↓ Skip to main content

Income-related children’s health inequality and health achievement in China

Overview of attention for article published in International Journal for Equity in Health, October 2014
Altmetric Badge

About this Attention Score

  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 X user

Citations

dimensions_citation
35 Dimensions

Readers on

mendeley
62 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Income-related children’s health inequality and health achievement in China
Published in
International Journal for Equity in Health, October 2014
DOI 10.1186/s12939-014-0102-6
Pubmed ID
Authors

Lu Chen, Ya Wu, Peter C Coyte

Abstract

IntroductionThis study assessed income¿related health inequality and health achievement in children in China, and additionally, examined province-level variations in health achievement.MethodsLongitudinal data on 19,801 children under 18 years of age were derived from the China Health and Nutrition Survey. Income¿related health inequality and health achievement were measured by the Health Concentration and Health Achievement Indices, respectively. Panel data with a fixed effect multiple regression model was employed to examine province-level variations in health achievement.ResultsA growing trend was towards greater health inequality among Chinese children over the last two decades. Although health achievement was getting better over time, the pro-rich inequality component has lessened the associated gain in achievement. Health achievement was positively impacted by middle school enrollments, the urbanization rate, inflation-adjusted per capita gross domestic product, and per capita public health spending.ConclusionThis study has provided evidence that average health status of Chinese children has improved, but inequality has widened. Widening inequality slowed the growth in health achievement for children over time. There were wide variations in health achievement throughout China.

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 8 13%
Researcher 7 11%
Lecturer 6 10%
Student > Doctoral Student 4 6%
Other 16 26%
Unknown 12 19%
Readers by discipline Count As %
Economics, Econometrics and Finance 12 19%
Social Sciences 8 13%
Medicine and Dentistry 7 11%
Nursing and Health Professions 5 8%
Business, Management and Accounting 3 5%
Other 10 16%
Unknown 17 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 15 February 2018.
All research outputs
#7,204,796
of 22,772,779 outputs
Outputs from International Journal for Equity in Health
#1,111
of 1,892 outputs
Outputs of similar age
#81,297
of 260,661 outputs
Outputs of similar age from International Journal for Equity in Health
#20
of 40 outputs
Altmetric has tracked 22,772,779 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,892 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 40th percentile – i.e., 40% 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 260,661 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% 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 is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.