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Neuropathic Pain: Is Quantitative Sensory Testing Helpful?

Overview of attention for article published in Current Diabetes Reports, May 2012
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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 (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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168 Mendeley
Title
Neuropathic Pain: Is Quantitative Sensory Testing Helpful?
Published in
Current Diabetes Reports, May 2012
DOI 10.1007/s11892-012-0282-7
Pubmed ID
Authors

Elena K. Krumova, Christian Geber, Andrea Westermann, Christoph Maier

Abstract

Neuropathic pain arises as a consequence of a lesion or disease affecting the somatosensory system and is characterised by a combination of positive and negative sensory symptoms. Quantitative sensory testing (QST) examines the sensory perception after application of different mechanical and thermal stimuli of controlled intensity and the function of both large (A-beta) and small (A-delta and C) nerve fibres, including the corresponding central pathways. QST can be used to determine detection, pain thresholds and stimulus-response curves and can thus detect both negative and positive sensory signs, the second ones not being assessed by other methods. Similarly to all other psychophysical tests QST requires standardised examination, instructions and data evaluation to receive valid and reliable results. Since normative data are available, QST can contribute also to the individual diagnosis of neuropathy, especially in the case of isolated small-fibre neuropathy, in contrast to the conventional electrophysiology which assesses only large myelinated fibres. For example, detection of early stages of subclinical neuropathy in symptomatic or asymptomatic patients with diabetes mellitus can be helpful to optimise treatment and identify diabetic foot at risk of ulceration. QST assessed the individual's sensory profile and thus can be valuable to evaluate the underlying pain mechanisms which occur in different frequencies even in the same neuropathic pain syndromes. Furthermore, assessing the exact sensory phenotype by QST might be useful in the future to identify responders to certain treatments in accordance to the underlying pain mechanisms.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 168 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
France 1 <1%
Brazil 1 <1%
Unknown 165 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 29 17%
Student > Master 25 15%
Researcher 22 13%
Student > Doctoral Student 17 10%
Student > Bachelor 13 8%
Other 38 23%
Unknown 24 14%
Readers by discipline Count As %
Medicine and Dentistry 72 43%
Nursing and Health Professions 14 8%
Neuroscience 14 8%
Agricultural and Biological Sciences 10 6%
Psychology 7 4%
Other 18 11%
Unknown 33 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 24 December 2014.
All research outputs
#4,620,853
of 22,729,647 outputs
Outputs from Current Diabetes Reports
#240
of 1,005 outputs
Outputs of similar age
#32,214
of 164,403 outputs
Outputs of similar age from Current Diabetes Reports
#4
of 19 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,005 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done well, scoring higher than 76% 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 164,403 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 80% of its contemporaries.
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 has done well, scoring higher than 78% of its contemporaries.