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Modifiable risk factors for schizophrenia and autism — Shared risk factors impacting on brain development

Overview of attention for article published in Neurobiology of Disease, November 2012
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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)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
1 X user
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
220 Mendeley
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Title
Modifiable risk factors for schizophrenia and autism — Shared risk factors impacting on brain development
Published in
Neurobiology of Disease, November 2012
DOI 10.1016/j.nbd.2012.10.023
Pubmed ID
Authors

Jess Hamlyn, Michael Duhig, John McGrath, James Scott

Abstract

Schizophrenia and autism are two poorly understood clinical syndromes that differ in age of onset and clinical profile. However, recent genetic and epidemiological research suggests that these two neurodevelopmental disorders share certain risk factors. The aims of this review are to describe modifiable risk factors that have been identified in both disorders, and, where available, collate salient systematic reviews and meta-analyses that have examined shared risk factors. Based on searches of Medline, Embase and PsycINFO, inspection of review articles and expert opinion, we first compiled a set of candidate modifiable risk factors associated with autism. Where available, we next collated systematic-reviews (with or without meta-analyses) related to modifiable risk factors associated with both autism and schizophrenia. We identified three modifiable risk factors that have been examined in systematic reviews for both autism and schizophrenia. Advanced paternal age was reported as a risk factor for schizophrenia in a single meta-analysis and as a risk factor in two meta-analyses for autism. With respect to pregnancy and birth complications, for autism one meta-analysis identified maternal diabetes and bleeding during pregnancy as risks factors for autism whilst a meta-analysis of eight studies identified obstetric complications as a risk factor for schizophrenia. Migrant status was identified as a risk factor for both autism and schizophrenia. Two separate meta-analyses were identified for each disorder. Despite distinct clinical phenotypes, the evidence suggests that at least some non-genetic risk factors are shared between these two syndromes. In particular, exposure to drugs, nutritional excesses or deficiencies and infectious agents lend themselves to public health interventions. Studies are now needed to quantify any increase in risk of either autism or schizophrenia that is associated with these modifiable environmental factors.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Croatia 1 <1%
Iceland 1 <1%
Portugal 1 <1%
South Africa 1 <1%
Unknown 216 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 37 17%
Student > Master 32 15%
Student > Bachelor 30 14%
Researcher 27 12%
Student > Doctoral Student 14 6%
Other 31 14%
Unknown 49 22%
Readers by discipline Count As %
Medicine and Dentistry 49 22%
Psychology 32 15%
Neuroscience 26 12%
Agricultural and Biological Sciences 23 10%
Nursing and Health Professions 11 5%
Other 24 11%
Unknown 55 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 15 March 2023.
All research outputs
#870,969
of 25,654,806 outputs
Outputs from Neurobiology of Disease
#72
of 3,417 outputs
Outputs of similar age
#4,980
of 202,368 outputs
Outputs of similar age from Neurobiology of Disease
#1
of 19 outputs
Altmetric has tracked 25,654,806 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 3,417 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done particularly well, scoring higher than 97% 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 202,368 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 19 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 94% of its contemporaries.