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Metabolite profiling in posttraumatic stress disorder

Overview of attention for article published in Journal of Molecular Psychiatry, January 2015
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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 (87th percentile)

Mentioned by

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1 news outlet
twitter
5 tweeters
facebook
1 Facebook page

Citations

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27 Dimensions

Readers on

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75 Mendeley
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Title
Metabolite profiling in posttraumatic stress disorder
Published in
Journal of Molecular Psychiatry, January 2015
DOI 10.1186/s40303-015-0007-3
Pubmed ID
Authors

Alexander Karabatsiakis, Gilava Hamuni, Sarah Wilker, Stephan Kolassa, Durairaj Renu, Suzanne Kadereit, Maggie Schauer, Thomas Hennessy, Iris-Tatjana Kolassa

Abstract

Traumatic stress does not only increase the risk for posttraumatic stress disorder (PTSD), but is also associated with adverse secondary physical health outcomes. Despite increasing efforts, we only begin to understand the underlying biomolecular processes. The hypothesis-free assessment of a wide range of metabolites (termed metabolite profiling) might contribute to the discovery of biological pathways underlying PTSD. Here, we present the results of the first metabolite profiling study in PTSD, which investigated peripheral blood serum samples of 20 PTSD patients and 18 controls. We performed liquid chromatography (LC) coupled to Quadrupole/Time-Of-Flight (QTOF) mass spectrometry. Two complementary statistical approaches were used to identify metabolites associated with PTSD status including univariate analyses and Partial Least Squares Discriminant Analysis (PLS-DA). Thirteen metabolites displayed significant changes in PTSD, including four glycerophospholipids, and one metabolite involved in endocannabinoid signaling. A biomarker panel of 19 metabolites classifies PTSD with 85% accuracy, while classification accuracy from the glycerophospholipid with the highest differentiating ability already reached 82%. This study illustrates the feasibility and utility of metabolite profiling for PTSD and suggests lipid-derived and endocannabinoid signaling as potential biological pathways involved in trauma-associated pathophysiology.

Twitter Demographics

The data shown below were collected from the profiles of 5 tweeters who shared this research output. Click here to find out more about how the information was compiled.

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 %
United States 1 1%
Germany 1 1%
Unknown 73 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 16%
Student > Doctoral Student 9 12%
Student > Ph. D. Student 9 12%
Student > Master 9 12%
Other 7 9%
Other 13 17%
Unknown 16 21%
Readers by discipline Count As %
Psychology 17 23%
Agricultural and Biological Sciences 11 15%
Medicine and Dentistry 8 11%
Neuroscience 5 7%
Chemistry 4 5%
Other 9 12%
Unknown 21 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 11 June 2016.
All research outputs
#1,421,071
of 14,200,981 outputs
Outputs from Journal of Molecular Psychiatry
#10
of 32 outputs
Outputs of similar age
#28,454
of 225,434 outputs
Outputs of similar age from Journal of Molecular Psychiatry
#1
of 1 outputs
Altmetric has tracked 14,200,981 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 32 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one scored the same or higher as 22 of them.
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 225,434 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 87% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them