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Clinical Performance Feedback Intervention Theory (CP-FIT): a new theory for designing, implementing, and evaluating feedback in health care based on a systematic review and meta-synthesis of…

Overview of attention for article published in Implementation Science, April 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

Mentioned by

twitter
67 X users

Citations

dimensions_citation
173 Dimensions

Readers on

mendeley
329 Mendeley
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Title
Clinical Performance Feedback Intervention Theory (CP-FIT): a new theory for designing, implementing, and evaluating feedback in health care based on a systematic review and meta-synthesis of qualitative research
Published in
Implementation Science, April 2019
DOI 10.1186/s13012-019-0883-5
Pubmed ID
Authors

Benjamin Brown, Wouter T. Gude, Thomas Blakeman, Sabine N. van der Veer, Noah Ivers, Jill J. Francis, Fabiana Lorencatto, Justin Presseau, Niels Peek, Gavin Daker-White

X Demographics

X Demographics

The data shown below were collected from the profiles of 67 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 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 329 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 15%
Student > Master 37 11%
Student > Ph. D. Student 26 8%
Student > Bachelor 24 7%
Other 22 7%
Other 55 17%
Unknown 116 35%
Readers by discipline Count As %
Medicine and Dentistry 62 19%
Nursing and Health Professions 42 13%
Psychology 12 4%
Social Sciences 12 4%
Business, Management and Accounting 9 3%
Other 58 18%
Unknown 134 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 June 2022.
All research outputs
#1,074,782
of 25,765,370 outputs
Outputs from Implementation Science
#160
of 1,821 outputs
Outputs of similar age
#24,005
of 364,473 outputs
Outputs of similar age from Implementation Science
#7
of 33 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,821 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 particularly well, scoring higher than 91% 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 364,473 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 93% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.