Title |
Acceptability of participatory social network analysis for problem-solving in Australian Aboriginal health service partnerships
|
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Published in |
BMC Health Services Research, June 2012
|
DOI | 10.1186/1472-6963-12-152 |
Pubmed ID | |
Authors |
Jeffrey Fuller, Wendy Hermeston, Megan Passey, Tony Fallon, Kuda Muyambi |
Abstract |
While participatory social network analysis can help health service partnerships to solve problems, little is known about its acceptability in cross-cultural settings. We conducted two case studies of chronic illness service partnerships in 2007 and 2008 to determine whether participatory research incorporating social network analysis is acceptable for problem-solving in Australian Aboriginal health service delivery. |
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 % |
---|---|---|
Turkey | 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Germany | 1 | 1% |
Canada | 1 | 1% |
Brazil | 1 | 1% |
Unknown | 78 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 18% |
Student > Master | 12 | 15% |
Other | 8 | 10% |
Researcher | 8 | 10% |
Student > Bachelor | 5 | 6% |
Other | 16 | 20% |
Unknown | 18 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 17 | 21% |
Medicine and Dentistry | 15 | 18% |
Nursing and Health Professions | 9 | 11% |
Psychology | 5 | 6% |
Computer Science | 3 | 4% |
Other | 9 | 11% |
Unknown | 24 | 29% |
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 11 June 2012.
All research outputs
#15,245,883
of 22,668,244 outputs
Outputs from BMC Health Services Research
#5,523
of 7,576 outputs
Outputs of similar age
#106,382
of 166,923 outputs
Outputs of similar age from BMC Health Services Research
#73
of 94 outputs
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