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The influence of social networks on self-management support: a metasynthesis

Overview of attention for article published in BMC Public Health, July 2014
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets
twitter
34 X users

Citations

dimensions_citation
161 Dimensions

Readers on

mendeley
249 Mendeley
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Title
The influence of social networks on self-management support: a metasynthesis
Published in
BMC Public Health, July 2014
DOI 10.1186/1471-2458-14-719
Pubmed ID
Authors

Ivaylo Vassilev, Anne Rogers, Anne Kennedy, Jan Koetsenruijter

Abstract

There is increasing recognition that chronic illness management (CIM) is not just an individual but a collective process where social networks can potentially make a considerable contribution to improving health outcomes for people with chronic illness. However, the mechanisms (processes, activities) taking place within social networks are insufficiently understood. The aim of this review was to focus on identifying the mechanisms linking social networks with CIM. Here we consider network mechanisms as located within a broader social context that shapes practices, behaviours, and the multiplicity of functions and roles that network members fulfil.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 249 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Netherlands 1 <1%
Unknown 244 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 19%
Researcher 32 13%
Student > Master 32 13%
Student > Bachelor 22 9%
Student > Doctoral Student 17 7%
Other 57 23%
Unknown 42 17%
Readers by discipline Count As %
Social Sciences 49 20%
Medicine and Dentistry 47 19%
Nursing and Health Professions 35 14%
Psychology 27 11%
Agricultural and Biological Sciences 7 3%
Other 35 14%
Unknown 49 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 39. 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 21 May 2019.
All research outputs
#1,059,251
of 25,517,918 outputs
Outputs from BMC Public Health
#1,179
of 17,663 outputs
Outputs of similar age
#10,239
of 241,860 outputs
Outputs of similar age from BMC Public Health
#26
of 294 outputs
Altmetric has tracked 25,517,918 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,663 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done particularly well, scoring higher than 93% 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 241,860 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 294 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 91% of its contemporaries.