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Development of a framework and coding system for modifications and adaptations of evidence-based interventions

Overview of attention for article published in Implementation Science, June 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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
29 tweeters

Citations

dimensions_citation
387 Dimensions

Readers on

mendeley
426 Mendeley
citeulike
1 CiteULike
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Title
Development of a framework and coding system for modifications and adaptations of evidence-based interventions
Published in
Implementation Science, June 2013
DOI 10.1186/1748-5908-8-65
Pubmed ID
Authors

Shannon Wiltsey Stirman, Christopher J Miller, Katherine Toder, Amber Calloway

Abstract

Evidence-based interventions are frequently modified or adapted during the implementation process. Changes may be made to protocols to meet the needs of the target population or address differences between the context in which the intervention was originally designed and the one into which it is implemented [Addict Behav 2011, 36(6):630-635]. However, whether modification compromises or enhances the desired benefits of the intervention is not well understood. A challenge to understanding the impact of specific types of modifications is a lack of attention to characterizing the different types of changes that may occur. A system for classifying the types of modifications that are made when interventions and programs are implemented can facilitate efforts to understand the nature of modifications that are made in particular contexts as well as the impact of these modifications on outcomes of interest.

Twitter Demographics

The data shown below were collected from the profiles of 29 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 426 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 1 <1%
Netherlands 1 <1%
Argentina 1 <1%
Unknown 421 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 77 18%
Researcher 75 18%
Student > Master 61 14%
Student > Doctoral Student 29 7%
Professor > Associate Professor 25 6%
Other 84 20%
Unknown 75 18%
Readers by discipline Count As %
Psychology 85 20%
Medicine and Dentistry 72 17%
Social Sciences 65 15%
Nursing and Health Professions 39 9%
Computer Science 7 2%
Other 41 10%
Unknown 117 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 May 2020.
All research outputs
#1,572,454
of 21,346,872 outputs
Outputs from Implementation Science
#368
of 1,682 outputs
Outputs of similar age
#13,633
of 175,666 outputs
Outputs of similar age from Implementation Science
#1
of 7 outputs
Altmetric has tracked 21,346,872 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,682 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one has done well, scoring higher than 78% 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 175,666 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 92% 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 all of them