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Effects of multiple chronic conditions on health care costs: an analysis based on an advanced tree-based regression model

Overview of attention for article published in BMC Health Services Research, June 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
8 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
24 Dimensions

Readers on

mendeley
78 Mendeley
Title
Effects of multiple chronic conditions on health care costs: an analysis based on an advanced tree-based regression model
Published in
BMC Health Services Research, June 2013
DOI 10.1186/1472-6963-13-219
Authors

Hans-Helmut König, Hanna Leicht, Horst Bickel, Angela Fuchs, Jochen Gensichen, Wolfgang Maier, Karola Mergenthal, Steffi Riedel-Heller, Ingmar Schäfer, Gerhard Schön, Siegfried Weyerer, Birgitt Wiese, Hendrik van den Bussche, Martin Scherer, Matthias Eckardt

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters 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 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Australia 1 1%
United Kingdom 1 1%
Canada 1 1%
United States 1 1%
Unknown 73 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 18 23%
Student > Ph. D. Student 16 21%
Student > Master 11 14%
Student > Bachelor 6 8%
Professor 5 6%
Other 16 21%
Unknown 6 8%
Readers by discipline Count As %
Medicine and Dentistry 23 29%
Social Sciences 13 17%
Nursing and Health Professions 5 6%
Mathematics 5 6%
Computer Science 5 6%
Other 18 23%
Unknown 9 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 18 June 2013.
All research outputs
#1,569,942
of 7,899,358 outputs
Outputs from BMC Health Services Research
#809
of 2,963 outputs
Outputs of similar age
#24,877
of 123,669 outputs
Outputs of similar age from BMC Health Services Research
#40
of 108 outputs
Altmetric has tracked 7,899,358 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,963 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has gotten more attention than average, scoring higher than 72% 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 123,669 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 79% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.