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Social support systems as determinants of self-management and quality of life of people with diabetes across Europe: study protocol for an observational study

Overview of attention for article published in Health and Quality of Life Outcomes, January 2014
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Mentioned by

twitter
1 tweeter

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
148 Mendeley
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Title
Social support systems as determinants of self-management and quality of life of people with diabetes across Europe: study protocol for an observational study
Published in
Health and Quality of Life Outcomes, January 2014
DOI 10.1186/1477-7525-12-29
Pubmed ID
Authors

Jan Koetsenruijter, Jan van Lieshout, Ivaylo Vassilev, Mari Portillo, Manuel Serrano, Ingrid Knutsen, Poli Roukova, Christos Lionis, Elka Todorova, Christina Foss, Anne Rogers, Michel Wensing

Abstract

Long-term conditions pose major challenges for healthcare systems. Optimizing self-management of people with long-term conditions is an important strategy to improve quality of life, health outcomes, patient experiences in healthcare, and the sustainability of healthcare systems. Much research on self-management focuses on individual competencies, while the social systems of support that facilitate self-management are underexplored. The presented study aims to explore the role of social systems of support for self-management and quality of life, focusing on the social networks of people with diabetes and community organisations that serve them.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Denmark 1 <1%
Unknown 145 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 18%
Student > Ph. D. Student 25 17%
Researcher 21 14%
Student > Doctoral Student 17 11%
Student > Bachelor 14 9%
Other 23 16%
Unknown 22 15%
Readers by discipline Count As %
Medicine and Dentistry 35 24%
Nursing and Health Professions 31 21%
Social Sciences 17 11%
Psychology 17 11%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 19 13%
Unknown 25 17%

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 06 March 2014.
All research outputs
#14,367,187
of 21,364,317 outputs
Outputs from Health and Quality of Life Outcomes
#1,255
of 2,106 outputs
Outputs of similar age
#118,094
of 201,877 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#1
of 1 outputs
Altmetric has tracked 21,364,317 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 2,106 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 33rd percentile – i.e., 33% 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 201,877 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them