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X Demographics
Mendeley readers
Attention Score in Context
| 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. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 21% |
| Student > Ph. D. Student | 4 | 17% |
| Student > Bachelor | 2 | 8% |
| Researcher | 2 | 8% |
| Other | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 7 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 4 | 17% |
| Social Sciences | 2 | 8% |
| Medicine and Dentistry | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Nursing and Health Professions | 1 | 4% |
| Other | 6 | 25% |
| Unknown | 7 | 29% |
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
#18,343,746
of 22,716,996 outputs
Outputs from BMC Public Health
#12,792
of 14,790 outputs
Outputs of similar age
#147,665
of 197,307 outputs
Outputs of similar age from BMC Public Health
#240
of 256 outputs
Altmetric has tracked 22,716,996 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 14,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 6th percentile – i.e., 6% 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 197,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 256 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.