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Barriers of effective health insurance coverage for rural-to-urban migrant workers in China: a systematic review and policy gap analysis

Overview of attention for article published in BMC Public Health, March 2020
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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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
113 Mendeley
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Title
Barriers of effective health insurance coverage for rural-to-urban migrant workers in China: a systematic review and policy gap analysis
Published in
BMC Public Health, March 2020
DOI 10.1186/s12889-020-8448-8
Pubmed ID
Authors

Shanquan Chen, Yingyao Chen, Zhanchun Feng, Xi Chen, Zheng Wang, Jianfeng Zhu, Jun Jin, Qiang Yao, Li Xiang, Lan Yao, Ju Sun, Lu Zhao, Hong Fung, Eliza Lai-yi Wong, Dong Dong

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 113 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 16%
Student > Ph. D. Student 13 12%
Student > Doctoral Student 9 8%
Student > Bachelor 5 4%
Researcher 5 4%
Other 19 17%
Unknown 44 39%
Readers by discipline Count As %
Nursing and Health Professions 18 16%
Social Sciences 16 14%
Medicine and Dentistry 14 12%
Business, Management and Accounting 6 5%
Computer Science 2 2%
Other 9 8%
Unknown 48 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 07 August 2020.
All research outputs
#2,324,947
of 23,201,298 outputs
Outputs from BMC Public Health
#2,669
of 15,150 outputs
Outputs of similar age
#57,365
of 369,997 outputs
Outputs of similar age from BMC Public Health
#72
of 324 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has done well, scoring higher than 82% 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 369,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.