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A review of vulnerability and risks for schizophrenia: Beyond the two hit hypothesis

Overview of attention for article published in Neuroscience & Biobehavioral Reviews, April 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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7 X users
wikipedia
3 Wikipedia pages

Citations

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249 Dimensions

Readers on

mendeley
786 Mendeley
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1 CiteULike
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Title
A review of vulnerability and risks for schizophrenia: Beyond the two hit hypothesis
Published in
Neuroscience & Biobehavioral Reviews, April 2016
DOI 10.1016/j.neubiorev.2016.03.017
Pubmed ID
Authors

Justin Davis, Harris Eyre, Felice N Jacka, Seetal Dodd, Olivia Dean, Sarah McEwen, Monojit Debnath, John McGrath, Michael Maes, Paul Amminger, Patrick D McGorry, Christos Pantelis, Michael Berk

Abstract

Schizophrenia risk has often been conceptualized using a model which requires two hits in order to generate the clinical phenotype - the first as an early priming in a genetically predisposed individual and the second a likely environmental insult. The aim of this paper was to review the literature and reformulate this binary risk-vulnerability model. We sourced the data for this narrative review from the electronic database PUBMED. Our search terms were not limited by language or date of publication. The development of schizophrenia may be driven by genetic vulnerability interacting with multiple vulnerability factors including lowered prenatal vitamin D exposure, viral infections, smoking intelligence quotient, social cognition cannabis use, social defeat, nutrition and childhood trauma. It is likely that these genetic risks, environmental risks and vulnerability factors are cumulative and interactive with each other and with critical periods of neurodevelopmental vulnerability. The development of schizophrenia is likely to be more complex and nuanced than the binary two hit model originally proposed nearly thirty years ago. Risk appears influenced by a more complex process involving genetic risk interfacing with multiple potentially interacting hits and vulnerability factors occurring at key periods of neurodevelopmental activity, which culminate in the expression of disease state. These risks are common across a number of neuropsychiatric and medical disorders, which might inform common preventive and intervention strategies across non-communicable disorders.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 786 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 <1%
Greece 1 <1%
Portugal 1 <1%
Italy 1 <1%
Unknown 782 99%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 123 16%
Student > Master 102 13%
Student > Ph. D. Student 83 11%
Researcher 66 8%
Student > Postgraduate 48 6%
Other 137 17%
Unknown 227 29%
Readers by discipline Count As %
Medicine and Dentistry 129 16%
Psychology 124 16%
Neuroscience 82 10%
Nursing and Health Professions 45 6%
Agricultural and Biological Sciences 41 5%
Other 101 13%
Unknown 264 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 November 2021.
All research outputs
#5,517,069
of 25,998,826 outputs
Outputs from Neuroscience & Biobehavioral Reviews
#2,085
of 4,355 outputs
Outputs of similar age
#80,313
of 319,559 outputs
Outputs of similar age from Neuroscience & Biobehavioral Reviews
#38
of 84 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,355 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has gotten more attention than average, scoring higher than 51% 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 319,559 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 84 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 54% of its contemporaries.