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Pharmacogenetics of pain and analgesia

Overview of attention for article published in Clinical Genetics, August 2012
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Title
Pharmacogenetics of pain and analgesia
Published in
Clinical Genetics, August 2012
DOI 10.1111/j.1399-0004.2012.01936.x
Pubmed ID
Authors

MT Smith, A Muralidharan

Abstract

Pain severity ratings and the analgesic dosing requirements of patients with apparently similar pain conditions may differ considerably between individuals. Contributing factors include those of genetic and environmental origin with epigenetic mechanisms that enable dynamic gene-environment interaction, more recently implicated in pain modulation. Insight into genetic factors underpinning inter-patient variability in pain sensitivity has come from rodent heritability studies as well as familial aggregation and twin studies in humans. Indeed, more than 350 candidate pain genes have been identified as potentially contributing to heritable differences in pain sensitivity. A large number of genetic association studies conducted in patients with a variety of clinical pain types or in humans exposed to experimentally induced pain stimuli in the laboratory setting, have examined the impact of single-nucleotide polymorphisms in various target genes on pain sensitivity and/or analgesic dosing requirements. However, the findings of such studies have generally failed to replicate or have been only partially replicated by independent investigators. Deficiencies in study conduct including use of small sample size, inappropriate statistical methods and inadequate attention to the possibility that between-study differences in environmental factors may alter pain phenotypes through epigenetic mechanisms, have been identified as being significant.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 15%
Researcher 7 15%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Student > Bachelor 3 7%
Other 11 24%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 12 26%
Agricultural and Biological Sciences 8 17%
Biochemistry, Genetics and Molecular Biology 3 7%
Nursing and Health Professions 2 4%
Computer Science 2 4%
Other 11 24%
Unknown 8 17%
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 27 August 2012.
All research outputs
#19,917,373
of 24,477,448 outputs
Outputs from Clinical Genetics
#2,250
of 2,554 outputs
Outputs of similar age
#133,806
of 171,980 outputs
Outputs of similar age from Clinical Genetics
#19
of 19 outputs
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We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.