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Estimation of Physical Activity Levels Using Cell Phone Questionnaires: A Comparison With Accelerometry for Evaluation of Between-Subject and Within-Subject Variations

Overview of attention for article published in Journal of Medical Internet Research, September 2011
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Title
Estimation of Physical Activity Levels Using Cell Phone Questionnaires: A Comparison With Accelerometry for Evaluation of Between-Subject and Within-Subject Variations
Published in
Journal of Medical Internet Research, September 2011
DOI 10.2196/jmir.1686
Pubmed ID
Authors

Christin Bexelius, Sven Sandin, Ylva Trolle Lagerros, Jan-Eric Litton, Marie Löf

Abstract

Physical activity promotes health and longevity. Further elaboration of the role of physical activity for human health in epidemiological studies on large samples requires accurate methods that are easy to use, cheap, and possible to repeat. The use of telecommunication technologies such as cell phones is highly interesting in this respect. In an earlier report, we showed that physical activity level (PAL) assessed using a cell phone procedure agreed well with corresponding estimates obtained using the doubly labeled water method. However, our earlier study indicated high within-subject variation in relation to between-subject variations in PAL using cell phones, but we could not assess if this was a true variation of PAL or an artifact of the cell phone technique.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
New Zealand 1 1%
United States 1 1%
Unknown 68 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 14 19%
Student > Ph. D. Student 12 17%
Student > Doctoral Student 5 7%
Other 5 7%
Other 15 21%
Unknown 7 10%
Readers by discipline Count As %
Social Sciences 16 22%
Medicine and Dentistry 11 15%
Psychology 8 11%
Sports and Recreations 8 11%
Nursing and Health Professions 6 8%
Other 9 13%
Unknown 14 19%
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 29 March 2015.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Journal of Medical Internet Research
#7,773
of 7,867 outputs
Outputs of similar age
#131,188
of 142,190 outputs
Outputs of similar age from Journal of Medical Internet Research
#26
of 30 outputs
Altmetric has tracked 25,377,790 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 7,867 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 30 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.