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Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers

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 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#14 of 1,883)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
4 policy sources
twitter
45 tweeters

Citations

dimensions_citation
336 Dimensions

Readers on

mendeley
413 Mendeley
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Title
Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers
Published in
BMC Medical Informatics and Decision Making, November 2013
DOI 10.1186/1472-6947-13-s2-s7
Pubmed ID
Authors

Lyndal J Trevena, Brian J Zikmund-Fisher, Adrian Edwards, Wolfgang Gaissmaier, Mirta Galesic, Paul KJ Han, John King, Margaret L Lawson, Suzanne K Linder, Isaac Lipkus, Elissa Ozanne, Ellen Peters, Danielle Timmermans, Steven Woloshin

Twitter Demographics

The data shown below were collected from the profiles of 45 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 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 1%
United Kingdom 4 <1%
Italy 2 <1%
Netherlands 1 <1%
Australia 1 <1%
Germany 1 <1%
Canada 1 <1%
Switzerland 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 395 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 71 17%
Researcher 70 17%
Student > Master 65 16%
Student > Doctoral Student 30 7%
Other 28 7%
Other 89 22%
Unknown 60 15%
Readers by discipline Count As %
Medicine and Dentistry 114 28%
Psychology 41 10%
Social Sciences 33 8%
Nursing and Health Professions 24 6%
Computer Science 20 5%
Other 86 21%
Unknown 95 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 56. 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 01 June 2022.
All research outputs
#590,573
of 21,464,176 outputs
Outputs from BMC Medical Informatics and Decision Making
#14
of 1,883 outputs
Outputs of similar age
#7,093
of 304,424 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#3
of 156 outputs
Altmetric has tracked 21,464,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,883 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 99% 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 304,424 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 97% of its contemporaries.
We're also able to compare this research output to 156 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 98% of its contemporaries.