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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, July 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
17 Dimensions

Readers on

mendeley
58 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, July 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.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 11 19%
Student > Doctoral Student 5 9%
Lecturer 4 7%
Student > Bachelor 4 7%
Other 8 14%
Unknown 13 22%
Readers by discipline Count As %
Social Sciences 11 19%
Medicine and Dentistry 9 16%
Nursing and Health Professions 5 9%
Business, Management and Accounting 2 3%
Environmental Science 2 3%
Other 10 17%
Unknown 19 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 27 November 2023.
All research outputs
#3,080,835
of 25,374,647 outputs
Outputs from International Journal of Health Geographics
#99
of 654 outputs
Outputs of similar age
#20,001
of 178,589 outputs
Outputs of similar age from International Journal of Health Geographics
#5
of 20 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 87th 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 84% 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 178,589 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 88% of its contemporaries.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.