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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Measuring geographic access to health care: raster and network-based methods
|
|---|---|
| Published in |
International Journal of Health Geographics, May 2012
|
| DOI | 10.1186/1476-072x-11-15 |
| Pubmed ID | |
| Authors |
Paul L Delamater, Joseph P Messina, Ashton M Shortridge, Sue C Grady |
| Abstract |
Inequalities in geographic access to health care result from the configuration of facilities, population distribution, and the transportation infrastructure. In recent accessibility studies, the traditional distance measure (Euclidean) has been replaced with more plausible measures such as travel distance or time. Both network and raster-based methods are often utilized for estimating travel time in a Geographic Information System. Therefore, exploring the differences in the underlying data models and associated methods and their impact on geographic accessibility estimates is warranted. |
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 365 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 2% |
| Canada | 2 | <1% |
| Germany | 1 | <1% |
| Kenya | 1 | <1% |
| France | 1 | <1% |
| Malaysia | 1 | <1% |
| Peru | 1 | <1% |
| New Zealand | 1 | <1% |
| Nigeria | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 349 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 67 | 18% |
| Student > Ph. D. Student | 66 | 18% |
| Researcher | 45 | 12% |
| Student > Doctoral Student | 27 | 7% |
| Student > Bachelor | 23 | 6% |
| Other | 70 | 19% |
| Unknown | 67 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 71 | 19% |
| Medicine and Dentistry | 52 | 14% |
| Environmental Science | 32 | 9% |
| Engineering | 29 | 8% |
| Earth and Planetary Sciences | 22 | 6% |
| Other | 76 | 21% |
| Unknown | 83 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 August 2022.
All research outputs
#3,343,070
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#109
of 654 outputs
Outputs of similar age
#21,223
of 176,330 outputs
Outputs of similar age from International Journal of Health Geographics
#6
of 16 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 654 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 83% 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 176,330 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 87% of its contemporaries.
We're also able to compare this research output to 16 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 62% of its contemporaries.