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X Demographics
Mendeley readers
Attention Score in Context
Title |
A randomised fractional factorial screening experiment to predict effective features of audit and feedback
|
---|---|
Published in |
Implementation Science, May 2022
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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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 12 | 48% |
Australia | 1 | 4% |
Colombia | 1 | 4% |
Unknown | 11 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 44% |
Scientists | 10 | 40% |
Practitioners (doctors, other healthcare professionals) | 3 | 12% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
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
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.