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Information exchange networks for chronic illness care in primary care practices: an observational study

Overview of attention for article published in Implementation Science, January 2010
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Mentioned by

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1 tweeter

Citations

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27 Dimensions

Readers on

mendeley
62 Mendeley
citeulike
2 CiteULike
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2 Connotea
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Title
Information exchange networks for chronic illness care in primary care practices: an observational study
Published in
Implementation Science, January 2010
DOI 10.1186/1748-5908-5-3
Pubmed ID
Authors

Michel Wensing, Jan van Lieshout, Jan Koetsenruiter, David Reeves

Abstract

Information exchange networks for chronic illness care may influence the uptake of innovations in patient care. Valid and feasible methods are needed to document and analyse information exchange networks in healthcare settings. This observational study aimed to examine the usefulness of methods to study information exchange networks in primary care practices, related to chronic heart failure, diabetes and chronic obstructive pulmonary disease.

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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
United Kingdom 1 2%
Unknown 57 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 21%
Researcher 12 19%
Professor > Associate Professor 9 15%
Student > Ph. D. Student 9 15%
Professor 3 5%
Other 11 18%
Unknown 5 8%
Readers by discipline Count As %
Medicine and Dentistry 15 24%
Social Sciences 8 13%
Computer Science 5 8%
Engineering 5 8%
Nursing and Health Professions 4 6%
Other 16 26%
Unknown 9 15%

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 10 May 2012.
All research outputs
#10,361,225
of 12,986,898 outputs
Outputs from Implementation Science
#1,290
of 1,354 outputs
Outputs of similar age
#85,053
of 120,137 outputs
Outputs of similar age from Implementation Science
#30
of 31 outputs
Altmetric has tracked 12,986,898 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 1,354 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.7. This one is in the 2nd percentile – i.e., 2% 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 120,137 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 31 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.