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X Demographics
Mendeley readers
Attention Score in Context
Title |
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical services
|
---|---|
Published in |
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine, March 2020
|
DOI | 10.1186/s13049-020-0713-4 |
Pubmed ID | |
Authors |
Da-Young Kang, Kyung-Jae Cho, Oyeon Kwon, Joon-myoung Kwon, Ki-Hyun Jeon, Hyunho Park, Yeha Lee, Jinsik Park, Byung-Hee Oh |
X Demographics
The data shown below were collected from the profiles of 18 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 | 4 | 22% |
United States | 3 | 17% |
Australia | 1 | 6% |
Spain | 1 | 6% |
India | 1 | 6% |
Unknown | 8 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 12 | 67% |
Scientists | 4 | 22% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 143 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 17 | 12% |
Student > Ph. D. Student | 9 | 6% |
Researcher | 8 | 6% |
Other | 7 | 5% |
Professor | 6 | 4% |
Other | 26 | 18% |
Unknown | 70 | 49% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 23 | 16% |
Nursing and Health Professions | 15 | 10% |
Engineering | 11 | 8% |
Computer Science | 8 | 6% |
Neuroscience | 3 | 2% |
Other | 15 | 10% |
Unknown | 68 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 09 August 2023.
All research outputs
#2,109,079
of 25,109,453 outputs
Outputs from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#196
of 1,353 outputs
Outputs of similar age
#46,465
of 367,078 outputs
Outputs of similar age from Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine
#6
of 24 outputs
Altmetric has tracked 25,109,453 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 1,353 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 85% 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 367,078 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 87% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.