You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Scaling up Quality Improvement for Surgical Teams (QIST)—avoiding surgical site infection and anaemia at the time of surgery: a cluster randomised controlled trial of the effectiveness of quality improvement collaboratives to introduce change in the NHS
|
---|---|
Published in |
Implementation Science, March 2022
|
DOI | 10.1186/s13012-022-01193-9 |
Pubmed ID | |
Authors |
Ashley Brian Scrimshire, Alison Booth, Caroline Fairhurst, Elizabeth Coleman, Ajay Malviya, Alwyn Kotze, Chris Tiplady, David Tate, Annie Laverty, Gillian Davis, Win Tadd, Belen Corbacho, David J. Torgerson, Catriona McDaid, Mike Reed |
X Demographics
The data shown below were collected from the profiles of 12 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 | 6 | 50% |
Unknown | 6 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 75% |
Scientists | 2 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 36 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 3 | 8% |
Student > Bachelor | 2 | 6% |
Professor | 2 | 6% |
Student > Postgraduate | 2 | 6% |
Student > Master | 2 | 6% |
Other | 3 | 8% |
Unknown | 22 | 61% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 7 | 19% |
Nursing and Health Professions | 2 | 6% |
Computer Science | 2 | 6% |
Social Sciences | 2 | 6% |
Unspecified | 1 | 3% |
Other | 0 | 0% |
Unknown | 22 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 21 March 2022.
All research outputs
#4,178,241
of 25,758,211 outputs
Outputs from Implementation Science
#760
of 1,821 outputs
Outputs of similar age
#88,570
of 449,600 outputs
Outputs of similar age from Implementation Science
#12
of 19 outputs
Altmetric has tracked 25,758,211 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% 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 gotten more attention than average, scoring higher than 58% 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 449,600 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 80% of its contemporaries.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.