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Measuring slope to improve energy expenditure estimates during field-based activities

Overview of attention for article published in Applied Physiology, Nutrition, and Metabolism, November 2012
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Article details
Title
Measuring slope to improve energy expenditure estimates during field-based activities
Published in
Applied Physiology, Nutrition, and Metabolism, November 2012
DOI 10.1139/apnm-2012-0223
Pubmed ID
Authors
Abstract

This technical note describes methods to improve activity energy expenditure estimates by using a multi-sensor board (MSB) to measure slope. Ten adults walked over a 4-km (2.5-mile) course wearing an MSB and mobile calorimeter. Energy expenditure was estimated using accelerometry alone (base) and 4 methods to measure slope. The barometer and global positioning system methods improved accuracy by 11% from the base (p < 0.05) to 86% overall. Measuring slope using the MSB improves energy expenditure estimates during field-based activities.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 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 %
United Kingdom 1 5%
Germany 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 5 23%
Other 4 18%
Student > Master 4 18%
Student > Postgraduate 2 9%
Librarian 1 5%
Other 2 9%
Unknown 4 18%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 5 23%
Psychology 4 18%
Social Sciences 3 14%
Computer Science 2 9%
Chemical Engineering 1 5%
Other 3 14%
Unknown 4 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 12 March 2013.
All research outputs
#24,768,086
of 27,520,826 outputs
Outputs from Applied Physiology, Nutrition, and Metabolism
#2,229
of 2,459 outputs
Outputs of similar age
#188,637
of 209,192 outputs
Outputs of similar age from Applied Physiology, Nutrition, and Metabolism
#44
of 60 outputs
Altmetric has tracked 27,520,826 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 209,192 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 60 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.