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Can integration reduce inequity in healthcare utilization? Evidence and hurdles in China

Overview of attention for article published in BMC Health Services Research, September 2019
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

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15 Dimensions

Readers on

mendeley
59 Mendeley
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Title
Can integration reduce inequity in healthcare utilization? Evidence and hurdles in China
Published in
BMC Health Services Research, September 2019
DOI 10.1186/s12913-019-4480-8
Pubmed ID
Authors

Miaomiao Zhao, Baohua Liu, Linghan Shan, Cui Li, Qunhong Wu, Yanhua Hao, Zhuo Chen, Lan Lan, Zheng Kang, Libo Liang, Ning Ning, Mingli Jiao

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 9 15%
Student > Ph. D. Student 8 14%
Researcher 6 10%
Lecturer 4 7%
Student > Doctoral Student 3 5%
Other 7 12%
Unknown 22 37%
Readers by discipline Count As %
Social Sciences 11 19%
Nursing and Health Professions 6 10%
Medicine and Dentistry 5 8%
Business, Management and Accounting 3 5%
Economics, Econometrics and Finance 3 5%
Other 7 12%
Unknown 24 41%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 10 September 2019.
All research outputs
#13,966,454
of 23,163,378 outputs
Outputs from BMC Health Services Research
#4,904
of 7,757 outputs
Outputs of similar age
#176,740
of 340,812 outputs
Outputs of similar age from BMC Health Services Research
#92
of 149 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,757 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one is in the 35th percentile – i.e., 35% 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 340,812 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.