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Explaining differences in education-related inequalities in health between urban and rural areas in Mongolia

Overview of attention for article published in International Journal for Equity in Health, December 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

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77 X users
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1 Wikipedia page

Citations

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15 Dimensions

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64 Mendeley
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Title
Explaining differences in education-related inequalities in health between urban and rural areas in Mongolia
Published in
International Journal for Equity in Health, December 2015
DOI 10.1186/s12939-015-0281-9
Pubmed ID
Authors

Javkhlanbayar Dorjdagva, Enkhjargal Batbaatar, Bayarsaikhan Dorjsuren, Jussi Kauhanen

Abstract

After the socioeconomic transition in 1990, Mongolia has been experiencing demographic and epidemiologic transitions; however, there is lack of evidence on socioeconomic-related inequality in health across the country. The aim of this paper is to evaluate the education-related inequalities in adult population health in urban and rural areas of Mongolia in 2007/2008. This paper used a nationwide cross-sectional data, the Household Socio-Economic Survey 2007/2008, collected by the National Statistical Office. We employed the Erreygers' concentration index to assess the degree of education-related inequality in adult health in urban and rural areas. Our results suggest that a lower education level was associated with poor self-reported health. The concentration indices of physical limitation and chronic disease were significantly less than zero in both areas. On the other hand, ill-health was concentrated among the less educated groups. The decomposition results show education, economic activity status and income were the main contributors to education-related inequalities in physical limitation and chronic disease removing age-sex related contributions. Improving accessibility and quality of education, especially for the lower socioeconomic groups may reduce socioeconomic-related inequality in health in both rural and urban areas of Mongolia.

X Demographics

X Demographics

The data shown below were collected from the profiles of 77 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 64 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 64 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 11%
Student > Bachelor 6 9%
Student > Doctoral Student 6 9%
Researcher 6 9%
Student > Ph. D. Student 5 8%
Other 10 16%
Unknown 24 38%
Readers by discipline Count As %
Medicine and Dentistry 11 17%
Social Sciences 6 9%
Nursing and Health Professions 5 8%
Unspecified 3 5%
Environmental Science 3 5%
Other 12 19%
Unknown 24 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 66. 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 30 March 2024.
All research outputs
#660,299
of 25,736,439 outputs
Outputs from International Journal for Equity in Health
#68
of 2,259 outputs
Outputs of similar age
#11,055
of 398,449 outputs
Outputs of similar age from International Journal for Equity in Health
#1
of 44 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,259 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 particularly well, scoring higher than 96% 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 398,449 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 97% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.