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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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
9 X users

Citations

dimensions_citation
160 Dimensions

Readers on

mendeley
240 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 240 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
United States 2 <1%
Sweden 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Australia 1 <1%
Unknown 232 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 40 17%
Researcher 31 13%
Student > Ph. D. Student 30 13%
Other 16 7%
Student > Doctoral Student 14 6%
Other 51 21%
Unknown 58 24%
Readers by discipline Count As %
Medicine and Dentistry 61 25%
Psychology 27 11%
Social Sciences 18 8%
Nursing and Health Professions 17 7%
Agricultural and Biological Sciences 6 3%
Other 42 18%
Unknown 69 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 June 2023.
All research outputs
#2,587,224
of 23,873,054 outputs
Outputs from BMC Medical Informatics and Decision Making
#179
of 2,049 outputs
Outputs of similar age
#30,340
of 314,510 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 43 outputs
Altmetric has tracked 23,873,054 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,049 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% 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 314,510 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 43 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.