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Establishing the effectiveness of patient decision aids: key constructs and measurement instruments

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 (84th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
1 tweeter

Citations

dimensions_citation
152 Dimensions

Readers on

mendeley
212 Mendeley
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Title
Establishing the effectiveness of patient decision aids: key constructs and measurement instruments
Published in
BMC Medical Informatics and Decision Making, November 2013
DOI 10.1186/1472-6947-13-s2-s12
Pubmed ID
Authors

Karen R Sepucha, Cornelia M Borkhoff, Joanne Lally, Carrie A Levin, Daniel D Matlock, Chirk Jenn Ng, Mary E Ropka, Dawn Stacey, Natalie Joseph-Williams, Celia E Wills, Richard Thomson

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 212 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Australia 1 <1%
Unknown 210 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 48 23%
Student > Ph. D. Student 30 14%
Student > Master 29 14%
Other 21 10%
Student > Doctoral Student 11 5%
Other 48 23%
Unknown 25 12%
Readers by discipline Count As %
Medicine and Dentistry 88 42%
Nursing and Health Professions 24 11%
Psychology 17 8%
Social Sciences 11 5%
Computer Science 6 3%
Other 28 13%
Unknown 38 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 12 August 2019.
All research outputs
#2,578,220
of 15,640,467 outputs
Outputs from BMC Medical Informatics and Decision Making
#247
of 1,416 outputs
Outputs of similar age
#41,672
of 263,462 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#42
of 159 outputs
Altmetric has tracked 15,640,467 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,416 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done well, scoring higher than 82% 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 263,462 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 84% of its contemporaries.
We're also able to compare this research output to 159 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 73% of its contemporaries.