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Development and pilot testing of a decision aid for drivers with dementia

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2014
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Mentioned by

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3 X users

Citations

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26 Dimensions

Readers on

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75 Mendeley
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Title
Development and pilot testing of a decision aid for drivers with dementia
Published in
BMC Medical Informatics and Decision Making, March 2014
DOI 10.1186/1472-6947-14-19
Pubmed ID
Authors

John Carmody, Jan Potter, Kate Lewis, Sanjay Bhargava, Victoria Traynor, Don Iverson

Abstract

An increasing number of older adults drive automobiles. Given that the prevalence of dementia is rising, it is necessary to address the issue of driving retirement. The purpose of this study is to evaluate how a self-administered decision aid contributed to decision making about driving retirement by individuals living with dementia. The primary outcome measure in this study was decisional conflict. Knowledge, decision, satisfaction with decision, booklet use and booklet acceptability were the secondary outcome measures.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 1%
Switzerland 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 13 17%
Student > Ph. D. Student 12 16%
Professor 4 5%
Other 3 4%
Other 10 13%
Unknown 19 25%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Nursing and Health Professions 9 12%
Social Sciences 7 9%
Psychology 5 7%
Agricultural and Biological Sciences 3 4%
Other 10 13%
Unknown 24 32%
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 21 July 2015.
All research outputs
#14,192,580
of 22,749,166 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,100
of 1,985 outputs
Outputs of similar age
#118,349
of 223,385 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#13
of 26 outputs
Altmetric has tracked 22,749,166 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 1,985 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 223,385 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.