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arriba-lib: evaluation of an electronic library of decision aids in primary care physicians

Overview of attention for article published in BMC Medical Informatics and Decision Making, June 2012
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  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

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6 X users

Citations

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11 Dimensions

Readers on

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68 Mendeley
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1 CiteULike
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Title
arriba-lib: evaluation of an electronic library of decision aids in primary care physicians
Published in
BMC Medical Informatics and Decision Making, June 2012
DOI 10.1186/1472-6947-12-48
Pubmed ID
Authors

Oliver Hirsch, Heidemarie Keller, Tanja Krones, Norbert Donner-Banzhoff

Abstract

The successful implementation of decision aids in clinical practice initially depends on how clinicians perceive them. Relatively little is known about the acceptance of decision aids by physicians and factors influencing the implementation of decision aids from their point of view. Our electronic library of decision aids (arriba-lib) is to be used within the encounter and has a modular structure containing evidence-based decision aids for the following topics: cardiovascular prevention, atrial fibrillation, coronary heart disease, oral antidiabetics, conventional and intensified insulin therapy, and unipolar depression. The aim of our study was to evaluate the acceptance of arriba-lib in primary care physicians.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Netherlands 1 1%
Canada 1 1%
Unknown 65 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 19%
Researcher 11 16%
Student > Master 7 10%
Student > Doctoral Student 7 10%
Student > Bachelor 5 7%
Other 14 21%
Unknown 11 16%
Readers by discipline Count As %
Medicine and Dentistry 19 28%
Psychology 9 13%
Social Sciences 8 12%
Nursing and Health Professions 5 7%
Computer Science 4 6%
Other 7 10%
Unknown 16 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 27 June 2012.
All research outputs
#13,044,486
of 23,340,595 outputs
Outputs from BMC Medical Informatics and Decision Making
#871
of 2,022 outputs
Outputs of similar age
#90,121
of 168,252 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 47 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,022 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 56% of its peers.
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 168,252 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 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 59% of its contemporaries.