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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Differences in primary health care delivery to Australia’s Indigenous population: a template for use in economic evaluations
|
|---|---|
| Published in |
BMC Health Services Research, September 2012
|
| DOI | 10.1186/1472-6963-12-307 |
| Pubmed ID | |
| Authors |
Katherine S Ong, Rob Carter, Margaret Kelaher, Ian Anderson |
| Abstract |
Health economics is increasingly used to inform resource allocation decision-making, however, there is comparatively little evidence relevant to minority groups. In part, this is due to lack of cost and effectiveness data specific to these groups upon which economic evaluations can be based. Consequently, resource allocation decisions often rely on mainstream evidence which may not be representative, resulting in inequitable funding decisions. This paper describes a method to overcome this deficiency for Australia's Indigenous population. A template has been developed which can adapt mainstream health intervention data to the Indigenous setting. |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 50% |
| United Kingdom | 2 | 25% |
| Italy | 1 | 13% |
| Unknown | 1 | 13% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 88% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 2% |
| Canada | 2 | 2% |
| Brazil | 1 | <1% |
| Unknown | 99 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 15% |
| Student > Ph. D. Student | 12 | 12% |
| Student > Postgraduate | 9 | 9% |
| Researcher | 7 | 7% |
| Student > Bachelor | 7 | 7% |
| Other | 19 | 18% |
| Unknown | 34 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 21% |
| Social Sciences | 13 | 13% |
| Nursing and Health Professions | 7 | 7% |
| Agricultural and Biological Sciences | 4 | 4% |
| Environmental Science | 4 | 4% |
| Other | 16 | 15% |
| Unknown | 38 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 December 2021.
All research outputs
#6,396,416
of 24,289,456 outputs
Outputs from BMC Health Services Research
#2,962
of 8,186 outputs
Outputs of similar age
#43,721
of 171,771 outputs
Outputs of similar age from BMC Health Services Research
#23
of 109 outputs
Altmetric has tracked 24,289,456 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 8,186 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 63% 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 171,771 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 74% of its contemporaries.
We're also able to compare this research output to 109 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.