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The MAOA gene predicts happiness in women

Overview of attention for article published in Progress in Neuro-Psychopharmacology & Biological Psychiatry, August 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#47 of 2,717)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
2 news outlets
blogs
4 blogs
twitter
17 X users
facebook
8 Facebook pages
googleplus
2 Google+ users
video
1 YouTube creator

Citations

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48 Dimensions

Readers on

mendeley
118 Mendeley
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1 CiteULike
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Title
The MAOA gene predicts happiness in women
Published in
Progress in Neuro-Psychopharmacology & Biological Psychiatry, August 2012
DOI 10.1016/j.pnpbp.2012.07.018
Pubmed ID
Authors

Henian Chen, Daniel S. Pine, Monique Ernst, Elena Gorodetsky, Stephanie Kasen, Kathy Gordon, David Goldman, Patricia Cohen

Abstract

Psychologists, quality of life and well-being researchers have grown increasingly interested in understanding the factors that are associated with human happiness. Although twin studies estimate that genetic factors account for 35-50% of the variance in human happiness, knowledge of specific genes is limited. However, recent advances in molecular genetics can now provide a window into neurobiological markers of human happiness. This investigation examines association between happiness and monoamine oxidase A (MAOA) genotype. Data were drawn from a longitudinal study of a population-based cohort, followed for three decades. In women, low expression of MAOA (MAOA-L) was related significantly to greater happiness (0.261 SD increase with one L-allele, 0.522 SD with two L-alleles, P=0.002) after adjusting for the potential effects of age, education, household income, marital status, employment status, mental disorder, physical health, relationship quality, religiosity, abuse history, recent negative life events and self-esteem use in linear regression models. In contrast, no such association was found in men. This new finding may help explain the gender difference on happiness and provide a link between MAOA and human happiness.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
United States 1 <1%
Luxembourg 1 <1%
Unknown 113 96%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 28 24%
Student > Ph. D. Student 17 14%
Student > Master 16 14%
Researcher 13 11%
Student > Postgraduate 9 8%
Other 18 15%
Unknown 17 14%
Readers by discipline Count As %
Psychology 23 19%
Agricultural and Biological Sciences 18 15%
Biochemistry, Genetics and Molecular Biology 13 11%
Social Sciences 11 9%
Medicine and Dentistry 11 9%
Other 21 18%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 22 March 2024.
All research outputs
#789,764
of 25,610,986 outputs
Outputs from Progress in Neuro-Psychopharmacology & Biological Psychiatry
#47
of 2,717 outputs
Outputs of similar age
#4,028
of 180,534 outputs
Outputs of similar age from Progress in Neuro-Psychopharmacology & Biological Psychiatry
#2
of 31 outputs
Altmetric has tracked 25,610,986 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 2,717 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 180,534 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 31 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 93% of its contemporaries.