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Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games?

Overview of attention for article published in Translational Behavioral Medicine, April 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (57th percentile)

Mentioned by

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19 X users

Citations

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138 Dimensions

Readers on

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312 Mendeley
Title
Mobile apps for pediatric obesity prevention and treatment, healthy eating, and physical activity promotion: just fun and games?
Published in
Translational Behavioral Medicine, April 2013
DOI 10.1007/s13142-013-0206-3
Pubmed ID
Authors

Danielle E. Schoffman, Gabrielle Turner-McGrievy, Sonya J. Jones, Sara Wilcox

Abstract

Mobile applications (apps) offer a novel way to engage children in behavior change, but little is known about content of commercially available apps for this population. We analyzed the content of apps for iPhone/iPad for pediatric weight loss, healthy eating (HE), and physical activity (PA). Fifty-seven apps were downloaded and tested by two independent raters. Apps were coded for: inclusion of the Expert Committee for Pediatric Obesity Prevention's (ECPOP) eight recommended strategies (e.g., set goals) and seven behavioral targets (e.g., do ≥1 h of PA per day), utilization of gaming elements, and general characteristics. Most apps lacked any expert recommendations (n = 35, 61.4 %). The mean number of recommendations among apps that used recommendations was 3.6 ± 2.7 out of 15, 56.1 % (n = 32) apps were classified as games, and mean price per app was $1.05 ± 1.66. Most apps reviewed lacked expert recommendations and could be strengthened by addition of comprehensive information about health behavior change and opportunities for goal setting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users 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 312 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Spain 3 <1%
Portugal 2 <1%
United Kingdom 2 <1%
Austria 1 <1%
Singapore 1 <1%
Australia 1 <1%
Bahamas 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 296 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 66 21%
Student > Bachelor 42 13%
Student > Ph. D. Student 41 13%
Researcher 29 9%
Student > Doctoral Student 19 6%
Other 64 21%
Unknown 51 16%
Readers by discipline Count As %
Medicine and Dentistry 58 19%
Nursing and Health Professions 44 14%
Computer Science 40 13%
Psychology 34 11%
Social Sciences 25 8%
Other 52 17%
Unknown 59 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 November 2019.
All research outputs
#2,420,129
of 24,518,979 outputs
Outputs from Translational Behavioral Medicine
#142
of 1,057 outputs
Outputs of similar age
#19,847
of 201,373 outputs
Outputs of similar age from Translational Behavioral Medicine
#4
of 7 outputs
Altmetric has tracked 24,518,979 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,057 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 86% 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 201,373 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 90% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.