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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
354 Dimensions

Readers on

mendeley
402 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 402 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 397 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 76 19%
Researcher 74 18%
Student > Master 58 14%
Student > Doctoral Student 28 7%
Professor > Associate Professor 24 6%
Other 77 19%
Unknown 65 16%
Readers by discipline Count As %
Psychology 81 20%
Medicine and Dentistry 71 18%
Social Sciences 64 16%
Nursing and Health Professions 35 9%
Computer Science 7 2%
Other 38 9%
Unknown 106 26%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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
#1,415,379
of 19,884,221 outputs
Outputs from Implementation Science
#337
of 1,647 outputs
Outputs of similar age
#12,987
of 171,725 outputs
Outputs of similar age from Implementation Science
#1
of 9 outputs
Altmetric has tracked 19,884,221 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 1,647 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 well, scoring higher than 79% 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 171,725 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 9 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