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Identifying the poor for premium exemption: a critical step towards universal health coverage in Sub-Saharan Africa

Overview of attention for article published in Global Health Research and Policy, January 2017
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  • Average Attention Score compared to outputs of the same age

Mentioned by

policy
1 policy source

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Identifying the poor for premium exemption: a critical step towards universal health coverage in Sub-Saharan Africa
Published in
Global Health Research and Policy, January 2017
DOI 10.1186/s41256-016-0023-6
Pubmed ID
Authors

Chukwuemeka A. Umeh

Abstract

Premium exemption for the poor is a critical step towards achieving universal health coverage in sub-Saharan Africa due to the large proportion of the population living in extreme poverty who cannot pay premium. However, identifying the poor for premium exemption has been a big challenge for SSA countries. This paper is a succinct review of four methods available for identifying the poor, outlining the ideal conditions under which each of the methods should be used and the drawbacks associated with using each of the methods.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 35%
Student > Bachelor 3 15%
Other 1 5%
Student > Ph. D. Student 1 5%
Unknown 8 40%
Readers by discipline Count As %
Medicine and Dentistry 4 20%
Social Sciences 4 20%
Nursing and Health Professions 3 15%
Arts and Humanities 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 7 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 08 May 2022.
All research outputs
#8,676,053
of 25,711,998 outputs
Outputs from Global Health Research and Policy
#142
of 279 outputs
Outputs of similar age
#147,555
of 424,871 outputs
Outputs of similar age from Global Health Research and Policy
#3
of 5 outputs
Altmetric has tracked 25,711,998 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 279 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 46th percentile – i.e., 46% 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 424,871 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 50% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.