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The behaviour change wheel: A new method for characterising and designing behaviour change interventions

Overview of attention for article published in Implementation Science, April 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 1,651)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Citations

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4059 Dimensions

Readers on

mendeley
7085 Mendeley
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1 CiteULike
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Title
The behaviour change wheel: A new method for characterising and designing behaviour change interventions
Published in
Implementation Science, April 2011
DOI 10.1186/1748-5908-6-42
Pubmed ID
Authors

Susan Michie, Maartje M van Stralen, Robert West

Abstract

Improving the design and implementation of evidence-based practice depends on successful behaviour change interventions. This requires an appropriate method for characterising interventions and linking them to an analysis of the targeted behaviour. There exists a plethora of frameworks of behaviour change interventions, but it is not clear how well they serve this purpose. This paper evaluates these frameworks, and develops and evaluates a new framework aimed at overcoming their limitations.

Twitter Demographics

The data shown below were collected from the profiles of 637 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 7,085 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 58 <1%
United States 22 <1%
Canada 11 <1%
Australia 8 <1%
Netherlands 6 <1%
Malaysia 5 <1%
South Africa 4 <1%
Sweden 4 <1%
France 3 <1%
Other 27 <1%
Unknown 6937 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1488 21%
Student > Ph. D. Student 1076 15%
Researcher 932 13%
Student > Bachelor 841 12%
Other 337 5%
Other 1242 18%
Unknown 1169 16%
Readers by discipline Count As %
Medicine and Dentistry 1190 17%
Psychology 1028 15%
Nursing and Health Professions 758 11%
Social Sciences 735 10%
Computer Science 221 3%
Other 1659 23%
Unknown 1494 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 966. 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 18 January 2022.
All research outputs
#10,902
of 20,035,464 outputs
Outputs from Implementation Science
#1
of 1,651 outputs
Outputs of similar age
#31
of 240,241 outputs
Outputs of similar age from Implementation Science
#1
of 5 outputs
Altmetric has tracked 20,035,464 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,651 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 99% 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 240,241 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 99% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them