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A classification model of patient engagement methods and assessment of their feasibility in real-world settings

Overview of attention for article published in Patient Education & Counseling, February 2014
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

twitter
61 X users

Citations

dimensions_citation
80 Dimensions

Readers on

mendeley
189 Mendeley
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Title
A classification model of patient engagement methods and assessment of their feasibility in real-world settings
Published in
Patient Education & Counseling, February 2014
DOI 10.1016/j.pec.2014.01.016
Pubmed ID
Authors

Stuart W. Grande, Marjan J. Faber, Marie-Anne Durand, Rachel Thompson, Glyn Elwyn

Abstract

Examine existing reviews of patient engagement methods to propose a model where the focus is on engaging patients in clinical workflows, and to assess the feasibility of advocated patient engagement methods.

X Demographics

X Demographics

The data shown below were collected from the profiles of 61 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 189 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Sweden 1 <1%
Australia 1 <1%
Canada 1 <1%
Unknown 183 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 21%
Student > Master 35 19%
Researcher 32 17%
Other 13 7%
Student > Doctoral Student 12 6%
Other 42 22%
Unknown 16 8%
Readers by discipline Count As %
Medicine and Dentistry 42 22%
Social Sciences 34 18%
Nursing and Health Professions 33 17%
Psychology 17 9%
Computer Science 8 4%
Other 30 16%
Unknown 25 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 37. 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 09 June 2020.
All research outputs
#1,102,097
of 25,377,790 outputs
Outputs from Patient Education & Counseling
#111
of 4,166 outputs
Outputs of similar age
#12,074
of 322,641 outputs
Outputs of similar age from Patient Education & Counseling
#3
of 32 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,166 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 97% 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 322,641 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 32 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 93% of its contemporaries.