| Title |
Modelling optimal location for pre-hospital helicopter emergency medical services
|
|---|---|
| Published in |
BMC Emergency Medicine, May 2009
|
| DOI | 10.1186/1471-227x-9-6 |
| Pubmed ID | |
| Authors |
Nadine Schuurman, Nathaniel J Bell, Randy L'Heureux, Syed M Hameed |
| Abstract |
Increasing the range and scope of early activation/auto launch helicopter emergency medical services (HEMS) may alleviate unnecessary injury mortality that disproportionately affects rural populations. To date, attempts to develop a quantitative framework for the optimal location of HEMS facilities have been absent. |
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 % |
|---|---|---|
| Unknown | 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Italy | 1 | 1% |
| United Kingdom | 1 | 1% |
| Iran, Islamic Republic of | 1 | 1% |
| Spain | 1 | 1% |
| Japan | 1 | 1% |
| Unknown | 87 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 19% |
| Researcher | 16 | 17% |
| Student > Bachelor | 13 | 14% |
| Student > Ph. D. Student | 11 | 12% |
| Student > Postgraduate | 7 | 8% |
| Other | 17 | 18% |
| Unknown | 11 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 27% |
| Business, Management and Accounting | 10 | 11% |
| Engineering | 9 | 10% |
| Nursing and Health Professions | 8 | 9% |
| Social Sciences | 6 | 6% |
| Other | 21 | 23% |
| Unknown | 14 | 15% |
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 11 December 2012.
All research outputs
#15,258,711
of 22,689,790 outputs
Outputs from BMC Emergency Medicine
#473
of 746 outputs
Outputs of similar age
#78,010
of 92,641 outputs
Outputs of similar age from BMC Emergency Medicine
#4
of 5 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
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 is in the 28th percentile – i.e., 28% 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 92,641 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.