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Visualising Conversation Structure across Time: Insights into Effective Doctor-Patient Consultations

Overview of attention for article published in PLOS ONE, June 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

blogs
1 blog
twitter
4 X users
patent
2 patents
reddit
2 Redditors

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
165 Mendeley
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Title
Visualising Conversation Structure across Time: Insights into Effective Doctor-Patient Consultations
Published in
PLOS ONE, June 2012
DOI 10.1371/journal.pone.0038014
Pubmed ID
Authors

Daniel Angus, Bernadette Watson, Andrew Smith, Cindy Gallois, Janet Wiles

Abstract

Effective communication between healthcare professionals and patients is critical to patients' health outcomes. The doctor/patient dialogue has been extensively researched from different perspectives, with findings emphasising a range of behaviours that lead to effective communication. Much research involves self-reports, however, so that behavioural engagement cannot be disentangled from patients' ratings of effectiveness. In this study we used a highly efficient and time economic automated computer visualisation measurement technique called Discursis to analyse conversational behaviour in consultations. Discursis automatically builds an internal language model from a transcript, mines the transcript for its conceptual content, and generates an interactive visual account of the discourse. The resultant visual account of the whole consultation can be analysed for patterns of engagement between interactants. The findings from this study show that Discursis is effective at highlighting a range of consultation techniques, including communication accommodation, engagement and repetition.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Italy 2 1%
Bangladesh 1 <1%
Indonesia 1 <1%
Turkey 1 <1%
Germany 1 <1%
United Kingdom 1 <1%
India 1 <1%
Spain 1 <1%
Other 1 <1%
Unknown 152 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 17%
Researcher 25 15%
Student > Master 23 14%
Student > Bachelor 16 10%
Professor 12 7%
Other 37 22%
Unknown 24 15%
Readers by discipline Count As %
Computer Science 24 15%
Psychology 23 14%
Medicine and Dentistry 23 14%
Social Sciences 15 9%
Linguistics 13 8%
Other 34 21%
Unknown 33 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 20 March 2018.
All research outputs
#1,797,126
of 23,292,144 outputs
Outputs from PLOS ONE
#22,916
of 198,987 outputs
Outputs of similar age
#11,383
of 168,093 outputs
Outputs of similar age from PLOS ONE
#374
of 3,781 outputs
Altmetric has tracked 23,292,144 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,987 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 88% 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 168,093 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 93% of its contemporaries.
We're also able to compare this research output to 3,781 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 90% of its contemporaries.