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Do personal stories make patient decision aids more effective? A critical review of theory and evidence

Overview of attention for article published in BMC Medical Informatics and Decision Making, November 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
79 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Do personal stories make patient decision aids more effective? A critical review of theory and evidence
Published in
BMC Medical Informatics and Decision Making, November 2013
DOI 10.1186/1472-6947-13-s2-s9
Pubmed ID
Authors

Hilary L Bekker, Anna E Winterbottom, Phyllis Butow, Amanda J Dillard, Deb Feldman-Stewart, Floyd J Fowler, Maria L Jibaja-Weiss, Victoria A Shaffer, Robert J Volk

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
Sweden 1 <1%
Australia 1 <1%
Spain 1 <1%
Switzerland 1 <1%
Unknown 136 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 34 24%
Student > Ph. D. Student 22 15%
Researcher 20 14%
Other 12 8%
Professor 9 6%
Other 35 24%
Unknown 12 8%
Readers by discipline Count As %
Medicine and Dentistry 45 31%
Psychology 22 15%
Nursing and Health Professions 15 10%
Social Sciences 11 8%
Agricultural and Biological Sciences 5 3%
Other 23 16%
Unknown 23 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 10 April 2016.
All research outputs
#2,776,197
of 12,409,138 outputs
Outputs from BMC Medical Informatics and Decision Making
#277
of 1,122 outputs
Outputs of similar age
#44,428
of 225,331 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#59
of 160 outputs
Altmetric has tracked 12,409,138 research outputs across all sources so far. Compared to these this one has done well and is in the 77th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,122 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 75% 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 225,331 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 160 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 62% of its contemporaries.