The DOI matches its Crossref record.
Further Developments in the Prediction of Metabolizable Energy (ME) in Pet Food
Overview
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Integrity signals
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Claims the paper makes
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In the citing paper
“For example, predictive equations have been designed to take into account the fiber portion of the food [12]–[14], or the amino acid and non-amino acid compounds in the crude protein fraction to better predict ME [11], [15].”
From Using Gross Energy Improves Metabolizable Energy Predictive Equations for Pet Foods Whereas Undigested Protein and Fiber Content Predict Stool Quality (2013) · cites this paper as [14]
Self-check
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Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 7
- Rubner, 1901, Der Energiewert der Kost des Menschen, Z. Biol, 42, 261
- Atwater, W. O. (1902) Principles of Nutrition and Nutritive Value of Food, Farmer’s Bulletin no. 142. U.S. Department of Agriculture, Washington, DC, 48 pp.
- Kendall, 1985, Methods of metabolisable energy estimation in cat foods, Feline Pract, 15, 38
- Kuhlmann, 1993, A simple method for estimating the metabolizable energy content of dry cat foods, Feline Pract, 21, 16
- Kienzle, 2001, Calculation of gross energy in pet foods: new data on heat of combustion and fibre analysis in a selection of foods for dogs and cats, J. Anim. Physiol. Anim. Nutr, 85, 148, 10.1046/j.1439-0396.2001.00311.x · doi:10.1046/j.1439-0396.2001.00311.x
- Kienzle, 1998, The development of an improved method of predicting the energy content in prepared dog and cat food, J. Anim. Physiol. Anim. Nutr, 79, 69, 10.1111/j.1439-0396.1998.tb00630.x · doi:10.1111/j.1439-0396.1998.tb00630.x
- Kienzle, 2001, Effect of cellulose on the digestibility of high starch versus high fat diets in dogs, J. Anim. Physiol. Anim. Nutr, 6, 51
Cited by
Hall, J. A., Melendez, L. D., & Jewell, D. E. (2013) · PLoS ONE · doi:10.1371/journal.pone.0054405 · Cited by 92
Metadata
- Authors
- Kienzle, E.
- Venue
- The Journal of Nutrition
- Publisher
- Elsevier BV
- Published
- 2002-06
- Volume
- 132
- Issue
- 6
- Pages
- 1796S-1798S
- ISSN
- 0022-3166
- Cited by
- 18
- References
- 0
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 7559 d)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Further Developments in the Prediction of Metabolizable Energy (ME) in Pet Food. https://app.cochat.ai/papers/10.1093/jn/132.6.1796s
- The paper
- Kienzle, E. (2002). Further Developments in the Prediction of Metabolizable Energy (ME) in Pet Food. The Journal of Nutrition. https://doi.org/10.1093/jn/132.6.1796s
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.
