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Mendeley readers
Attention Score in Context
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
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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. |
X Demographics
The data shown below were collected from the profiles of 49 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 10 | 20% |
Spain | 6 | 12% |
Netherlands | 3 | 6% |
Canada | 2 | 4% |
Germany | 2 | 4% |
Australia | 2 | 4% |
United States | 2 | 4% |
India | 2 | 4% |
Denmark | 1 | 2% |
Other | 1 | 2% |
Unknown | 18 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 29 | 59% |
Scientists | 9 | 18% |
Practitioners (doctors, other healthcare professionals) | 7 | 14% |
Science communicators (journalists, bloggers, editors) | 4 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 4 | 4% |
Germany | 1 | <1% |
Unknown | 97 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 20 | 20% |
Student > Ph. D. Student | 19 | 19% |
Student > Master | 11 | 11% |
Other | 7 | 7% |
Student > Doctoral Student | 6 | 6% |
Other | 19 | 19% |
Unknown | 20 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 25 | 25% |
Psychology | 15 | 15% |
Pharmacology, Toxicology and Pharmaceutical Science | 9 | 9% |
Social Sciences | 6 | 6% |
Nursing and Health Professions | 4 | 4% |
Other | 14 | 14% |
Unknown | 29 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 50. 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 27 November 2023.
All research outputs
#853,189
of 25,759,158 outputs
Outputs from BMC Medical Informatics and Decision Making
#25
of 2,158 outputs
Outputs of similar age
#8,251
of 248,012 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 31 outputs
Altmetric has tracked 25,759,158 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 2,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. 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 248,012 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 31 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 96% of its contemporaries.