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Integration of rural and urban healthcare insurance schemes in China: an empirical research

Overview of attention for article published in BMC Health Services Research, March 2014
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Title
Integration of rural and urban healthcare insurance schemes in China: an empirical research
Published in
BMC Health Services Research, March 2014
DOI 10.1186/1472-6963-14-142
Pubmed ID
Authors

Xin Wang, Ang Zheng, Xin He, Hanghang Jiang

Abstract

Despite the broad coverage of the healthcare insurance system in China, the imbalances in fairness, accessibility and affordability of healthcare services have hindered the universal healthcare progress. To provide better financial protection for the Chinese population, China's new medical reform was proposed to link up urban employee basic medical insurance scheme (UEBMI), urban resident basic medical insurance scheme (URBMI), new rural cooperative medical system (NRCMS) and urban and rural medical assistance programs. In this paper, we focused on people's expected healthcare insurance model and their willingness towards healthcare insurance integration, and we made a couple of relative policy suggestions.

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

Geographical breakdown

Country Count As %
United Kingdom 2 3%
Unknown 72 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 15 20%
Student > Ph. D. Student 14 19%
Researcher 5 7%
Student > Bachelor 5 7%
Other 4 5%
Other 17 23%
Unknown 14 19%
Readers by discipline Count As %
Social Sciences 17 23%
Medicine and Dentistry 13 18%
Nursing and Health Professions 8 11%
Business, Management and Accounting 5 7%
Economics, Econometrics and Finance 5 7%
Other 8 11%
Unknown 18 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 01 April 2014.
All research outputs
#18,369,403
of 22,751,628 outputs
Outputs from BMC Health Services Research
#6,452
of 7,616 outputs
Outputs of similar age
#163,056
of 225,168 outputs
Outputs of similar age from BMC Health Services Research
#125
of 139 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,616 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 7th percentile – i.e., 7% 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 225,168 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.