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X Demographics
Mendeley readers
Attention Score in Context
Title |
Applying a private sector capitation model to the management of type 2 diabetes in the South African public sector: a cost-effectiveness analysis
|
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Published in |
BMC Health Services Research, September 2014
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DOI | 10.1186/1472-6963-14-444 |
Pubmed ID | |
Authors |
Heinrich C Volmink, Melanie Y Bertram, Ruxana Jina, Alisha N Wade, Karen J Hofman |
Abstract |
Diabetes mellitus contributes substantially to the non-communicable disease burden in South Africa. The proposed National Health Insurance system provides an opportunity to consider the development of a cost-effective capitation model of care for patients with type 2 diabetes. The objective of the study was to determine the potential cost-effectiveness of adapting a private sector diabetes management programme (DMP) to the South African public sector. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Nigeria | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Unknown | 84 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 15% |
Student > Ph. D. Student | 12 | 14% |
Student > Master | 10 | 12% |
Other | 7 | 8% |
Student > Postgraduate | 5 | 6% |
Other | 16 | 19% |
Unknown | 22 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 25% |
Social Sciences | 13 | 15% |
Economics, Econometrics and Finance | 9 | 11% |
Nursing and Health Professions | 7 | 8% |
Business, Management and Accounting | 2 | 2% |
Other | 11 | 13% |
Unknown | 22 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 10 October 2014.
All research outputs
#15,306,972
of 22,765,347 outputs
Outputs from BMC Health Services Research
#5,547
of 7,622 outputs
Outputs of similar age
#146,727
of 252,704 outputs
Outputs of similar age from BMC Health Services Research
#121
of 153 outputs
Altmetric has tracked 22,765,347 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,622 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 17th percentile – i.e., 17% 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 252,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.