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Understanding and using comparative healthcare information; the effect of the amount of information and consumer characteristics and skills

Overview of attention for article published in BMC Medical Informatics and Decision Making, September 2012
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Citations

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23 Dimensions

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Title
Understanding and using comparative healthcare information; the effect of the amount of information and consumer characteristics and skills
Published in
BMC Medical Informatics and Decision Making, September 2012
DOI 10.1186/1472-6947-12-101
Pubmed ID
Authors

Nicolien C Zwijnenberg, Michelle Hendriks, Olga C Damman, Evelien Bloemendal, Sonja Wendel, Judith D de Jong, Jany Rademakers

Abstract

Consumers are increasingly exposed to comparative healthcare information (information about the quality of different healthcare providers). Partly because of its complexity, the use of this information has been limited. The objective of this study was to examine how the amount of presented information influences the comprehension and use of comparative healthcare information when important consumer characteristics and skills are taken into account.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
United Kingdom 2 2%
Vietnam 1 1%
Switzerland 1 1%
South Africa 1 1%
Unknown 85 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 16%
Student > Master 14 15%
Student > Ph. D. Student 12 13%
Student > Doctoral Student 7 8%
Student > Postgraduate 6 6%
Other 19 20%
Unknown 20 22%
Readers by discipline Count As %
Medicine and Dentistry 22 24%
Social Sciences 11 12%
Nursing and Health Professions 9 10%
Computer Science 6 6%
Psychology 4 4%
Other 14 15%
Unknown 27 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 April 2013.
All research outputs
#7,107,096
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#704
of 1,978 outputs
Outputs of similar age
#53,238
of 169,032 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 42 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 63% 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 169,032 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 42 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 54% of its contemporaries.