Hall, J. A., Melendez, L. D., & Jewell, D. E. (2013). Using Gross Energy Improves Metabolizable Energy Predictive Equations for Pet Foods Whereas Undigested Protein and Fiber Content Predict Stool Quality. PLoS ONE, 8(1), 1. https://doi.org/10.1371/journal.pone.0054405
Chicago Style (17th ed.) CitationHall, Jean A., Lynda D. Melendez, and Dennis E. Jewell. "Using Gross Energy Improves Metabolizable Energy Predictive Equations for Pet Foods Whereas Undigested Protein and Fiber Content Predict Stool Quality." PLoS ONE 8, no. 1 (2013): 1. https://doi.org/10.1371/journal.pone.0054405.
MLA (9th ed.) CitationHall, Jean A., et al. "Using Gross Energy Improves Metabolizable Energy Predictive Equations for Pet Foods Whereas Undigested Protein and Fiber Content Predict Stool Quality." PLoS ONE, vol. 8, no. 1, 2013, p. 1, https://doi.org/10.1371/journal.pone.0054405.