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Human amygdala volume is predicted by common DNA variation in the stathmin and serotonin transporter genes

Overview of attention for article published in Translational Psychiatry, July 2013
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Title
Human amygdala volume is predicted by common DNA variation in the stathmin and serotonin transporter genes
Published in
Translational Psychiatry, July 2013
DOI 10.1038/tp.2013.41
Pubmed ID
Authors

D Stjepanović, V Lorenzetti, M Yücel, Z Hawi, M A Bellgrove

Abstract

Despite the relevance of changes in amygdala volume to psychiatric illnesses and its heritability in both health and disease, the influence of common genetic variation on amygdala morphology remains largely unexplored. In the present study, we investigated the influence of a number of novel genetic variants on amygdala volume in 139 neurologically healthy individuals of European descent. Amygdala volume was significantly associated with allelic variation in the stathmin (STMN1) and serotonin transporter (SLC6A4) genes, which have been linked to healthy and disordered affective processing. These results were replicated across both manual and automated methods of amygdala parcellation, although manual tracing showed stronger effects, providing a cautionary note to studies relying on automated parcellation methods. Future studies will need to determine whether amygdala volume mediates the impact of stathmin and serotonin transporter gene variants on normal and dysfunctional emotion processing.

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The data shown below were collected from the profiles of 3 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Russia 1 2%
Sweden 1 2%
Germany 1 2%
Unknown 42 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 24%
Student > Ph. D. Student 8 17%
Student > Doctoral Student 5 11%
Student > Bachelor 5 11%
Student > Postgraduate 2 4%
Other 8 17%
Unknown 7 15%
Readers by discipline Count As %
Psychology 11 24%
Neuroscience 6 13%
Medicine and Dentistry 6 13%
Agricultural and Biological Sciences 5 11%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 6 13%
Unknown 10 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 19 July 2013.
All research outputs
#14,223,188
of 23,577,761 outputs
Outputs from Translational Psychiatry
#2,355
of 3,347 outputs
Outputs of similar age
#106,805
of 195,616 outputs
Outputs of similar age from Translational Psychiatry
#17
of 23 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 22.9. This one is in the 29th percentile – i.e., 29% 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 195,616 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.