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Epigenetics, Stress, and Their Potential Impact on Brain Network Function: A Focus on the Schizophrenia Diatheses

Overview of attention for article published in Frontiers in Psychiatry, June 2014
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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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
11 news outlets
blogs
3 blogs
twitter
7 X users

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
1 CiteULike
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Title
Epigenetics, Stress, and Their Potential Impact on Brain Network Function: A Focus on the Schizophrenia Diatheses
Published in
Frontiers in Psychiatry, June 2014
DOI 10.3389/fpsyt.2014.00071
Pubmed ID
Authors

Vaibhav A. Diwadkar, Angela Bustamante, Harinder Rai, Monica Uddin

Abstract

The recent sociodevelopmental cognitive model of schizophrenia/psychosis is a highly influential and compelling compendium of research findings. Here, we present logical extensions to this model incorporating ideas drawn from epigenetic mediation of psychiatric disease, and the plausible effects of epigenetics on the emergence of brain network function and dysfunction in adolescence. We discuss how gene-environment interactions, effected by epigenetic mechanisms, might in particular mediate the stress response (itself heavily implicated in the emergence of schizophrenia). Next, we discuss the plausible relevance of this framework for adolescent genetic risk populations, a risk group characterized by vexing and difficult-to-explain heterogeneity. We then discuss how exploring relationships between epigenetics and brain network dysfunction (a strongly validated finding in risk populations) can enhance understanding of the relationship between stress, epigenetics, and functional neurobiology, and the relevance of this relationship for the eventual emergence of schizophrenia/psychosis. We suggest that these considerations can expand the impact of models such as the sociodevelopmental cognitive model, increasing their explanatory reach. Ultimately, integration of these lines of research may enhance efforts of early identification, intervention, and treatment in adolescents at-risk for schizophrenia.

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

Geographical breakdown

Country Count As %
Hong Kong 1 <1%
India 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 16%
Researcher 18 15%
Student > Ph. D. Student 17 14%
Student > Bachelor 14 11%
Other 10 8%
Other 23 19%
Unknown 20 16%
Readers by discipline Count As %
Psychology 30 25%
Medicine and Dentistry 20 16%
Agricultural and Biological Sciences 15 12%
Neuroscience 11 9%
Biochemistry, Genetics and Molecular Biology 8 7%
Other 8 7%
Unknown 30 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 104. 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 May 2023.
All research outputs
#377,651
of 24,279,062 outputs
Outputs from Frontiers in Psychiatry
#220
of 11,538 outputs
Outputs of similar age
#3,336
of 232,669 outputs
Outputs of similar age from Frontiers in Psychiatry
#6
of 48 outputs
Altmetric has tracked 24,279,062 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,538 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one has done particularly well, scoring higher than 98% 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 232,669 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 98% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.