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Tailored implementation for chronic diseases (TICD): A project protocol

Overview of attention for article published in Implementation Science, September 2011
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1 X user

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Title
Tailored implementation for chronic diseases (TICD): A project protocol
Published in
Implementation Science, September 2011
DOI 10.1186/1748-5908-6-103
Pubmed ID
Authors

Michel Wensing, Andy Oxman, Richard Baker, Maciek Godycki-Cwirko, Signe Flottorp, Joachim Szecsenyi, Jeremy Grimshaw, Martin Eccles

Abstract

The assumption underlying tailoring is that implementation interventions are most helpful if these effectively address the most important determinants of practice for improvement in the targeted setting. The aim of the Tailored Implementation For Chronic Diseases (TICD) project is to develop valid and efficient methods of tailoring implementation interventions to determinants of practice for knowledge implementation in chronic illness care.

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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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 1%
Spain 1 <1%
United States 1 <1%
Unknown 146 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 19%
Researcher 29 19%
Student > Master 23 15%
Student > Postgraduate 10 7%
Student > Doctoral Student 7 5%
Other 34 23%
Unknown 18 12%
Readers by discipline Count As %
Medicine and Dentistry 46 31%
Nursing and Health Professions 19 13%
Social Sciences 14 9%
Psychology 14 9%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Other 23 15%
Unknown 29 19%
Attention Score in Context

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 18 March 2014.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from Implementation Science
#1,556
of 1,721 outputs
Outputs of similar age
#88,016
of 125,839 outputs
Outputs of similar age from Implementation Science
#18
of 27 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,721 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 5th percentile – i.e., 5% 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 125,839 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.