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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 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 | 57 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 17% |
Researcher | 9 | 14% |
Student > Ph. D. Student | 8 | 13% |
Other | 6 | 10% |
Professor > Associate Professor | 4 | 6% |
Other | 12 | 19% |
Unknown | 13 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 16 | 25% |
Psychology | 6 | 10% |
Business, Management and Accounting | 5 | 8% |
Social Sciences | 4 | 6% |
Computer Science | 4 | 6% |
Other | 12 | 19% |
Unknown | 16 | 25% |
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.