Title |
Participatory design of an improvement intervention for the primary care management of possible sepsis using the Functional Resonance Analysis Method
|
---|---|
Published in |
BMC Medicine, October 2018
|
DOI | 10.1186/s12916-018-1164-x |
Pubmed ID | |
Authors |
Duncan McNab, John Freestone, Chris Black, Andrew Carson-Stevens, Paul Bowie |
X Demographics
The data shown below were collected from the profiles of 27 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 | 10 | 37% |
Australia | 4 | 15% |
Malaysia | 1 | 4% |
United States | 1 | 4% |
Curaçao | 1 | 4% |
Ireland | 1 | 4% |
Netherlands | 1 | 4% |
Unknown | 8 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 48% |
Scientists | 8 | 30% |
Practitioners (doctors, other healthcare professionals) | 4 | 15% |
Science communicators (journalists, bloggers, editors) | 2 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 15% |
Researcher | 14 | 15% |
Student > Master | 9 | 10% |
Student > Doctoral Student | 9 | 10% |
Other | 7 | 7% |
Other | 17 | 18% |
Unknown | 24 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 15 | 16% |
Medicine and Dentistry | 14 | 15% |
Engineering | 12 | 13% |
Business, Management and Accounting | 4 | 4% |
Psychology | 4 | 4% |
Other | 14 | 15% |
Unknown | 31 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 29 November 2018.
All research outputs
#2,003,467
of 24,775,802 outputs
Outputs from BMC Medicine
#1,363
of 3,838 outputs
Outputs of similar age
#41,809
of 351,641 outputs
Outputs of similar age from BMC Medicine
#28
of 72 outputs
Altmetric has tracked 24,775,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,838 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one has gotten more attention than average, scoring higher than 64% 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 351,641 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 88% of its contemporaries.
We're also able to compare this research output to 72 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 62% of its contemporaries.