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Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions

Overview of attention for article published in Journal of Neural Transmission, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

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1 news outlet
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3 X users
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1 Wikipedia page

Citations

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41 Dimensions

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112 Mendeley
Title
Gene–environment interaction of monoamine oxidase A in relation to antisocial behaviour: current and future directions
Published in
Journal of Neural Transmission, June 2018
DOI 10.1007/s00702-018-1892-2
Pubmed ID
Authors

Kent W. Nilsson, Cecilia Åslund, Erika Comasco, Lars Oreland

Abstract

Since the pioneering finding of Caspi and co-workers in 2002 that exposure to childhood maltreatment predicted later antisocial behaviour (ASB) in male carriers of the low-activity MAOA-uVNTR allele, frequent replication studies have been published. Two meta-analyses, one in 2006 and the other in 2014, confirmed the original findings by Caspi and co-workers. In the present paper, we review the literature, note some methodological aspects of candidate gene-environment interaction (cG×E) studies and suggest some future directions. Our conclusions are as follows. (1) The direction of the effect in a cG×E model may differ according to the positive and negative environmental background of the population. (2) There is a predictor-intersection problem such that when measuring one type of maltreatment in a person, other kinds of maltreatment often co-occur. Other forms of abuse are implicitly considered in statistical models; therefore, it is difficult to draw conclusions about the effects of timing and the severity of different forms of stressful life events in relation to ASB. (3) There is also an outcome-intersection problem because of the major intersection of ASB and other forms of mental health problems. It is likely that the G×E with MAOA is related to a common unmeasured factor. (4) For the G×E model, in which the effect of the gene on the outcome variable is dependent on other predictor variables, theoretically, hypothesis-driven statistical modelling is needed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 112 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 16%
Student > Bachelor 16 14%
Student > Ph. D. Student 10 9%
Student > Postgraduate 6 5%
Researcher 4 4%
Other 12 11%
Unknown 46 41%
Readers by discipline Count As %
Psychology 25 22%
Biochemistry, Genetics and Molecular Biology 10 9%
Medicine and Dentistry 5 4%
Agricultural and Biological Sciences 4 4%
Neuroscience 4 4%
Other 14 13%
Unknown 50 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 11 May 2020.
All research outputs
#2,082,705
of 23,088,369 outputs
Outputs from Journal of Neural Transmission
#76
of 1,784 outputs
Outputs of similar age
#45,971
of 329,367 outputs
Outputs of similar age from Journal of Neural Transmission
#1
of 14 outputs
Altmetric has tracked 23,088,369 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,784 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 95% 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 329,367 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 14 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 92% of its contemporaries.