The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Treatment, promotion, commotion: antibiotic alternatives in food-producing animals
Open accessAbstract
Alternatives to antibiotics are urgently needed in animal agriculture. The form these alternatives should take presents a complex problem due to the various uses of antibiotics in animal agriculture, including disease treatment, disease prevention, and growth promotion, and to the relative contribution of these uses to the antibiotic resistance problem. Numerous antibiotic alternatives, such as pre- and probiotics, have been proposed but show variable success. This is because a fundamental understanding of how antibiotics improve feed efficiency is lacking, and because an individual alternative is unlikely to embody all of the performance-enhancing functions of antibiotics. High-throughput technologies need to be applied to better understand the problem, and informed combinations of alternatives, including vaccines, need to be considered.
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Cites
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Cited by
Antimicrobial resistance in humans, livestock and the wider environment
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Antibiotic use in food animals worldwide, with a focus on Africa: Pluses and minuses
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Metadata
- Authors
- Allen, H. K., Levine, U. Y., Looft, T., Bandrick, M., & Casey, T. A.
- Venue
- Trends in Microbiology
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 21
- Issue
- 3
- Pages
- 114-119
- ISSN
- 0966-842X (ISSN-L)
- OpenAlex
- W2066916220
- Cited by
- 320
- References
- 37
- FWCI
- 8.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Allen, H. K., Levine, U. Y., Looft, T., Bandrick, M., & Casey, T. A. (2013). Treatment, promotion, commotion: antibiotic alternatives in food-producing animals. Trends in Microbiology. https://doi.org/10.1016/j.tim.2012.11.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
