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Dietary protein content alters energy expenditure and composition of the mass gain in grizzly bears (Ursus arctos horribilis).

Overview of attention for article published in Physiological & Biochemical Zoology, March 2003
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)

Mentioned by

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1 blog

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182 Mendeley
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Article details
Title
Dietary protein content alters energy expenditure and composition of the mass gain in grizzly bears (Ursus arctos horribilis).
Published in
Physiological & Biochemical Zoology, March 2003
DOI 10.1086/374279
Pubmed ID
Authors
Abstract

Many fruits contain high levels of available energy but very low levels of protein and other nutrients. The discrepancy between available energy and protein creates a physiological paradox for many animals consuming high-fruit diets, as they will be protein deficient if they eat to meet their minimum energy requirement. We fed young grizzly bears both high-energy pelleted and fruit diets containing from 1.6% to 15.4% protein to examine the role of diet-induced thermogenesis and fat synthesis in dealing with high-energy-low-protein diets. Digestible energy intake at mass maintenance increased 2.1 times, and composition of the gain changed from primarily lean mass to entirely fat when the protein content of the diet decreased from 15.4% to 1.6%. Daily fat gain was up to three times higher in bears fed low-protein diets ad lib., compared with bears consuming the higher-protein diet and gaining mass at the same rate. Thus, bears eating fruit can either consume other foods to increase dietary protein content and reduce energy expenditure, intake, and potentially foraging time or overeat high-fruit diets and use diet-induced thermogenesis and fat synthesis to deal with their skewed energy-to-protein ratio. These are not discrete options but a continuum that creates numerous solutions for balancing energy expenditure, intake, foraging time, fat accumulation, and ultimately fitness, depending on food availability, foraging efficiency, bear size, and body condition.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
India 3 2%
Brazil 3 2%
United States 2 1%
United Kingdom 2 1%
Czechia 2 1%
Canada 2 1%
Turkey 1 <1%
Japan 1 <1%
Iran, Islamic Republic of 1 <1%
Other 3 2%
Unknown 162 89%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 37 20%
Student > Ph. D. Student 35 19%
Student > Master 28 15%
Student > Bachelor 17 9%
Other 13 7%
Other 26 14%
Unknown 26 14%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 106 58%
Environmental Science 31 17%
Biochemistry, Genetics and Molecular Biology 4 2%
Earth and Planetary Sciences 4 2%
Veterinary Science and Veterinary Medicine 2 1%
Other 5 3%
Unknown 30 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 31 August 2020.
All research outputs
#9,609,254
of 34,410,315 outputs
Outputs from Physiological & Biochemical Zoology
#163
of 634 outputs
Outputs of similar age
#34,430
of 89,708 outputs
Outputs of similar age from Physiological & Biochemical Zoology
#2
of 4 outputs
Altmetric has tracked 34,410,315 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 634 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 70% of its peers.
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 89,708 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.