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Illness, medical expenditure and household consumption: observations from Taiwan

Overview of attention for article published in BMC Public Health, August 2013
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Mentioned by

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1 tweeter

Citations

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6 Dimensions

Readers on

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22 Mendeley
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Title
Illness, medical expenditure and household consumption: observations from Taiwan
Published in
BMC Public Health, August 2013
DOI 10.1186/1471-2458-13-743
Pubmed ID
Authors

Kuangnan Fang, Chi Ma, Yefei Jiang, Linglong Ye, Benchang Shia, Shuangge Ma

Abstract

Illness conditions lead to medical expenditure. Even with various types of medical insurance, there can still be considerable out-of-pocket costs. Medical expenditure can affect other categories of household consumptions. The goal of this study is to provide an updated empirical description of the distributions of illness conditions and medical expenditure and their associations with other categories of household consumptions.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Ph. D. Student 4 18%
Researcher 2 9%
Student > Bachelor 2 9%
Other 1 5%
Other 2 9%
Unknown 6 27%
Readers by discipline Count As %
Economics, Econometrics and Finance 4 18%
Social Sciences 2 9%
Agricultural and Biological Sciences 2 9%
Nursing and Health Professions 1 5%
Business, Management and Accounting 1 5%
Other 5 23%
Unknown 7 32%

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 12 August 2013.
All research outputs
#3,088,613
of 4,506,977 outputs
Outputs from BMC Public Health
#4,202
of 5,090 outputs
Outputs of similar age
#62,399
of 90,543 outputs
Outputs of similar age from BMC Public Health
#158
of 177 outputs
Altmetric has tracked 4,506,977 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,090 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 10th percentile – i.e., 10% 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 90,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 177 others from the same source and published within six weeks on either side of this one. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.