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The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. first results from the multicare cohort study

Overview of attention for article published in BMC Health Services Research, April 2012
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Title
The influence of age, gender and socio-economic status on multimorbidity patterns in primary care. first results from the multicare cohort study
Published in
BMC Health Services Research, April 2012
DOI 10.1186/1472-6963-12-89
Pubmed ID
Authors

Ingmar Schäfer, Heike Hansen, Gerhard Schön, Susanne Höfels, Attila Altiner, Anne Dahlhaus, Jochen Gensichen, Steffi Riedel-Heller, Siegfried Weyerer, Wolfgang A Blank, Hans-Helmut König, Olaf von dem Knesebeck, Karl Wegscheider, Martin Scherer, Hendrik van den Bussche, Birgitt Wiese

Abstract

Multimorbidity is a phenomenon with high burden and high prevalence in the elderly. Our previous research has shown that multimorbidity can be divided into the multimorbidity patterns of 1) anxiety, depression, somatoform disorders (ADS) and pain, and 2) cardiovascular and metabolic disorders. However, it is not yet known, how these patterns are influenced by patient characteristics. The objective of this paper is to analyze the association of socio-demographic variables, and especially socio-economic status with multimorbidity in general and with each multimorbidity pattern.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 370 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 3 <1%
United States 2 <1%
Canada 2 <1%
France 1 <1%
Brazil 1 <1%
Switzerland 1 <1%
Bangladesh 1 <1%
India 1 <1%
Russia 1 <1%
Other 1 <1%
Unknown 356 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 17%
Student > Ph. D. Student 54 15%
Student > Master 53 14%
Student > Bachelor 30 8%
Student > Doctoral Student 26 7%
Other 70 19%
Unknown 75 20%
Readers by discipline Count As %
Medicine and Dentistry 129 35%
Social Sciences 34 9%
Nursing and Health Professions 27 7%
Psychology 19 5%
Economics, Econometrics and Finance 12 3%
Other 50 14%
Unknown 99 27%
Attention Score in Context

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 April 2012.
All research outputs
#18,305,445
of 22,664,267 outputs
Outputs from BMC Health Services Research
#6,426
of 7,574 outputs
Outputs of similar age
#124,244
of 161,135 outputs
Outputs of similar age from BMC Health Services Research
#54
of 63 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,574 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 6th percentile – i.e., 6% 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 161,135 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 63 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.