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A randomised fractional factorial screening experiment to predict effective features of audit and feedback

Overview of attention for article published in Implementation Science, May 2022
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (66th percentile)

Mentioned by

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25 X users

Citations

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6 Dimensions

Readers on

mendeley
31 Mendeley
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Title
A randomised fractional factorial screening experiment to predict effective features of audit and feedback
Published in
Implementation Science, May 2022
DOI 10.1186/s13012-022-01208-5
Pubmed ID
Authors

Alexandra Wright-Hughes, Thomas A. Willis, Stephanie Wilson, Ana Weller, Fabiana Lorencatto, Mohamed Althaf, Valentine Seymour, Amanda J. Farrin, Jillian Francis, Jamie Brehaut, Noah Ivers, Sarah L. Alderson, Benjamin C. Brown, Richard G. Feltbower, Chris P. Gale, Simon J. Stanworth, Suzanne Hartley, Heather Colquhoun, Justin Presseau, Rebecca Walwyn, Robbie Foy

X Demographics

X Demographics

The data shown below were collected from the profiles of 25 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 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Lecturer 2 6%
Student > Bachelor 2 6%
Librarian 1 3%
Other 1 3%
Other 4 13%
Unknown 16 52%
Readers by discipline Count As %
Nursing and Health Professions 6 19%
Medicine and Dentistry 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Business, Management and Accounting 1 3%
Computer Science 1 3%
Other 3 10%
Unknown 17 55%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 27 September 2022.
All research outputs
#2,544,846
of 25,118,194 outputs
Outputs from Implementation Science
#523
of 1,798 outputs
Outputs of similar age
#54,589
of 433,785 outputs
Outputs of similar age from Implementation Science
#7
of 18 outputs
Altmetric has tracked 25,118,194 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,798 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.8. This one has gotten more attention than average, scoring higher than 70% 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 433,785 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.