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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)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Mentioned by

blogs
1 blog
twitter
12 tweeters
googleplus
1 Google+ user

Citations

dimensions_citation
187 Dimensions

Readers on

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

Liam S Carroll, Michael J Owen

Abstract

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 280 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 3%
United Kingdom 4 1%
Italy 2 <1%
Germany 2 <1%
Brazil 2 <1%
Turkey 1 <1%
Netherlands 1 <1%
Mexico 1 <1%
Belgium 1 <1%
Other 1 <1%
Unknown 257 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 20%
Student > Ph. D. Student 54 19%
Student > Master 39 14%
Student > Bachelor 38 14%
Student > Postgraduate 18 6%
Other 58 21%
Unknown 18 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 78 28%
Psychology 52 19%
Medicine and Dentistry 49 18%
Neuroscience 35 13%
Biochemistry, Genetics and Molecular Biology 22 8%
Other 18 6%
Unknown 26 9%

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 24 May 2020.
All research outputs
#1,052,803
of 15,551,339 outputs
Outputs from Genome Medicine
#251
of 1,059 outputs
Outputs of similar age
#11,694
of 157,529 outputs
Outputs of similar age from Genome Medicine
#5
of 19 outputs
Altmetric has tracked 15,551,339 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 1,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one has done well, scoring higher than 76% 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 157,529 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 19 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.