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Acceptability of participatory social network analysis for problem-solving in Australian Aboriginal health service partnerships

Overview of attention for article published in BMC Health Services Research, June 2012
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Title
Acceptability of participatory social network analysis for problem-solving in Australian Aboriginal health service partnerships
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.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 81 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 77 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 19%
Student > Master 12 15%
Other 8 10%
Researcher 8 10%
Student > Bachelor 5 6%
Other 16 20%
Unknown 17 21%
Readers by discipline Count As %
Social Sciences 17 21%
Medicine and Dentistry 15 19%
Nursing and Health Professions 9 11%
Psychology 5 6%
Computer Science 3 4%
Other 9 11%
Unknown 23 28%
Attention Score in Context

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
Altmetric has tracked 22,668,244 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 7,576 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. 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 166,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.