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Social Network Analysis in Healthcare Settings: A Systematic Scoping Review

Overview of attention for article published in PLOS ONE, August 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

twitter
24 X users

Citations

dimensions_citation
189 Dimensions

Readers on

mendeley
448 Mendeley
citeulike
2 CiteULike
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Title
Social Network Analysis in Healthcare Settings: A Systematic Scoping Review
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0041911
Pubmed ID
Authors

Duncan Chambers, Paul Wilson, Carl Thompson, Melissa Harden

Abstract

Social network analysis (SNA) has been widely used across a range of disciplines but is most commonly applied to help improve the effectiveness and efficiency of decision making processes in commercial organisations. We are utilising SNA to inform the development and implementation of tailored behaviour-change interventions to improve the uptake of evidence into practice in the English National Health Service. To inform this work, we conducted a systematic scoping review to identify and evaluate the use of SNA as part of an intervention to support the implementation of change in healthcare settings.

X Demographics

X Demographics

The data shown below were collected from the profiles of 24 X users 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 448 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 <1%
United States 3 <1%
Spain 3 <1%
Germany 2 <1%
France 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Other 2 <1%
Unknown 429 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 84 19%
Researcher 59 13%
Student > Master 59 13%
Student > Doctoral Student 33 7%
Other 22 5%
Other 101 23%
Unknown 90 20%
Readers by discipline Count As %
Social Sciences 79 18%
Medicine and Dentistry 75 17%
Nursing and Health Professions 38 8%
Computer Science 27 6%
Business, Management and Accounting 27 6%
Other 99 22%
Unknown 103 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 02 July 2014.
All research outputs
#1,916,493
of 23,577,761 outputs
Outputs from PLOS ONE
#24,341
of 202,084 outputs
Outputs of similar age
#12,155
of 165,979 outputs
Outputs of similar age from PLOS ONE
#392
of 4,053 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 202,084 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has done well, scoring higher than 87% 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 165,979 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 4,053 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.