The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Meat consumption, health, and the environment
Abstract
The future of meat: Meat consumption is rising annually as human populations grow and affluence increases. Godfray et al. review this trend, which has major negative consequences for land and water use and environmental change. Although meat is a concentrated source of nutrients for low-income families, it also enhances the risks of chronic ill health, such as from colorectal cancer and cardiovascular disease. Changing meat consumption habits is a challenge that requires identifying the complex social factors associated with meat eating and developing policies for effective interventions. Science , this issue p. eaam5324
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Cites
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Cited by
A global review of food-based dietary guidelines
Herforth, A., Arimond, M., Álvarez-Sánchez, C., Coates, J., Christianson, K., & Muehlhoff, E. (2019) · Advances in Nutrition · doi:10.1093/advances/nmy130 · Cited by 848
Plant-based and cell-based approaches to meat production
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Aligning artificial intelligence with climate change mitigation
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Metadata
- Authors
- Godfray, H. C. J., Aveyard, P., Garnett, T., Hall, J. W., Key, T. J., Lorimer, J., Pierrehumbert, R. T., Scarborough, P., Springmann, M., & Jebb, S. A.
- Venue
- Science
- Published
- 2018-07-20
- Volume
- 361
- Issue
- 6399
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2884775052
- Cited by
- 2,077
- References
- 19
- FWCI
- 98.32
- Type
- journal article
- Language
- en
- Open access
- closed
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- Godfray, H. C. J., Aveyard, P., Garnett, T., Hall, J. W., Key, T. J., Lorimer, J., Pierrehumbert, R. T., Scarborough, P., Springmann, M., & Jebb, S. A. (2018). Meat consumption, health, and the environment. Science. https://doi.org/10.1126/science.aam5324
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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.