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X Demographics
Mendeley readers
Attention Score in Context
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. |
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 64 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 | 59 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 20% |
Researcher | 12 | 19% |
Professor > Associate Professor | 9 | 14% |
Student > Ph. D. Student | 9 | 14% |
Librarian | 3 | 5% |
Other | 13 | 20% |
Unknown | 5 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 25% |
Social Sciences | 8 | 13% |
Computer Science | 5 | 8% |
Engineering | 5 | 8% |
Nursing and Health Professions | 4 | 6% |
Other | 17 | 27% |
Unknown | 9 | 14% |
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
#18,306,425
of 22,665,794 outputs
Outputs from Implementation Science
#1,639
of 1,717 outputs
Outputs of similar age
#149,960
of 163,876 outputs
Outputs of similar age from Implementation Science
#10
of 13 outputs
Altmetric has tracked 22,665,794 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 1,717 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 1st percentile – i.e., 1% 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 163,876 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.