmental Science 10 12%
Unspecified 9 11%
Veterinary Science and Veterinary Medicine 9 11%
Immunology and Microbiology 3 4%
Other 11 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 October 2017.
All research outputs
#1,912,096
of 12,518,737 outputs
Outputs from Evolutionary Applications
#313
of 787 outputs
Outputs of similar age
#52,483
of 268,259 outputs
Outputs of similar age from Evolutionary Applications
#7
of 16 outputs
Altmetric has tracked 12,518,737 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 787 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. This one has gotten more attention than average, scoring higher than 60% 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 268,259 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 80% of its contemporaries.
We're also able to compare this research output to 16 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 56% of its contemporaries.