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Factors associated with the impact of quality improvement collaboratives in mental healthcare: An exploratory study

Overview of attention for article published in Implementation Science, January 2012
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1 tweeter

Citations

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122 Dimensions

Readers on

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143 Mendeley
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Title
Factors associated with the impact of quality improvement collaboratives in mental healthcare: An exploratory study
Published in
Implementation Science, January 2012
DOI 10.1186/1748-5908-7-1
Pubmed ID
Authors

Marleen H Versteeg, Miranda GH Laurant, Gerdien C Franx, Annelies J Jacobs, Michel JP Wensing

Abstract

Quality improvement collaboratives (QICs) bring together groups of healthcare professionals to work in a structured manner to improve the quality of healthcare delivery within particular domains. We explored which characteristics of the composition, participation, functioning, and organization of these collaboratives related to changes in the healthcare for patients with anxiety disorders, dual diagnosis, or schizophrenia.

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

Geographical breakdown

Country Count As %
United States 5 3%
Spain 1 <1%
Netherlands 1 <1%
Unknown 136 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 17%
Student > Ph. D. Student 24 17%
Student > Master 24 17%
Student > Doctoral Student 12 8%
Student > Bachelor 9 6%
Other 33 23%
Unknown 16 11%
Readers by discipline Count As %
Medicine and Dentistry 35 24%
Psychology 24 17%
Nursing and Health Professions 22 15%
Social Sciences 15 10%
Business, Management and Accounting 11 8%
Other 15 10%
Unknown 21 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 07 May 2012.
All research outputs
#13,566,145
of 15,375,002 outputs
Outputs from Implementation Science
#1,446
of 1,474 outputs
Outputs of similar age
#110,256
of 125,783 outputs
Outputs of similar age from Implementation Science
#19
of 19 outputs
Altmetric has tracked 15,375,002 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,474 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. 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 125,783 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 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.