↓ Skip to main content

Development and feasibility of a mobile experience sampling application for tracking program implementation in youth well-being programs

Overview of attention for article published in Psychology of Well-Being: Theory, Research and Practice, January 2016
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

twitter
3 X users
facebook
1 Facebook page

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
37 Mendeley
Title
Development and feasibility of a mobile experience sampling application for tracking program implementation in youth well-being programs
Published in
Psychology of Well-Being: Theory, Research and Practice, January 2016
DOI 10.1186/s13612-016-0038-2
Pubmed ID
Authors

TanChyuan Chin, Nikki S. Rickard, Dianne A. Vella-Brodrick

Abstract

Well-being program evaluations mostly focus on identifying effective outcomes rather than measuring the actual extent to which program participants may apply learned skills in subsequent everyday lives. This study examined the feasibility of using a newly developed mobile experience sampling app called Wuzzup to study program implementation in young people participating in well-being programs. Ninety-six participants (60 females; 36 males) between the ages of 13 and 15 years (M = 13.87, SD = 0.71) were recruited to respond to two random prompts each day, for 7 days, at each of the three data collection time-points. Responses from 69 participants (72 % of initial sample) that met study criteria were retained for analysis. The average response rate was 92.89 %, with an average of 85.92 s to complete each ESM survey. Significant associations between first and second halves of the ESM week, and their respective positive affect and negative affect survey responses, demonstrate internal reliability and construct validity of the Wuzzup app to capture momentary affect and activation states of young people. This study also demonstrated the feasibility and practical utility of the Wuzzup app to profile and track an individual's learning over time.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 19%
Student > Bachelor 6 16%
Researcher 6 16%
Student > Master 4 11%
Student > Doctoral Student 1 3%
Other 4 11%
Unknown 9 24%
Readers by discipline Count As %
Psychology 13 35%
Social Sciences 5 14%
Computer Science 3 8%
Business, Management and Accounting 2 5%
Linguistics 1 3%
Other 4 11%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 23 July 2016.
All research outputs
#14,551,340
of 25,394,764 outputs
Outputs from Psychology of Well-Being: Theory, Research and Practice
#35
of 44 outputs
Outputs of similar age
#193,298
of 403,457 outputs
Outputs of similar age from Psychology of Well-Being: Theory, Research and Practice
#2
of 2 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 44 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.7. This one scored the same or higher as 9 of them.
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 403,457 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 51% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.