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Measuring Energy Metabolism in the Mouse – Theoretical, Practical, and Analytical Considerations

Overview of attention for article published in Frontiers in Physiology, January 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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2 blogs
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13 X users

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215 Dimensions

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495 Mendeley
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Title
Measuring Energy Metabolism in the Mouse – Theoretical, Practical, and Analytical Considerations
Published in
Frontiers in Physiology, January 2013
DOI 10.3389/fphys.2013.00034
Pubmed ID
Authors

John R. Speakman

Abstract

The mouse is one of the most important model organisms for understanding human genetic function and disease. This includes characterization of the factors that influence energy expenditure and dysregulation of energy balance leading to obesity and its sequelae. Measuring energy metabolism in the mouse presents a challenge because the animals are small, and in this respect it presents similar challenges to measuring energy demands in many other species of small mammal. This paper considers some theoretical, practical, and analytical considerations to be considered when measuring energy expenditure in mice. Theoretically total daily energy expenditure is comprised of several different components: basal or resting expenditure, physical activity, thermoregulation, and the thermic effect of food. Energy expenditure in mice is normally measured using open flow indirect calorimetry apparatus. Two types of system are available - one of which involves a single small Spartan chamber linked to a single analyzer, which is ideal for measuring the individual components of energy demand. The other type of system involves a large chamber which mimics the home cage environment and is generally configured with several chambers/analyzer. These latter systems are ideal for measuring total daily energy expenditure but at present do not allow accurate decomposition of the total expenditure into its components. The greatest analytical challenge for mouse expenditure data is how to account for body size differences between individuals. This has been a matter of some discussion for at least 120 years. The statistically most appropriate approach is to use analysis of covariance with individual aspects of body composition as independent predictors.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 495 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 1%
United Kingdom 2 <1%
Spain 2 <1%
Korea, Republic of 1 <1%
Canada 1 <1%
Venezuela, Bolivarian Republic of 1 <1%
Belgium 1 <1%
Unknown 481 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 123 25%
Student > Bachelor 82 17%
Researcher 58 12%
Student > Master 46 9%
Student > Doctoral Student 23 5%
Other 58 12%
Unknown 105 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 139 28%
Biochemistry, Genetics and Molecular Biology 105 21%
Medicine and Dentistry 34 7%
Neuroscience 27 5%
Immunology and Microbiology 11 2%
Other 59 12%
Unknown 120 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 25 May 2024.
All research outputs
#2,002,975
of 26,183,699 outputs
Outputs from Frontiers in Physiology
#1,088
of 15,779 outputs
Outputs of similar age
#17,938
of 293,554 outputs
Outputs of similar age from Frontiers in Physiology
#32
of 399 outputs
Altmetric has tracked 26,183,699 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,779 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 93% 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 293,554 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.