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Development of StopAdvisor

Overview of attention for article published in Translational Behavioral Medicine, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
1 policy source
twitter
5 X users
facebook
2 Facebook pages

Readers on

mendeley
89 Mendeley
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Article details
Title
Development of StopAdvisor
Published in
Translational Behavioral Medicine, May 2012
DOI 10.1007/s13142-012-0135-6
Pubmed ID
Authors
Abstract

Reviews of internet-based behaviour-change interventions have shown that they can be effective but there is considerable heterogeneity and effect sizes are generally small. In order to advance science and technology in this area, it is essential to be able to build on principles and evidence of behaviour change in an incremental manner. We report the development of an interactive smoking cessation website, StopAdvisor, designed to be attractive and effective across the social spectrum. It was informed by a broad motivational theory (PRIME), empirical evidence, web-design expertise, and user-testing. The intervention was developed using an open-source web-development platform, 'LifeGuide', designed to facilitate optimisation and collaboration. We identified 19 theoretical propositions, 33 evidence- or theory-based behaviour change techniques, 26 web-design principles and nine principles from user-testing. These were synthesised to create the website, 'StopAdvisor' (see http://www.lifeguideonline.org/player/play/stopadvisordemonstration). The systematic and transparent application of theory, evidence, web-design expertise and user-testing within an open-source development platform can provide a basis for multi-phase optimisation contributing to an 'incremental technology' of behaviour change.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 89 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 2 2%
United States 1 1%
Portugal 1 1%
Norway 1 1%
Germany 1 1%
Switzerland 1 1%
Unknown 82 92%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 18 20%
Researcher 16 18%
Student > Master 11 12%
Student > Bachelor 6 7%
Student > Doctoral Student 4 4%
Other 16 18%
Unknown 18 20%
Readers by discipline
Readers by discipline Count As %
Psychology 34 38%
Medicine and Dentistry 8 9%
Nursing and Health Professions 7 8%
Computer Science 6 7%
Social Sciences 5 6%
Other 9 10%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 09 April 2023.
All research outputs
#5,859,748
of 26,876,847 outputs
Outputs from Translational Behavioral Medicine
#367
of 1,084 outputs
Outputs of similar age
#37,148
of 181,219 outputs
Outputs of similar age from Translational Behavioral Medicine
#3
of 16 outputs
Altmetric has tracked 26,876,847 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,084 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has gotten more attention than average, scoring higher than 65% 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 181,219 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 76% of its contemporaries.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.