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Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science

Overview of attention for article published in Implementation Science, August 2009
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#11 of 1,652)
  • 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)

Mentioned by

news
3 news outlets
blogs
3 blogs
policy
10 policy sources
twitter
104 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
5592 Dimensions

Readers on

mendeley
4861 Mendeley
citeulike
3 CiteULike
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Title
Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science
Published in
Implementation Science, August 2009
DOI 10.1186/1748-5908-4-50
Pubmed ID
Authors

Laura J Damschroder, David C Aron, Rosalind E Keith, Susan R Kirsh, Jeffery A Alexander, Julie C Lowery

Abstract

Many interventions found to be effective in health services research studies fail to translate into meaningful patient care outcomes across multiple contexts. Health services researchers recognize the need to evaluate not only summative outcomes but also formative outcomes to assess the extent to which implementation is effective in a specific setting, prolongs sustainability, and promotes dissemination into other settings. Many implementation theories have been published to help promote effective implementation. However, they overlap considerably in the constructs included in individual theories, and a comparison of theories reveals that each is missing important constructs included in other theories. In addition, terminology and definitions are not consistent across theories. We describe the Consolidated Framework For Implementation Research (CFIR) that offers an overarching typology to promote implementation theory development and verification about what works where and why across multiple contexts.

Twitter Demographics

The data shown below were collected from the profiles of 104 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 4,861 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 48 <1%
United Kingdom 29 <1%
Canada 12 <1%
Spain 5 <1%
Australia 5 <1%
New Zealand 3 <1%
Switzerland 3 <1%
Sweden 2 <1%
Kenya 2 <1%
Other 20 <1%
Unknown 4732 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 898 18%
Student > Master 850 17%
Student > Ph. D. Student 767 16%
Student > Doctoral Student 364 7%
Other 265 5%
Other 968 20%
Unknown 749 15%
Readers by discipline Count As %
Medicine and Dentistry 1127 23%
Social Sciences 762 16%
Nursing and Health Professions 623 13%
Psychology 502 10%
Business, Management and Accounting 153 3%
Other 644 13%
Unknown 1050 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 145. 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 12 December 2021.
All research outputs
#192,125
of 20,114,180 outputs
Outputs from Implementation Science
#11
of 1,652 outputs
Outputs of similar age
#1,417
of 172,652 outputs
Outputs of similar age from Implementation Science
#1
of 7 outputs
Altmetric has tracked 20,114,180 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 1,652 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 172,652 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 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