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Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design

Overview of attention for article published in Implementation Science, August 2014
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users

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107 Mendeley
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Title
Development of a Management Algorithm for Post-operative Pain (MAPP) after total knee and total hip replacement: study rationale and design
Published in
Implementation Science, August 2014
DOI 10.1186/s13012-014-0110-3
Pubmed ID
Authors

Mari Botti, Bridie Kent, Tracey Bucknall, Maxine Duke, Megan-Jane Johnstone, Julie Considine, Bernice Redley, Susan Hunter, Richard de Steiger, Marlene Holcombe, Emma Cohen

Abstract

Evidence from clinical practice and the extant literature suggests that post-operative pain assessment and treatment is often suboptimal. Poor pain management is likely to persist until pain management practices become consistent with guidelines developed from the best available scientific evidence. This work will address the priority in healthcare of improving the quality of pain management by standardising evidence-based care processes through the incorporation of an algorithm derived from best evidence into clinical practice. In this paper, the methodology for the creation and implementation of such an algorithm that will focus, in the first instance, on patients who have undergone total hip or knee replacement is described.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Brazil 1 <1%
Egypt 1 <1%
Unknown 103 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 20%
Student > Postgraduate 11 10%
Student > Ph. D. Student 11 10%
Student > Bachelor 10 9%
Student > Doctoral Student 9 8%
Other 25 23%
Unknown 20 19%
Readers by discipline Count As %
Medicine and Dentistry 47 44%
Nursing and Health Professions 18 17%
Business, Management and Accounting 2 2%
Engineering 2 2%
Social Sciences 2 2%
Other 14 13%
Unknown 22 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2014.
All research outputs
#8,127,478
of 25,286,324 outputs
Outputs from Implementation Science
#1,252
of 1,795 outputs
Outputs of similar age
#75,426
of 243,578 outputs
Outputs of similar age from Implementation Science
#35
of 58 outputs
Altmetric has tracked 25,286,324 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,795 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 28th percentile – i.e., 28% 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 243,578 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 68% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.