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Concepts of social epidemiology in health services research

Overview of attention for article published in BMC Health Services Research, September 2015
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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27 X users

Citations

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23 Dimensions

Readers on

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155 Mendeley
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Title
Concepts of social epidemiology in health services research
Published in
BMC Health Services Research, September 2015
DOI 10.1186/s12913-015-1020-z
Pubmed ID
Authors

Olaf von dem Knesebeck

Abstract

Social epidemiologists aim to identify social characteristics that affect the pattern of disease and health distribution in a society and to understand its mechanisms. Some important concepts of social epidemiology are: social inequalities, social relationships, social capital, and work stress. Concepts used in social epidemiology can make a useful contribution to health services research because the underlying social factors do not only influence health but are also related to health care. Social inequality indicators like education or income have an impact on access to health care as well as on utilization and quality of health care. Social relationships influence adherence to medical treatment, help-seeking behavior, utilization of health services, and outcomes. Social capital in health care organizations is an important factor for the delivery of high-quality coordinated care. Job stress is highly prevalent among health care providers and can not only affect their health but also their performance. The theoretical considerations behind factors like social inequalities, social relationships, social capital and work stress can enrich health services research because theory helps to specify the research question, to clarify methodological issues, to understand how social factors are related to health care, and to develop and implement interventions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 27 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 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 <1%
Unknown 154 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 25 16%
Student > Ph. D. Student 22 14%
Researcher 17 11%
Student > Bachelor 16 10%
Student > Doctoral Student 12 8%
Other 28 18%
Unknown 35 23%
Readers by discipline Count As %
Nursing and Health Professions 29 19%
Medicine and Dentistry 25 16%
Social Sciences 25 16%
Psychology 6 4%
Agricultural and Biological Sciences 5 3%
Other 17 11%
Unknown 48 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 05 April 2020.
All research outputs
#2,384,859
of 24,396,012 outputs
Outputs from BMC Health Services Research
#977
of 8,232 outputs
Outputs of similar age
#31,521
of 271,813 outputs
Outputs of similar age from BMC Health Services Research
#15
of 146 outputs
Altmetric has tracked 24,396,012 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,232 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has done well, scoring higher than 88% 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 271,813 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.