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Mendeley readers
Attention Score in Context
| Title |
Promoting universal financial protection: constraints and enabling factors in scaling-up coverage with social health insurance in Nigeria
|
|---|---|
| Published in |
Health Research Policy and Systems, June 2013
|
| DOI | 10.1186/1478-4505-11-20 |
| Pubmed ID | |
| Authors |
Chima A Onoka, Obinna E Onwujekwe, Benjamin S Uzochukwu, Nkoli N Ezumah |
| Abstract |
The National Health Insurance Scheme (NHIS) in Nigeria was launched in 2005 as part of efforts by the federal government to achieve universal coverage using financial risk protection mechanisms. However, only 4% of the population, and mainly federal government employees, are currently covered by health insurance and this is primarily through the Formal Sector Social Health Insurance Programme (FSSHIP) of the NHIS. This study aimed to understand why different state (sub-national) governments decided whether or not to adopt the FSSHIP for their employees. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 18% |
| Nigeria | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 55% |
| Practitioners (doctors, other healthcare professionals) | 4 | 36% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | <1% |
| Nigeria | 1 | <1% |
| Ghana | 1 | <1% |
| South Africa | 1 | <1% |
| Unknown | 301 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 77 | 25% |
| Student > Postgraduate | 34 | 11% |
| Researcher | 33 | 11% |
| Student > Ph. D. Student | 28 | 9% |
| Lecturer | 15 | 5% |
| Other | 49 | 16% |
| Unknown | 70 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 119 | 39% |
| Nursing and Health Professions | 29 | 9% |
| Social Sciences | 24 | 8% |
| Business, Management and Accounting | 14 | 5% |
| Economics, Econometrics and Finance | 12 | 4% |
| Other | 28 | 9% |
| Unknown | 80 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 25 January 2016.
All research outputs
#4,155,219
of 23,225,652 outputs
Outputs from Health Research Policy and Systems
#579
of 1,230 outputs
Outputs of similar age
#35,649
of 198,029 outputs
Outputs of similar age from Health Research Policy and Systems
#5
of 9 outputs
Altmetric has tracked 23,225,652 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,230 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one has gotten more attention than average, scoring higher than 52% 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 198,029 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 81% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.