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Game playbooks: tools to guide multidisciplinary teams in developing videogame-based behavior change interventions

Overview of attention for article published in Translational Behavioral Medicine, February 2014
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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 (83rd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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11 X users
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1 Facebook page

Citations

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37 Dimensions

Readers on

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58 Mendeley
Title
Game playbooks: tools to guide multidisciplinary teams in developing videogame-based behavior change interventions
Published in
Translational Behavioral Medicine, February 2014
DOI 10.1007/s13142-013-0246-8
Pubmed ID
Authors

Lindsay R Duncan, Kimberly D Hieftje, Sabrina Culyba, Lynn E Fiellin

Abstract

As mobile technologies and videogaming platforms are becoming increasingly prevalent in the realm of health and healthcare, so are the opportunities to use these resources to conduct behavioral interventions. The creation and empirical testing of game style interventions, however, is challenged by the requisite collaboration of multidisciplinary teams, including researchers and game developers who have different cultures, terminologies, and standards of evidence. Thus, traditional intervention development tools such as logic models and intervention manuals may need to be augmented by creating what we have termed "Game Playbooks" which are intervention guidebooks that are created by, understood by, and acceptable to all members of the multidisciplinary game development team. The purpose of this paper is to describe the importance and content of a Game Playbook created to aide in the development of a videogame intervention designed specifically for health behavior change in young teens as well as the process for creating such a tool. We draw on the experience of our research and game design team to describe the critical components of the Game Playbook and the necessity of creating such a tool.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 7%
Germany 1 2%
Austria 1 2%
Brazil 1 2%
Unknown 51 88%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 24%
Student > Ph. D. Student 11 19%
Researcher 7 12%
Student > Doctoral Student 6 10%
Student > Bachelor 4 7%
Other 8 14%
Unknown 8 14%
Readers by discipline Count As %
Psychology 10 17%
Social Sciences 7 12%
Computer Science 7 12%
Design 6 10%
Medicine and Dentistry 6 10%
Other 12 21%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 10 January 2020.
All research outputs
#4,093,927
of 22,743,667 outputs
Outputs from Translational Behavioral Medicine
#266
of 989 outputs
Outputs of similar age
#49,907
of 307,189 outputs
Outputs of similar age from Translational Behavioral Medicine
#2
of 14 outputs
Altmetric has tracked 22,743,667 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 989 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has gotten more attention than average, scoring higher than 73% 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 307,189 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.