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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A validation of ground ambulance pre-hospital times modeled using geographic information systems
|
|---|---|
| Published in |
International Journal of Health Geographics, October 2012
|
| DOI | 10.1186/1476-072x-11-42 |
| Pubmed ID | |
| Authors |
Alka B Patel, Nigel M Waters, Ian E Blanchard, Christopher J Doig, William A Ghali |
| Abstract |
Evaluating geographic access to health services often requires determining the patient travel time to a specified service. For urgent care, many research studies have modeled patient pre-hospital time by ground emergency medical services (EMS) using geographic information systems (GIS). The purpose of this study was to determine if the modeling assumptions proposed through prior United States (US) studies are valid in a non-US context, and to use the resulting information to provide revised recommendations for modeling travel time using GIS in the absence of actual EMS trip data. |
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 States | 1 | 25% |
| United Kingdom | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Tanzania, United Republic of | 1 | <1% |
| South Africa | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Taiwan | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 112 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 20% |
| Researcher | 16 | 13% |
| Student > Ph. D. Student | 16 | 13% |
| Student > Doctoral Student | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Other | 23 | 19% |
| Unknown | 16 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 32 | 27% |
| Computer Science | 12 | 10% |
| Engineering | 12 | 10% |
| Social Sciences | 12 | 10% |
| Nursing and Health Professions | 10 | 8% |
| Other | 20 | 17% |
| Unknown | 21 | 18% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 24 July 2014.
All research outputs
#6,066,678
of 22,679,690 outputs
Outputs from International Journal of Health Geographics
#201
of 627 outputs
Outputs of similar age
#44,117
of 172,465 outputs
Outputs of similar age from International Journal of Health Geographics
#3
of 6 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
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 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 172,465 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.