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Health worker preferences for community-based health insurance payment mechanisms: a discrete choice experiment

Overview of attention for article published in BMC Health Services Research, June 2012
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Mentioned by

twitter
2 tweeters

Citations

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20 Dimensions

Readers on

mendeley
140 Mendeley
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Title
Health worker preferences for community-based health insurance payment mechanisms: a discrete choice experiment
Published in
BMC Health Services Research, June 2012
DOI 10.1186/1472-6963-12-159
Pubmed ID
Authors

Paul Jacob Robyn, Till Bärnighausen, Aurélia Souares, Germain Savadogo, Brice Bicaba, Ali Sié, Rainer Sauerborn

Abstract

In 2004, a community-based health insurance scheme (CBI) was introduced in Nouna health district, Burkina Faso. Since its inception, coverage has remained low and dropout rates high. One important reason for low coverage and high dropout is that health workers do not support the CBI scheme because they are dissatisfied with the provider payment mechanism of the CBI.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Canada 2 1%
Ghana 1 <1%
Unknown 134 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 36 26%
Student > Ph. D. Student 21 15%
Researcher 19 14%
Student > Doctoral Student 14 10%
Student > Bachelor 8 6%
Other 29 21%
Unknown 13 9%
Readers by discipline Count As %
Medicine and Dentistry 33 24%
Social Sciences 24 17%
Economics, Econometrics and Finance 22 16%
Nursing and Health Professions 13 9%
Business, Management and Accounting 6 4%
Other 24 17%
Unknown 18 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 June 2012.
All research outputs
#14,146,599
of 22,668,244 outputs
Outputs from BMC Health Services Research
#5,033
of 7,576 outputs
Outputs of similar age
#98,564
of 167,326 outputs
Outputs of similar age from BMC Health Services Research
#63
of 97 outputs
Altmetric has tracked 22,668,244 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,576 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 30th percentile – i.e., 30% 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 167,326 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 97 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.