| Title |
Machine Learning in Relation to Emergency Medicine Clinical and Operational Scenarios: An Overview
|
|---|---|
| Published in |
The Western Journal of Emergency Medicine, February 2019
|
| DOI | 10.5811/westjem.2019.1.41244 |
| Pubmed ID | |
| Authors |
Sangil Lee, Nicholas M. Mohr, W. Nicholas Street, Prakash Nadkarni |
X Demographics
The data shown below were collected from the profiles of 2 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 States | 1 | 50% |
| France | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 120 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 120 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 11% |
| Student > Bachelor | 12 | 10% |
| Researcher | 11 | 9% |
| Other | 7 | 6% |
| Student > Master | 6 | 5% |
| Other | 26 | 22% |
| Unknown | 45 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 22% |
| Computer Science | 16 | 13% |
| Nursing and Health Professions | 7 | 6% |
| Unspecified | 3 | 3% |
| Social Sciences | 3 | 3% |
| Other | 12 | 10% |
| Unknown | 53 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 06 July 2020.
All research outputs
#4,549,873
of 25,385,509 outputs
Outputs from The Western Journal of Emergency Medicine
#486
of 1,517 outputs
Outputs of similar age
#90,645
of 367,419 outputs
Outputs of similar age from The Western Journal of Emergency Medicine
#8
of 24 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has gotten more attention than average, scoring higher than 67% 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 367,419 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 75% 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 gotten more attention than average, scoring higher than 66% of its contemporaries.