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Decision boxes for clinicians to support evidence-based practice and shared decision making: the user experience

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

  • Good Attention Score compared to outputs of the same age (75th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

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9 X users
googleplus
1 Google+ user

Citations

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51 Dimensions

Readers on

mendeley
182 Mendeley
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Title
Decision boxes for clinicians to support evidence-based practice and shared decision making: the user experience
Published in
Implementation Science, August 2012
DOI 10.1186/1748-5908-7-72
Pubmed ID
Authors

Anik Giguere, France Légaré, Roland Grad, Pierre Pluye, R Brian Haynes, Michel Cauchon, François Rousseau, Juliana Alvarez Argote, Michel Labrecque

Abstract

This project engages patients and physicians in the development of Decision Boxes, short clinical topic summaries covering medical questions that have no single best answer. Decision Boxes aim to prepare the clinician to communicate the risks and benefits of the available options to the patient so they can make an informed decision together.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 182 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 1%
United Kingdom 2 1%
United States 2 1%
Spain 1 <1%
Brazil 1 <1%
Unknown 174 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 14%
Student > Master 23 13%
Researcher 22 12%
Student > Doctoral Student 21 12%
Student > Bachelor 16 9%
Other 37 20%
Unknown 37 20%
Readers by discipline Count As %
Medicine and Dentistry 42 23%
Social Sciences 26 14%
Psychology 15 8%
Nursing and Health Professions 13 7%
Computer Science 9 5%
Other 27 15%
Unknown 50 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 16 December 2013.
All research outputs
#6,318,221
of 25,262,379 outputs
Outputs from Implementation Science
#1,014
of 1,795 outputs
Outputs of similar age
#41,469
of 170,706 outputs
Outputs of similar age from Implementation Science
#15
of 37 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 1,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 42nd percentile – i.e., 42% 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 170,706 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 75% of its contemporaries.
We're also able to compare this research output to 37 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.