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Delivering stepped care: an analysis of implementation in routine practice

Overview of attention for article published in Implementation Science, January 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
74 Dimensions

Readers on

mendeley
156 Mendeley
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Title
Delivering stepped care: an analysis of implementation in routine practice
Published in
Implementation Science, January 2012
DOI 10.1186/1748-5908-7-3
Pubmed ID
Authors

David A Richards, Peter Bower, Christina Pagel, Alice Weaver, Martin Utley, John Cape, Steve Pilling, Karina Lovell, Simon Gilbody, Judy Leibowitz, Lilian Owens, Roger Paxton, Sue Hennessy, Angela Simpson, Steve Gallivan, David Tomson, Christos Vasilakis

Abstract

In the United Kingdom, clinical guidelines recommend that services for depression and anxiety should be structured around a stepped care model, where patients receive treatment at different 'steps,' with the intensity of treatment (i.e., the amount and type) increasing at each step if they fail to benefit at previous steps. There are very limited data available on the implementation of this model, particularly on the intensity of psychological treatment at each step. Our objective was to describe patient pathways through stepped care services and the impact of this on patient flow and management.

Twitter Demographics

The data shown below were collected from the profiles of 6 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 156 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
Netherlands 1 <1%
Australia 1 <1%
Sierra Leone 1 <1%
United States 1 <1%
Unknown 148 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 34 22%
Student > Ph. D. Student 26 17%
Student > Master 26 17%
Student > Doctoral Student 13 8%
Other 11 7%
Other 31 20%
Unknown 15 10%
Readers by discipline Count As %
Psychology 64 41%
Medicine and Dentistry 29 19%
Social Sciences 11 7%
Nursing and Health Professions 11 7%
Neuroscience 3 2%
Other 14 9%
Unknown 24 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 21 February 2012.
All research outputs
#3,384,137
of 13,119,551 outputs
Outputs from Implementation Science
#850
of 1,368 outputs
Outputs of similar age
#47,727
of 212,871 outputs
Outputs of similar age from Implementation Science
#6
of 16 outputs
Altmetric has tracked 13,119,551 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,368 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. This one is in the 37th percentile – i.e., 37% 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 212,871 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 76% of its contemporaries.
We're also able to compare this research output to 16 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.