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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A predictive ambulance dispatch algorithm to the scene of a motor vehicle crash: the search for optimal over and under triage rates
|
|---|---|
| Published in |
BMC Emergency Medicine, May 2022
|
| DOI | 10.1186/s12873-022-00609-5 |
| Pubmed ID | |
| Authors |
Ellen Ceklic, Hideo Tohira, Stephen Ball, Elizabeth Brown, Deon Brink, Paul Bailey, Rudolph Brits, Judith Finn |
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 Kingdom | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 19% |
| Unspecified | 2 | 10% |
| Student > Bachelor | 2 | 10% |
| Professor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 14% |
| Medicine and Dentistry | 3 | 14% |
| Nursing and Health Professions | 2 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 10 | 48% |
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 18 June 2022.
All research outputs
#3,898,085
of 22,699,621 outputs
Outputs from BMC Emergency Medicine
#182
of 746 outputs
Outputs of similar age
#85,080
of 437,034 outputs
Outputs of similar age from BMC Emergency Medicine
#14
of 42 outputs
Altmetric has tracked 22,699,621 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 746 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.0. This one has done well, scoring higher than 75% 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 437,034 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 80% of its contemporaries.
We're also able to compare this research output to 42 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.