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Unpacking factors influencing antimicrobial use in global aquaculture and their implication for management: a review from a systems perspective

Overview of attention for article published in Sustainability Science, November 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 959)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
policy
1 policy source
twitter
31 X users
facebook
1 Facebook page

Citations

dimensions_citation
169 Dimensions

Readers on

mendeley
387 Mendeley
Title
Unpacking factors influencing antimicrobial use in global aquaculture and their implication for management: a review from a systems perspective
Published in
Sustainability Science, November 2017
DOI 10.1007/s11625-017-0511-8
Pubmed ID
Authors

Patrik J. G. Henriksson, Andreu Rico, Max Troell, Dane H. Klinger, Alejandro H. Buschmann, Sonja Saksida, Mohan V. Chadag, Wenbo Zhang

Abstract

Global seafood provides almost 20% of all animal protein in diets, and aquaculture is, despite weakening trends, the fastest growing food sector worldwide. Recent increases in production have largely been achieved through intensification of existing farming systems, resulting in higher risks of disease outbreaks. This has led to increased use of antimicrobials (AMs) and consequent antimicrobial resistance (AMR) in many farming sectors, which may compromise the treatment of bacterial infections in the aquaculture species itself and increase the risks of AMR in humans through zoonotic diseases or through the transfer of AMR genes to human bacteria. Multiple stakeholders have, as a result, criticized the aquaculture industry, resulting in consequent regulations in some countries. AM use in aquaculture differs from that in livestock farming due to aquaculture's greater diversity of species and farming systems, alternative means of AM application, and less consolidated farming practices in many regions. This, together with less research on AM use in aquaculture in general, suggests that large data gaps persist with regards to its overall use, breakdowns by species and system, and how AMs become distributed in, and impact on, the overall social-ecological systems in which they are embedded. This paper identifies the main factors (and challenges) behind application rates, which enables discussion of mitigation pathways. From a set of identified key mechanisms for AM usage, six proximate factors are identified: vulnerability to bacterial disease, AM access, disease diagnostic capacity, AMR, target markets and food safety regulations, and certification. Building upon these can enable local governments to reduce AM use through farmer training, spatial planning, assistance with disease identification, and stricter regulations. National governments and international organizations could, in turn, assist with disease-free juveniles and vaccines, enforce rigid monitoring of the quantity and quality of AMs used by farmers and the AM residues in the farmed species and in the environment, and promote measures to reduce potential human health risks associated with AMR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 387 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 387 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 66 17%
Student > Master 43 11%
Student > Ph. D. Student 41 11%
Student > Bachelor 29 7%
Student > Doctoral Student 21 5%
Other 66 17%
Unknown 121 31%
Readers by discipline Count As %
Agricultural and Biological Sciences 71 18%
Environmental Science 33 9%
Veterinary Science and Veterinary Medicine 28 7%
Biochemistry, Genetics and Molecular Biology 21 5%
Social Sciences 15 4%
Other 74 19%
Unknown 145 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 03 March 2024.
All research outputs
#485,944
of 25,837,817 outputs
Outputs from Sustainability Science
#26
of 959 outputs
Outputs of similar age
#10,807
of 449,420 outputs
Outputs of similar age from Sustainability Science
#1
of 25 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 959 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done particularly well, scoring higher than 96% 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 449,420 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.