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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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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
64 tweeters
facebook
3 Facebook pages

Citations

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36 Dimensions

Readers on

mendeley
168 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 64 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 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 168 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 17%
Student > Ph. D. Student 27 16%
Researcher 20 12%
Student > Bachelor 14 8%
Student > Doctoral Student 13 8%
Other 30 18%
Unknown 35 21%
Readers by discipline Count As %
Social Sciences 34 20%
Business, Management and Accounting 17 10%
Nursing and Health Professions 16 10%
Medicine and Dentistry 12 7%
Psychology 8 5%
Other 39 23%
Unknown 42 25%

Attention Score in Context

This research output has an Altmetric Attention Score of 42. 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
#813,462
of 22,534,435 outputs
Outputs from Social Science & Medicine
#790
of 10,853 outputs
Outputs of similar age
#20,647
of 424,539 outputs
Outputs of similar age from Social Science & Medicine
#13
of 115 outputs
Altmetric has tracked 22,534,435 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 10,853 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.6. This one has done particularly well, scoring higher than 92% 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 424,539 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 95% of its contemporaries.
We're also able to compare this research output to 115 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.