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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass casualty modelling: a spatial tool to support triage decision making
|
|---|---|
| Published in |
International Journal of Health Geographics, June 2011
|
| DOI | 10.1186/1476-072x-10-40 |
| Pubmed ID | |
| Authors |
Ofer Amram, Nadine Schuurman, Syed M Hameed |
| Abstract |
During a mass casualty incident, evacuation of patients to the appropriate health care facility is critical to survival. Despite this, no existing system provides the evidence required to make informed evacuation decisions from the scene of the incident. To mitigate this absence and enable more informed decision making, a web based spatial decision support system (SDSS) was developed. This system supports decision making by providing data regarding hospital proximity, capacity, and treatment specializations to decision makers at the scene of the incident. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 3% |
| Korea, Republic of | 1 | 1% |
| Unknown | 70 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 16% |
| Student > Doctoral Student | 10 | 14% |
| Researcher | 9 | 12% |
| Student > Master | 9 | 12% |
| Student > Bachelor | 6 | 8% |
| Other | 19 | 26% |
| Unknown | 8 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 28 | 38% |
| Engineering | 13 | 18% |
| Social Sciences | 6 | 8% |
| Computer Science | 5 | 7% |
| Nursing and Health Professions | 4 | 5% |
| Other | 7 | 10% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 May 2020.
All research outputs
#18,351,676
of 22,727,570 outputs
Outputs from International Journal of Health Geographics
#512
of 627 outputs
Outputs of similar age
#95,721
of 112,927 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 3 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 627 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.3. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 112,927 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.