Title |
Early diagnostic suggestions improve accuracy of GPs: a randomised controlled trial using computer-simulated patients
|
---|---|
Published in |
British Journal of General Practice, December 2014
|
DOI | 10.3399/bjgp15x683161 |
Pubmed ID | |
Authors |
Olga Kostopoulou, Andrea Rosen, Thomas Round, Ellen Wright, Abdel Douiri, Brendan Delaney |
Abstract |
Designers of computerised diagnostic support systems (CDSSs) expect physicians to notice when they need advice and enter into the CDSS all information that they have gathered about the patient. The poor use of CDSSs and the tendency not to follow advice once a leading diagnosis emerges would question this expectation. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
Saudi Arabia | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
United States | 1 | 1% |
France | 1 | 1% |
Unknown | 95 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 18% |
Student > Ph. D. Student | 15 | 15% |
Researcher | 10 | 10% |
Student > Postgraduate | 8 | 8% |
Other | 7 | 7% |
Other | 17 | 17% |
Unknown | 23 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 38% |
Computer Science | 8 | 8% |
Nursing and Health Professions | 6 | 6% |
Psychology | 5 | 5% |
Social Sciences | 5 | 5% |
Other | 8 | 8% |
Unknown | 29 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 October 2022.
All research outputs
#4,642,622
of 23,506,079 outputs
Outputs from British Journal of General Practice
#1,751
of 4,379 outputs
Outputs of similar age
#65,006
of 356,444 outputs
Outputs of similar age from British Journal of General Practice
#13
of 44 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,379 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.4. This one has gotten more attention than average, scoring higher than 59% 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 356,444 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 81% of its contemporaries.
We're also able to compare this research output to 44 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 70% of its contemporaries.