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X Demographics
Mendeley readers
Title |
Scaling up Quality Improvement for Surgical Teams (QIST) – avoiding surgical site infection and anaemia at the time of surgery: protocol for a cluster randomised controlled trial
|
---|---|
Published in |
Trials, February 2020
|
DOI | 10.1186/s13063-020-4152-3 |
Pubmed ID | |
Authors |
Ashley B Scrimshire, Alison Booth, Caroline Fairhurst, Mike Reed, Win Tadd, Annie Laverty, Belen Corbacho, David Torgerson, Catriona McDaid |
X Demographics
The data shown below were collected from the profiles of 17 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 | 11 | 65% |
Unknown | 6 | 35% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 65% |
Practitioners (doctors, other healthcare professionals) | 4 | 24% |
Scientists | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 72 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 7 | 10% |
Student > Master | 7 | 10% |
Researcher | 7 | 10% |
Student > Ph. D. Student | 6 | 8% |
Unspecified | 3 | 4% |
Other | 9 | 13% |
Unknown | 33 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 11 | 15% |
Nursing and Health Professions | 9 | 13% |
Business, Management and Accounting | 5 | 7% |
Unspecified | 3 | 4% |
Engineering | 3 | 4% |
Other | 8 | 11% |
Unknown | 33 | 46% |