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Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms

Overview of attention for article published in Implementation Science, December 2023
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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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

twitter
35 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
12 Mendeley
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Title
Audit and feedback to reduce unwarranted clinical variation at scale: a realist study of implementation strategy mechanisms
Published in
Implementation Science, December 2023
DOI 10.1186/s13012-023-01324-w
Pubmed ID
Authors

Mitchell Sarkies, Emilie Francis-Auton, Janet Long, Natalie Roberts, Johanna Westbrook, Jean-Frederic Levesque, Diane E. Watson, Rebecca Hardwick, Kim Sutherland, Gary Disher, Peter Hibbert, Jeffrey Braithwaite

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 17%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Student > Ph. D. Student 1 8%
Professor 1 8%
Other 0 0%
Unknown 6 50%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Nursing and Health Professions 1 8%
Business, Management and Accounting 1 8%
Social Sciences 1 8%
Psychology 1 8%
Other 0 0%
Unknown 6 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 08 February 2024.
All research outputs
#1,935,582
of 25,830,657 outputs
Outputs from Implementation Science
#362
of 1,822 outputs
Outputs of similar age
#30,131
of 365,174 outputs
Outputs of similar age from Implementation Science
#2
of 23 outputs
Altmetric has tracked 25,830,657 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 1,822 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one has done well, scoring higher than 80% 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 365,174 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 91% of its contemporaries.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.