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A three-stage approach to measuring health inequalities and inequities

Overview of attention for article published in International Journal for Equity in Health, November 2014
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

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37 X users
facebook
2 Facebook pages

Citations

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34 Dimensions

Readers on

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195 Mendeley
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Title
A three-stage approach to measuring health inequalities and inequities
Published in
International Journal for Equity in Health, November 2014
DOI 10.1186/s12939-014-0098-y
Pubmed ID
Authors

Yukiko Asada, Jeremiah Hurley, Ole Frithjof Norheim, Mira Johri

Abstract

Measurement of health inequities is fundamental to all health equity initiatives. It is complex because it requires considerations of ethics, methods, and policy. Drawing upon the recent developments in related specialized fields, in this paper we incorporate alternative definitions of health inequity explicitly and transparently in its measurement. We propose a three-stage approach to measuring health inequities that assembles univariate health inequality, univariate health inequity, and bivariate health inequities in a systematic and comparative manner.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 X users 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 195 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 1%
Canada 2 1%
Chile 1 <1%
South Africa 1 <1%
United Kingdom 1 <1%
New Zealand 1 <1%
United States 1 <1%
Unknown 186 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 38 19%
Researcher 30 15%
Student > Ph. D. Student 26 13%
Other 10 5%
Student > Doctoral Student 10 5%
Other 38 19%
Unknown 43 22%
Readers by discipline Count As %
Social Sciences 39 20%
Medicine and Dentistry 36 18%
Nursing and Health Professions 17 9%
Economics, Econometrics and Finance 15 8%
Agricultural and Biological Sciences 5 3%
Other 28 14%
Unknown 55 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 25 January 2019.
All research outputs
#1,558,122
of 24,176,243 outputs
Outputs from International Journal for Equity in Health
#224
of 2,057 outputs
Outputs of similar age
#18,313
of 265,246 outputs
Outputs of similar age from International Journal for Equity in Health
#8
of 40 outputs
Altmetric has tracked 24,176,243 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,057 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 89% 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 265,246 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.