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Genetic overlap between autism, schizophrenia and bipolar disorder

Overview of attention for article published in Genome Medicine, January 2009
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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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

1 blog
12 tweeters
1 Google+ user


227 Dimensions

Readers on

329 Mendeley
2 CiteULike
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Genetic overlap between autism, schizophrenia and bipolar disorder
Published in
Genome Medicine, January 2009
DOI 10.1186/gm102
Pubmed ID

Liam S Carroll, Michael J Owen


There is strong evidence that genetic factors make substantial contributions to the etiology of autism, schizophrenia and bipolar disorders, with heritability estimates being at least 80% for each. These illnesses have complex inheritance, with multiple genetic and environmental factors influencing disease risk; however, in psychiatry, complex genetics is further compounded by phenotypic complexity. Autism, schizophrenia and bipolar disorder are effectively syndromic constellations of symptoms that define groups of patients with broadly similar outcomes and responses to treatment. As such the diagnostic categories are likely to be heterogeneous and the boundaries between them somewhat arbitrary. Recent applications of whole-genome technologies have discovered rare copy number variants and common single-nucleotide polymorphisms that are associated with risk of developing these disorders. Furthermore, these studies have shown an overlap between the genetic loci and even alleles that predispose to the different phenotypes. The findings have several implications. First, they show that copy number variations are likely to be important risk factors for autism and schizophrenia, whereas common single-nucleotide polymorphism alleles have a role in all disorders. Second, they imply that there are specific genetic loci and alleles that increase an individual's risk of developing any of these disorders. Finally, the findings suggest that some of the specific genetic loci implicated so far encode proteins, such as neurexins and neuroligins, that function in synaptic development and plasticity, and therefore may represent a common biological pathway for these disorders.

Twitter Demographics

The data shown below were collected from the profiles of 12 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 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
United Kingdom 4 1%
Italy 2 <1%
Germany 2 <1%
Brazil 2 <1%
Korea, Republic of 1 <1%
Turkey 1 <1%
Netherlands 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 306 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 18%
Student > Ph. D. Student 58 18%
Student > Master 50 15%
Student > Bachelor 45 14%
Student > Doctoral Student 20 6%
Other 65 20%
Unknown 31 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 24%
Psychology 58 18%
Medicine and Dentistry 56 17%
Neuroscience 46 14%
Biochemistry, Genetics and Molecular Biology 23 7%
Other 25 8%
Unknown 42 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 01 May 2022.
All research outputs
of 21,685,809 outputs
Outputs from Genome Medicine
of 1,374 outputs
Outputs of similar age
of 175,694 outputs
Outputs of similar age from Genome Medicine
of 15 outputs
Altmetric has tracked 21,685,809 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,374 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.4. This one has gotten more attention than average, scoring higher than 74% 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 175,694 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 15 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.