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Words or numbers? Communicating risk of adverse effects in written consumer health information: a systematic review and meta-analysis

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2014
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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 (#20 of 1,447)
  • High Attention Score compared to outputs of the same age (96th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
50 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
72 Mendeley
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Title
Words or numbers? Communicating risk of adverse effects in written consumer health information: a systematic review and meta-analysis
Published in
BMC Medical Informatics and Decision Making, August 2014
DOI 10.1186/1472-6947-14-76
Pubmed ID
Authors

Roland Brian Büchter, Dennis Fechtelpeter, Marco Knelangen, Martina Ehrlich, Andreas Waltering

Abstract

Various types of framing can influence risk perceptions, which may have an impact on treatment decisions and adherence. One way of framing is the use of verbal terms in communicating the probabilities of treatment effects. We systematically reviewed the comparative effects of words versus numbers in communicating the probability of adverse effects to consumers in written health information.

Twitter Demographics

The data shown below were collected from the profiles of 50 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 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 6%
Germany 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 22%
Student > Ph. D. Student 15 21%
Student > Master 9 13%
Other 7 10%
Student > Doctoral Student 5 7%
Other 12 17%
Unknown 8 11%
Readers by discipline Count As %
Medicine and Dentistry 23 32%
Psychology 11 15%
Social Sciences 4 6%
Agricultural and Biological Sciences 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 14 19%
Unknown 14 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 December 2016.
All research outputs
#526,695
of 15,895,594 outputs
Outputs from BMC Medical Informatics and Decision Making
#20
of 1,447 outputs
Outputs of similar age
#7,608
of 202,604 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 1 outputs
Altmetric has tracked 15,895,594 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,447 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 98% 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 202,604 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 96% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them