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Mendeley readers
Attention Score in Context
| Title |
Using genetic algorithms to optimise current and future health planning - the example of ambulance locations
|
|---|---|
| Published in |
International Journal of Health Geographics, January 2010
|
| DOI | 10.1186/1476-072x-9-4 |
| Pubmed ID | |
| Authors |
Satoshi Sasaki, Alexis J Comber, Hiroshi Suzuki, Chris Brunsdon |
| Abstract |
Ambulance response time is a crucial factor in patient survival. The number of emergency cases (EMS cases) requiring an ambulance is increasing due to changes in population demographics. This is decreasing ambulance response times to the emergency scene. This paper predicts EMS cases for 5-year intervals from 2020, to 2050 by correlating current EMS cases with demographic factors at the level of the census area and predicted population changes. It then applies a modified grouping genetic algorithm to compare current and future optimal locations and numbers of ambulances. Sets of potential locations were evaluated in terms of the (current and predicted) EMS case distances to those locations. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
| Scientists | 1 | 25% |
| Members of the public | 1 | 25% |
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 % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Indonesia | 1 | <1% |
| Kenya | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 136 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 19% |
| Student > Master | 27 | 19% |
| Student > Bachelor | 16 | 11% |
| Researcher | 13 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Other | 25 | 17% |
| Unknown | 25 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 27 | 19% |
| Engineering | 23 | 16% |
| Computer Science | 18 | 13% |
| Social Sciences | 12 | 8% |
| Business, Management and Accounting | 5 | 3% |
| Other | 24 | 17% |
| Unknown | 34 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 12 July 2013.
All research outputs
#13,386,934
of 22,714,025 outputs
Outputs from International Journal of Health Geographics
#366
of 627 outputs
Outputs of similar age
#129,499
of 164,590 outputs
Outputs of similar age from International Journal of Health Geographics
#12
of 19 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% 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 39th percentile – i.e., 39% 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 164,590 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.