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The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration

Overview of attention for article published in Neuropsychopharmacology, April 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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2 news outlets
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10 X users
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2 Facebook pages
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1 Wikipedia page

Citations

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122 Dimensions

Readers on

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210 Mendeley
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2 CiteULike
Title
The Psychiatric Genomics Consortium Posttraumatic Stress Disorder Workgroup: Posttraumatic Stress Disorder Enters the Age of Large-Scale Genomic Collaboration
Published in
Neuropsychopharmacology, April 2015
DOI 10.1038/npp.2015.118
Pubmed ID
Authors

Mark W Logue, Ananda B Amstadter, Dewleen G Baker, Laramie Duncan, Karestan C Koenen, Israel Liberzon, Mark W Miller, Rajendra A Morey, Caroline M Nievergelt, Kerry J Ressler, Alicia K Smith, Jordan W Smoller, Murray B Stein, Jennifer A Sumner, Monica Uddin

Abstract

The development of posttraumatic stress disorder (PTSD) is influenced by genetic factors. Although there have been some replicated candidates, the identification of risk variants for PTSD has lagged behind genetic research of other psychiatric disorders such as schizophrenia, autism and bipolar disorder. Psychiatric genetics has moved beyond examination of specific candidate genes in favor of the genome-wide association study (GWAS) strategy of very large numbers of samples, which allows for the discovery of previously unsuspected genes and molecular pathways. The successes of genetic studies of schizophrenia and bipolar disorder have been aided by the formation of a large-scale GWAS consortium: the Psychiatric Genomics Consortium (PGC). In contrast, only a handful of GWAS of PTSD have appeared in the literature to date. Here we describe the formation of a group dedicated to large-scale study of PTSD genetics: the PGC-PTSD. The PGC-PTSD faces challenges related to the contingency on trauma exposure and the large degree of ancestral genetic diversity within and across participating studies. Using the PGC analysis pipeline supplemented by analyses tailored to address these challenges, we anticipate that our first large-scale GWAS of PTSD will comprise over 10 000 cases and 30 000 trauma-exposed controls. Following in the footsteps of our PGC forerunners, this collaboration-of a scope that is unprecedented in the field of traumatic stress-will lead the search for replicable genetic associations and new insights into the biological underpinnings of PTSD.Neuropsychopharmacology accepted article preview online, 23 April 2015. doi:10.1038/npp.2015.118.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 210 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Italy 1 <1%
Unknown 207 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 18%
Researcher 32 15%
Student > Master 21 10%
Other 14 7%
Student > Bachelor 14 7%
Other 37 18%
Unknown 54 26%
Readers by discipline Count As %
Psychology 40 19%
Medicine and Dentistry 29 14%
Neuroscience 19 9%
Biochemistry, Genetics and Molecular Biology 15 7%
Agricultural and Biological Sciences 13 6%
Other 29 14%
Unknown 65 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 05 June 2019.
All research outputs
#1,483,944
of 24,417,958 outputs
Outputs from Neuropsychopharmacology
#664
of 4,342 outputs
Outputs of similar age
#18,999
of 269,719 outputs
Outputs of similar age from Neuropsychopharmacology
#13
of 86 outputs
Altmetric has tracked 24,417,958 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,342 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.8. This one has done well, scoring higher than 84% 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 269,719 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 92% of its contemporaries.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.