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The genetics of addiction—a translational perspective

Overview of attention for article published in Translational Psychiatry, July 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 (82nd percentile)

Mentioned by

news
2 news outlets
blogs
3 blogs
twitter
12 X users
facebook
3 Facebook pages

Citations

dimensions_citation
171 Dimensions

Readers on

mendeley
359 Mendeley
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1 CiteULike
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Title
The genetics of addiction—a translational perspective
Published in
Translational Psychiatry, July 2012
DOI 10.1038/tp.2012.54
Pubmed ID
Authors

A Agrawal, K J H Verweij, N A Gillespie, A C Heath, C N Lessov-Schlaggar, N G Martin, E C Nelson, W S Slutske, J B Whitfield, M T Lynskey

Abstract

Addictions are serious and common psychiatric disorders, and are among the leading contributors to preventable death. This selective review outlines and highlights the need for a multi-method translational approach to genetic studies of these important conditions, including both licit (alcohol, nicotine) and illicit (cannabis, cocaine, opiates) drug addictions and the behavioral addiction of disordered gambling. First, we review existing knowledge from twin studies that indicates both the substantial heritability of substance-specific addictions and the genetic overlap across addiction to different substances. Next, we discuss the limited number of candidate genes which have shown consistent replication, and the implications of emerging genomewide association findings for the genetic architecture of addictions. Finally, we review the utility of extensions to existing methods such as novel phenotyping, including the use of endophenotypes, biomarkers and neuroimaging outcomes; emerging methods for identifying alternative sources of genetic variation and accompanying statistical methodologies to interpret them; the role of gene-environment interplay; and importantly, the potential role of genetic variation in suggesting new alternatives for treatment of addictions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
United Kingdom 3 <1%
Pakistan 1 <1%
Brazil 1 <1%
Netherlands 1 <1%
Israel 1 <1%
Canada 1 <1%
Poland 1 <1%
Unknown 346 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 59 16%
Student > Ph. D. Student 55 15%
Student > Bachelor 55 15%
Student > Master 49 14%
Student > Doctoral Student 21 6%
Other 55 15%
Unknown 65 18%
Readers by discipline Count As %
Psychology 68 19%
Medicine and Dentistry 57 16%
Neuroscience 39 11%
Agricultural and Biological Sciences 37 10%
Biochemistry, Genetics and Molecular Biology 29 8%
Other 46 13%
Unknown 83 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 41. 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 19 August 2023.
All research outputs
#1,000,283
of 25,381,864 outputs
Outputs from Translational Psychiatry
#432
of 3,652 outputs
Outputs of similar age
#4,573
of 149,782 outputs
Outputs of similar age from Translational Psychiatry
#5
of 23 outputs
Altmetric has tracked 25,381,864 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 3,652 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 24.3. This one has done well, scoring higher than 88% 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 149,782 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 23 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.