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Recognising ethnocultural diversity in chronic pain assessment: validation of the Pictorial Representation of Illness and Self Measure (PRISM) for use with culturally diverse communities

Overview of attention for article published in Health and Quality of Life Outcomes, April 2019
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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)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
twitter
8 X users
facebook
1 Facebook page
reddit
1 Redditor

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
75 Mendeley
Title
Recognising ethnocultural diversity in chronic pain assessment: validation of the Pictorial Representation of Illness and Self Measure (PRISM) for use with culturally diverse communities
Published in
Health and Quality of Life Outcomes, April 2019
DOI 10.1186/s12955-019-1126-9
Pubmed ID
Authors

Bernadette Brady, Irena Veljanova, Toni Andary, Troy Southwell, Lucinda Chipchase

X Demographics

X Demographics

The data shown below were collected from the profiles of 8 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 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 8 11%
Student > Master 7 9%
Student > Ph. D. Student 6 8%
Researcher 5 7%
Student > Doctoral Student 4 5%
Other 15 20%
Unknown 30 40%
Readers by discipline Count As %
Nursing and Health Professions 13 17%
Medicine and Dentistry 9 12%
Psychology 8 11%
Social Sciences 4 5%
Agricultural and Biological Sciences 3 4%
Other 8 11%
Unknown 30 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 03 May 2019.
All research outputs
#2,401,291
of 23,316,003 outputs
Outputs from Health and Quality of Life Outcomes
#152
of 2,196 outputs
Outputs of similar age
#55,136
of 353,351 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#5
of 48 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,196 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 93% 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 353,351 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 48 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 91% of its contemporaries.