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Conversations Between Carers and People With Schizophrenia: A Qualitative Analysis Using Leximancer

Overview of attention for article published in Qualitative Health Research, July 2010
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Title
Conversations Between Carers and People With Schizophrenia: A Qualitative Analysis Using Leximancer
Published in
Qualitative Health Research, July 2010
DOI 10.1177/1049732310378297
Pubmed ID
Authors

Julia Cretchley, Cindy Gallois, Helen Chenery, Andrew Smith

Abstract

We examined conversations between people with schizophrenia (PwS) and family or professional carers with whom they interacted frequently. We allocated PwS to one of two communication profiles: Low-activity communicators talked much less than their conversational partners, whereas high-activity communicators talked much more. We used Leximancer text analytics software to analyze the conversations. We found that carers used different strategies to accommodate to the PwS's behavior, depending on the PwS's communication profile and their relationship. These findings indicate that optimal communication strategies depend on the PwS's conversational tendencies and the relationship context. They also suggest new opportunities for qualitative assessment via intelligent text analytics technologies.

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X Demographics

The data shown below were collected from the profile of 1 X user 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Portugal 1 <1%
Germany 1 <1%
Unknown 124 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 23%
Student > Master 17 13%
Researcher 15 12%
Student > Doctoral Student 14 11%
Student > Postgraduate 8 6%
Other 23 18%
Unknown 21 17%
Readers by discipline Count As %
Social Sciences 22 17%
Psychology 19 15%
Business, Management and Accounting 16 13%
Medicine and Dentistry 8 6%
Computer Science 6 5%
Other 29 23%
Unknown 27 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 05 November 2021.
All research outputs
#15,242,847
of 22,664,267 outputs
Outputs from Qualitative Health Research
#1,341
of 1,826 outputs
Outputs of similar age
#75,800
of 93,799 outputs
Outputs of similar age from Qualitative Health Research
#8
of 16 outputs
Altmetric has tracked 22,664,267 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,826 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 93,799 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.