↓ Skip to main content

Does Multimorbidity Influence the Occurrence Rates of Chronic Conditions? A Claims Data Based Comparison of Expected and Observed Prevalence Rates

Overview of attention for article published in PLOS ONE, September 2012
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 X users

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
55 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Does Multimorbidity Influence the Occurrence Rates of Chronic Conditions? A Claims Data Based Comparison of Expected and Observed Prevalence Rates
Published in
PLOS ONE, September 2012
DOI 10.1371/journal.pone.0045390
Pubmed ID
Authors

Ingmar Schäfer

Abstract

Multimorbidity is a complex phenomenon with an almost endless number of possible disease combinations with unclear implications. One important aspect in analyzing the clustering of diseases is to distinguish between random coexistence and statistical dependency. We developed a model to account for random coexistence based on stochastic distribution. We analyzed if the number of diseases of the patients influences the occurrence rates of chronic conditions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 4%
United States 1 2%
Germany 1 2%
Brazil 1 2%
Unknown 50 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 31%
Student > Ph. D. Student 10 18%
Student > Master 7 13%
Other 3 5%
Student > Postgraduate 3 5%
Other 9 16%
Unknown 6 11%
Readers by discipline Count As %
Medicine and Dentistry 23 42%
Social Sciences 5 9%
Agricultural and Biological Sciences 4 7%
Nursing and Health Professions 3 5%
Psychology 2 4%
Other 6 11%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 September 2012.
All research outputs
#16,237,186
of 25,654,806 outputs
Outputs from PLOS ONE
#144,860
of 223,967 outputs
Outputs of similar age
#116,380
of 189,681 outputs
Outputs of similar age from PLOS ONE
#2,471
of 4,335 outputs
Altmetric has tracked 25,654,806 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 223,967 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 32nd percentile – i.e., 32% 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 189,681 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,335 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.