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Mendeley readers
Attention Score in Context
Title |
Why has the Universal Coverage Scheme in Thailand achieved a pro-poor public subsidy for health care?
|
---|---|
Published in |
BMC Public Health, June 2012
|
DOI | 10.1186/1471-2458-12-s1-s6 |
Pubmed ID | |
Authors |
Supon Limwattananon, Viroj Tangcharoensathien, Kanjana Tisayaticom, Tawekiat Boonyapaisarncharoen, Phusit Prakongsai |
Abstract |
Thailand has achieved universal health coverage since 2002 through the implementation of the Universal Coverage Scheme (UCS) for 47 million of the population who were neither private sector employees nor government employees. A well performing UCS should achieve health equity goals in terms of health service use and distribution of government subsidy on health. With these goals in mind, this paper assesses the magnitude and trend of government health budget benefiting the poor as compared to the rich UCS members. |
Mendeley readers
The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 3 | 2% |
Thailand | 2 | 1% |
Ghana | 1 | <1% |
Kenya | 1 | <1% |
Belgium | 1 | <1% |
South Africa | 1 | <1% |
Cambodia | 1 | <1% |
United States | 1 | <1% |
Unknown | 139 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 35 | 23% |
Researcher | 22 | 15% |
Student > Ph. D. Student | 17 | 11% |
Other | 10 | 7% |
Lecturer | 7 | 5% |
Other | 30 | 20% |
Unknown | 29 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 43 | 29% |
Social Sciences | 28 | 19% |
Economics, Econometrics and Finance | 16 | 11% |
Nursing and Health Professions | 12 | 8% |
Business, Management and Accounting | 6 | 4% |
Other | 11 | 7% |
Unknown | 34 | 23% |
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 09 February 2020.
All research outputs
#7,171,179
of 22,669,724 outputs
Outputs from BMC Public Health
#7,525
of 14,748 outputs
Outputs of similar age
#52,420
of 164,331 outputs
Outputs of similar age from BMC Public Health
#122
of 287 outputs
Altmetric has tracked 22,669,724 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 14,748 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 47th percentile – i.e., 47% 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 164,331 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 67% of its contemporaries.
We're also able to compare this research output to 287 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.