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Strategies for expanding health insurance coverage in vulnerable populations

Overview of attention for article published in Cochrane database of systematic reviews, November 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)

Mentioned by

twitter
3 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
190 Mendeley
citeulike
1 CiteULike
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Title
Strategies for expanding health insurance coverage in vulnerable populations
Published in
Cochrane database of systematic reviews, November 2014
DOI 10.1002/14651858.cd008194.pub3
Pubmed ID
Authors

Liying Jia, Beibei Yuan, Fei Huang, Ying Lu, Paul Garner, Qingyue Meng

Abstract

Health insurance has the potential to improve access to health care and protect people from the financial risks of diseases. However, health insurance coverage is often low, particularly for people most in need of protection, including children and other vulnerable populations.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 190 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
India 1 <1%
Indonesia 1 <1%
New Zealand 1 <1%
Nigeria 1 <1%
Switzerland 1 <1%
Unknown 183 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 44 23%
Researcher 28 15%
Student > Bachelor 17 9%
Student > Ph. D. Student 16 8%
Student > Postgraduate 13 7%
Other 39 21%
Unknown 33 17%
Readers by discipline Count As %
Medicine and Dentistry 60 32%
Nursing and Health Professions 29 15%
Social Sciences 23 12%
Psychology 9 5%
Agricultural and Biological Sciences 6 3%
Other 27 14%
Unknown 36 19%

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 13 October 2016.
All research outputs
#3,403,317
of 12,527,219 outputs
Outputs from Cochrane database of systematic reviews
#5,948
of 8,923 outputs
Outputs of similar age
#72,944
of 287,848 outputs
Outputs of similar age from Cochrane database of systematic reviews
#171
of 230 outputs
Altmetric has tracked 12,527,219 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,923 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one is in the 39th percentile – i.e., 39% 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 287,848 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 73% of its contemporaries.
We're also able to compare this research output to 230 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.