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Conceptualising the public health role of actors operating outside of formal health systems: The case of social enterprise

Overview of attention for article published in Social Science & Medicine, January 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

policy
1 policy source
twitter
69 tweeters
facebook
3 Facebook pages

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Conceptualising the public health role of actors operating outside of formal health systems: The case of social enterprise
Published in
Social Science & Medicine, January 2017
DOI 10.1016/j.socscimed.2016.11.009
Pubmed ID
Authors

Michael J. Roy, Rachel Baker, Susan Kerr

Abstract

This paper focuses on the role of actors that operate outside formal health systems, but nevertheless have a vital, if often under-recognised, role in supporting public health. The specific example used is the 'social enterprise', an organisation that seeks, through trading, to maximise social returns, rather than the distribution of profits to shareholders or owners. In this paper we advance empirical and theoretical understanding of the causal pathways at work in social enterprises, by considering them as a particularly complex form of public health 'intervention'. Data were generated through qualitative, in depth, semi-structured interviews and a focus group discussion, with a purposive, maximum variation sample of social enterprise practitioners (n = 13) in an urban setting in the west of Scotland. A method of analysis inspired by critical realism - Causation Coding - enabled the identification of a range of explanatory mechanisms and potential pathways of causation between engagement in social enterprise-led activity and various outcomes, which have been grouped into physical health, mental health and social determinants. The findings then informed the construction of an empirically-informed conceptual model to act as a platform upon which to develop a future research agenda. The results of this work are considered to not only encourage a broader and more imaginative consideration of what actually constitutes a public health intervention, but also reinforces arguments that actors within the Third Sector have an important role to play in addressing contemporary and future public health challenges.

Twitter Demographics

The data shown below were collected from the profiles of 69 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 18%
Student > Ph. D. Student 26 18%
Researcher 20 14%
Student > Doctoral Student 12 8%
Student > Bachelor 11 8%
Other 26 18%
Unknown 23 16%
Readers by discipline Count As %
Social Sciences 32 22%
Business, Management and Accounting 17 12%
Nursing and Health Professions 12 8%
Medicine and Dentistry 11 8%
Psychology 8 6%
Other 33 23%
Unknown 31 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 47. 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 09 July 2020.
All research outputs
#598,959
of 19,046,601 outputs
Outputs from Social Science & Medicine
#569
of 10,055 outputs
Outputs of similar age
#15,959
of 302,219 outputs
Outputs of similar age from Social Science & Medicine
#12
of 122 outputs
Altmetric has tracked 19,046,601 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,055 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.6. This one has done particularly well, scoring higher than 94% 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 302,219 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 94% of its contemporaries.
We're also able to compare this research output to 122 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.