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Pain assessment for people with dementia: a systematic review of systematic reviews of pain assessment tools

Overview of attention for article published in BMC Geriatrics, December 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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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50 X users
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3 Facebook pages

Citations

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224 Dimensions

Readers on

mendeley
373 Mendeley
Title
Pain assessment for people with dementia: a systematic review of systematic reviews of pain assessment tools
Published in
BMC Geriatrics, December 2014
DOI 10.1186/1471-2318-14-138
Pubmed ID
Authors

Valentina Lichtner, Dawn Dowding, Philip Esterhuizen, S José Closs, Andrew F Long, Anne Corbett, Michelle Briggs

Abstract

There is evidence of under-detection and poor management of pain in patient with dementia, in both long-term and acute care. Accurate assessment of pain in people with dementia is challenging and pain assessment tools have received considerable attention over the years, with an increasing number of tools made available. Systematic reviews on the evidence of their validity and utility mostly compare different sets of tools. This review of systematic reviews analyses and summarises evidence concerning the psychometric properties and clinical utility of pain assessment tools in adults with dementia or cognitive impairment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 50 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 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Unknown 371 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 68 18%
Student > Bachelor 52 14%
Student > Ph. D. Student 35 9%
Researcher 27 7%
Other 22 6%
Other 68 18%
Unknown 101 27%
Readers by discipline Count As %
Medicine and Dentistry 98 26%
Nursing and Health Professions 89 24%
Psychology 21 6%
Social Sciences 9 2%
Computer Science 8 2%
Other 35 9%
Unknown 113 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 29 June 2022.
All research outputs
#1,249,258
of 25,508,813 outputs
Outputs from BMC Geriatrics
#217
of 3,666 outputs
Outputs of similar age
#15,511
of 348,239 outputs
Outputs of similar age from BMC Geriatrics
#3
of 26 outputs
Altmetric has tracked 25,508,813 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 3,666 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done particularly well, scoring higher than 94% 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 348,239 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 95% of its contemporaries.
We're also able to compare this research output to 26 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 92% of its contemporaries.