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Polygenic Risk for Schizophrenia Is Associated with Cognitive Change Between Childhood and Old Age

Overview of attention for article published in Biological Psychiatry, February 2013
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (84th percentile)

Mentioned by

news
5 news outlets
twitter
9 X users
facebook
1 Facebook page

Citations

dimensions_citation
122 Dimensions

Readers on

mendeley
158 Mendeley
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Title
Polygenic Risk for Schizophrenia Is Associated with Cognitive Change Between Childhood and Old Age
Published in
Biological Psychiatry, February 2013
DOI 10.1016/j.biopsych.2013.01.011
Pubmed ID
Authors

Andrew M. McIntosh, Alan Gow, Michelle Luciano, Gail Davies, David C. Liewald, Sarah E. Harris, Janie Corley, Jeremy Hall, John M. Starr, David J. Porteous, Albert Tenesa, Peter M. Visscher, Ian J. Deary

Abstract

Genome-wide association studies (GWAS) have shown a polygenic component to the risk of schizophrenia. The disorder is associated with impairments in general cognitive ability that also have a substantial genetic contribution. No study has determined whether cognitive impairments can be attributed to schizophrenia's polygenic architecture using data from GWAS.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
Netherlands 3 2%
United States 2 1%
Sweden 1 <1%
Unknown 149 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 35 22%
Researcher 19 12%
Student > Master 18 11%
Professor 12 8%
Student > Doctoral Student 10 6%
Other 38 24%
Unknown 26 16%
Readers by discipline Count As %
Psychology 32 20%
Medicine and Dentistry 31 20%
Neuroscience 15 9%
Agricultural and Biological Sciences 13 8%
Biochemistry, Genetics and Molecular Biology 10 6%
Other 14 9%
Unknown 43 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 43. 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 28 May 2013.
All research outputs
#965,326
of 25,547,904 outputs
Outputs from Biological Psychiatry
#674
of 6,613 outputs
Outputs of similar age
#6,583
of 205,141 outputs
Outputs of similar age from Biological Psychiatry
#16
of 94 outputs
Altmetric has tracked 25,547,904 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,613 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.6. This one has done well, scoring higher than 89% 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 205,141 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 96% of its contemporaries.
We're also able to compare this research output to 94 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.