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Willingness to pay for social health insurance and its determinants among public servants in Mekelle City, Northern Ethiopia: a mixed methods study

Overview of attention for article published in Cost Effectiveness and Resource Allocation, January 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
2 X users

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
211 Mendeley
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Title
Willingness to pay for social health insurance and its determinants among public servants in Mekelle City, Northern Ethiopia: a mixed methods study
Published in
Cost Effectiveness and Resource Allocation, January 2019
DOI 10.1186/s12962-019-0171-x
Pubmed ID
Authors

Meles Tekie Gidey, Gebremedhin Beedemariam Gebretekle, Mary-Ellen Hogan, Teferi Gedif Fenta

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 211 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 41 19%
Student > Ph. D. Student 16 8%
Researcher 13 6%
Student > Bachelor 12 6%
Lecturer 10 5%
Other 24 11%
Unknown 95 45%
Readers by discipline Count As %
Medicine and Dentistry 29 14%
Nursing and Health Professions 26 12%
Economics, Econometrics and Finance 10 5%
Business, Management and Accounting 8 4%
Social Sciences 7 3%
Other 30 14%
Unknown 101 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 13 December 2020.
All research outputs
#2,824,530
of 23,671,454 outputs
Outputs from Cost Effectiveness and Resource Allocation
#53
of 439 outputs
Outputs of similar age
#71,664
of 473,680 outputs
Outputs of similar age from Cost Effectiveness and Resource Allocation
#2
of 10 outputs
Altmetric has tracked 23,671,454 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 439 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done well, scoring higher than 87% of its peers.
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 473,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.