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A Decision Aid for COPD patients considering inhaled steroid therapy: development and before and after pilot testing

Overview of attention for article published in BMC Medical Informatics and Decision Making, May 2007
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Mentioned by

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2 X users

Citations

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23 Dimensions

Readers on

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62 Mendeley
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1 CiteULike
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Title
A Decision Aid for COPD patients considering inhaled steroid therapy: development and before and after pilot testing
Published in
BMC Medical Informatics and Decision Making, May 2007
DOI 10.1186/1472-6947-7-12
Pubmed ID
Authors

Elie A Akl, Brydon JB Grant, Gordon H Guyatt, Victor M Montori, Holger J Schünemann

Abstract

Decision aids (DA) are tools designed to help patients make specific and deliberative choices among disease management options. DAs can improve the quality of decision-making and reduce decisional conflict. An area not covered by a DA is the decision of a patient with chronic obstructive pulmonary disease (COPD) to use inhaled steroids which requires balancing the benefits and downsides of therapy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 2 3%
Switzerland 1 2%
Colombia 1 2%
United Kingdom 1 2%
United States 1 2%
Unknown 56 90%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 18%
Researcher 9 15%
Student > Ph. D. Student 8 13%
Other 6 10%
Professor > Associate Professor 4 6%
Other 11 18%
Unknown 13 21%
Readers by discipline Count As %
Medicine and Dentistry 16 26%
Psychology 6 10%
Business, Management and Accounting 5 8%
Social Sciences 4 6%
Computer Science 4 6%
Other 11 18%
Unknown 16 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 July 2019.
All research outputs
#14,860,995
of 23,770,218 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,125
of 2,023 outputs
Outputs of similar age
#62,603
of 73,370 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#4
of 5 outputs
Altmetric has tracked 23,770,218 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,023 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 73,370 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.