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Innovative drugs, chemicals, and enzymes within the animal production chain

Overview of attention for article published in Veterinary Research, July 2018
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27 Dimensions

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87 Mendeley
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Title
Innovative drugs, chemicals, and enzymes within the animal production chain
Published in
Veterinary Research, July 2018
DOI 10.1186/s13567-018-0559-1
Pubmed ID
Authors

Yousef I. Hassan, Ludovic Lahaye, Max M. Gong, Jian Peng, Joshua Gong, Song Liu, Cyril G. Gay, Chengbo Yang

Abstract

The alarming number of recently reported human illnesses with bacterial infections resistant to multiple antibacterial agents has become a serious concern in recent years. This phenomenon is a core challenge for both the medical and animal health communities, since the use of antibiotics has formed the cornerstone of modern medicine for treating bacterial infections. The empirical benefits of using antibiotics to address animal health issues in animal agriculture (using therapeutic doses) and increasing the overall productivity of animals (using sub-therapeutic doses) are well established. The use of antibiotics to enhance profitability margins in the animal production industry is still practiced worldwide. Although many technical and economic reasons gave rise to these practices, the continued emergence of antimicrobial resistant bacteria is furthering the need to reduce the use of medically important antibiotics. This will require improving on-farm management and biosecurity practices, and the development of effective antibiotic alternatives that will reduce the dependence on antibiotics within the animal industry in the foreseeable future. A number of approaches are being closely scrutinized and optimized to achieve this goal, including the development of promising antibiotic alternatives to control bacterial virulence through quorum-sensing disruption, the use of synthetic polymers and nanoparticles, the exploitation of recombinant enzymes/proteins (such as glucose oxidases, alkaline phosphatases and proteases), and the use of phytochemicals. This review explores the most recent approaches within this context and provides a summary of practical mitigation strategies for the extensive use of antibiotics within the animal production chain in addition to several future challenges that need to be addressed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 87 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 17%
Student > Master 10 11%
Student > Bachelor 8 9%
Student > Ph. D. Student 7 8%
Student > Doctoral Student 6 7%
Other 12 14%
Unknown 29 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 15%
Veterinary Science and Veterinary Medicine 12 14%
Biochemistry, Genetics and Molecular Biology 11 13%
Medicine and Dentistry 4 5%
Engineering 4 5%
Other 12 14%
Unknown 31 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 August 2018.
All research outputs
#15,989,045
of 25,385,509 outputs
Outputs from Veterinary Research
#717
of 1,337 outputs
Outputs of similar age
#195,026
of 340,738 outputs
Outputs of similar age from Veterinary Research
#23
of 37 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,337 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 45th percentile – i.e., 45% 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 340,738 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.