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X Demographics
Mendeley readers
Attention Score in Context
Title |
Using machine-learning risk prediction models to triage the acuity of undifferentiated patients entering the emergency care system: a systematic review
|
---|---|
Published in |
Diagnostic and Prognostic Research, October 2020
|
DOI | 10.1186/s41512-020-00084-1 |
Pubmed ID | |
Authors |
Jamie Miles, Janette Turner, Richard Jacques, Julia Williams, Suzanne Mason |
X Demographics
The data shown below were collected from the profiles of 28 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 | 13 | 46% |
United States | 3 | 11% |
Netherlands | 1 | 4% |
South Africa | 1 | 4% |
Saudi Arabia | 1 | 4% |
France | 1 | 4% |
Unknown | 8 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 12 | 43% |
Members of the public | 11 | 39% |
Practitioners (doctors, other healthcare professionals) | 5 | 18% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 100 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 12% |
Student > Master | 11 | 11% |
Student > Bachelor | 6 | 6% |
Researcher | 5 | 5% |
Professor > Associate Professor | 4 | 4% |
Other | 17 | 17% |
Unknown | 45 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 13% |
Engineering | 10 | 10% |
Computer Science | 8 | 8% |
Nursing and Health Professions | 6 | 6% |
Mathematics | 2 | 2% |
Other | 13 | 13% |
Unknown | 48 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 31. 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 17 April 2024.
All research outputs
#1,285,482
of 25,728,855 outputs
Outputs from Diagnostic and Prognostic Research
#12
of 126 outputs
Outputs of similar age
#34,775
of 434,786 outputs
Outputs of similar age from Diagnostic and Prognostic Research
#1
of 4 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 126 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.3. This one has done particularly well, scoring higher than 90% 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 434,786 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 92% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them