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Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept

Overview of attention for article published in Nature Neuroscience, February 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

news
3 news outlets
blogs
2 blogs
twitter
85 X users
facebook
1 Facebook page

Citations

dimensions_citation
208 Dimensions

Readers on

mendeley
545 Mendeley
citeulike
3 CiteULike
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Title
Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
Published in
Nature Neuroscience, February 2016
DOI 10.1038/nn.4228
Pubmed ID
Authors

Barbara Franke, Jason L Stein, Stephan Ripke, Verneri Anttila, Derrek P Hibar, Kimm J E van Hulzen, Alejandro Arias-Vasquez, Jordan W Smoller, Thomas E Nichols, Michael C Neale, Andrew M McIntosh, Phil Lee, Francis J McMahon, Andreas Meyer-Lindenberg, Manuel Mattheisen, Ole A Andreassen, Oliver Gruber, Perminder S Sachdev, Roberto Roiz-Santiañez, Andrew J Saykin, Stefan Ehrlich, Karen A Mather, Jessica A Turner, Emanuel Schwarz, Anbupalam Thalamuthu, Yin Yao, Yvonne Y W Ho, Nicholas G Martin, Margaret J Wright, Michael C O'Donovan, Paul M Thompson, Benjamin M Neale, Sarah E Medland, Patrick F Sullivan

Abstract

Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 85 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 545 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 7 1%
Switzerland 2 <1%
Japan 2 <1%
Austria 1 <1%
Finland 1 <1%
Italy 1 <1%
Canada 1 <1%
France 1 <1%
United Kingdom 1 <1%
Other 1 <1%
Unknown 527 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 18%
Researcher 91 17%
Professor 55 10%
Student > Master 37 7%
Student > Bachelor 35 6%
Other 104 19%
Unknown 124 23%
Readers by discipline Count As %
Neuroscience 78 14%
Medicine and Dentistry 69 13%
Psychology 61 11%
Agricultural and Biological Sciences 59 11%
Biochemistry, Genetics and Molecular Biology 58 11%
Other 58 11%
Unknown 162 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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 May 2023.
All research outputs
#488,447
of 25,732,188 outputs
Outputs from Nature Neuroscience
#894
of 5,658 outputs
Outputs of similar age
#8,837
of 408,434 outputs
Outputs of similar age from Nature Neuroscience
#18
of 75 outputs
Altmetric has tracked 25,732,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,658 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 57.9. 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 408,434 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 97% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.