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The impact of rural hospital closures on equity of commuting time for haemodialysis patients: simulation analysis using the capacity-distance model

Overview of attention for article published in International Journal of Health Geographics, January 2012
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Mentioned by

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1 tweeter
facebook
1 Facebook page

Citations

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12 Dimensions

Readers on

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54 Mendeley
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Title
The impact of rural hospital closures on equity of commuting time for haemodialysis patients: simulation analysis using the capacity-distance model
Published in
International Journal of Health Geographics, January 2012
DOI 10.1186/1476-072x-11-28
Pubmed ID
Authors

Masatoshi Matsumoto, Takahiko Ogawa, Saori Kashima, Keisuke Takeuchi

Abstract

Frequent and long-term commuting is a requirement for dialysis patients. Accessibility thus affects their quality of lives. In this paper, a new model for accessibility measurement is proposed in which both geographic distance and facility capacity are taken into account. Simulation of closure of rural facilities and that of capacity transfer between urban and rural facilities are conducted to evaluate the impacts of these phenomena on equity of accessibility among dialysis patients.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 26%
Researcher 11 20%
Student > Doctoral Student 5 9%
Lecturer 4 7%
Student > Bachelor 4 7%
Other 8 15%
Unknown 8 15%
Readers by discipline Count As %
Social Sciences 11 20%
Medicine and Dentistry 10 19%
Nursing and Health Professions 5 9%
Business, Management and Accounting 2 4%
Environmental Science 2 4%
Other 10 19%
Unknown 14 26%

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 24 July 2012.
All research outputs
#7,565,488
of 12,545,316 outputs
Outputs from International Journal of Health Geographics
#291
of 475 outputs
Outputs of similar age
#63,053
of 120,129 outputs
Outputs of similar age from International Journal of Health Geographics
#12
of 19 outputs
Altmetric has tracked 12,545,316 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 475 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 33rd percentile – i.e., 33% 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 120,129 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% 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 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.