Title |
Computer-aided National Early Warning Score to predict the risk of sepsis following emergency medical admission to hospital: a model development and external validation study
|
---|---|
Published in |
Canadian Medical Association Journal, April 2019
|
DOI | 10.1503/cmaj.181418 |
Pubmed ID | |
Authors |
Muhammad Faisal, Donald Richardson, Andrew J Scally, Robin Howes, Kevin Beatson, Kevin Speed, Mohammed A Mohammed |
X Demographics
The data shown below were collected from the profiles of 22 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 | 27% |
Canada | 5 | 23% |
United States | 3 | 14% |
Germany | 1 | 5% |
Ireland | 1 | 5% |
Unknown | 6 | 27% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 59% |
Practitioners (doctors, other healthcare professionals) | 8 | 36% |
Scientists | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 10 | 14% |
Student > Master | 8 | 11% |
Student > Bachelor | 7 | 9% |
Student > Ph. D. Student | 7 | 9% |
Student > Doctoral Student | 6 | 8% |
Other | 14 | 19% |
Unknown | 22 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 22 | 30% |
Nursing and Health Professions | 10 | 14% |
Business, Management and Accounting | 3 | 4% |
Agricultural and Biological Sciences | 3 | 4% |
Psychology | 3 | 4% |
Other | 10 | 14% |
Unknown | 23 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 130. 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 03 May 2019.
All research outputs
#315,319
of 25,248,775 outputs
Outputs from Canadian Medical Association Journal
#564
of 9,391 outputs
Outputs of similar age
#6,810
of 359,593 outputs
Outputs of similar age from Canadian Medical Association Journal
#13
of 127 outputs
Altmetric has tracked 25,248,775 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.0. This one has done particularly well, scoring higher than 94% 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 359,593 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.