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Explaining additional genetic variation in complex traits

Overview of attention for article published in Trends in Genetics, March 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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34 X users
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1 Google+ user

Citations

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125 Dimensions

Readers on

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336 Mendeley
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4 CiteULike
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Title
Explaining additional genetic variation in complex traits
Published in
Trends in Genetics, March 2014
DOI 10.1016/j.tig.2014.02.003
Pubmed ID
Authors

Matthew R. Robinson, Naomi R. Wray, Peter M. Visscher

Abstract

Genome-wide association studies (GWAS) have provided valuable insights into the genetic basis of complex traits, discovering >6000 variants associated with >500 quantitative traits and common complex diseases in humans. The associations identified so far represent only a fraction of those that influence phenotype, because there are likely to be many variants across the entire frequency spectrum, each of which influences multiple traits, with only a small average contribution to the phenotypic variance. This presents a considerable challenge to further dissection of the remaining unexplained genetic variance within populations, which limits our ability to predict disease risk, identify new drug targets, improve and maintain food sources, and understand natural diversity. This challenge will be met within the current framework through larger sample size, better phenotyping, including recording of nongenetic risk factors, focused study designs, and an integration of multiple sources of phenotypic and genetic information. The current evidence supports the application of quantitative genetic approaches, and we argue that one should retain simpler theories until simplicity can be traded for greater explanatory power.

X Demographics

X Demographics

The data shown below were collected from the profiles of 34 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 336 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 10 3%
United Kingdom 4 1%
Spain 4 1%
Brazil 4 1%
Germany 2 <1%
Austria 2 <1%
Sweden 2 <1%
Canada 2 <1%
Finland 1 <1%
Other 4 1%
Unknown 301 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 94 28%
Student > Ph. D. Student 75 22%
Student > Master 29 9%
Professor > Associate Professor 26 8%
Professor 20 6%
Other 60 18%
Unknown 32 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 149 44%
Biochemistry, Genetics and Molecular Biology 59 18%
Medicine and Dentistry 37 11%
Psychology 12 4%
Computer Science 8 2%
Other 28 8%
Unknown 43 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 October 2014.
All research outputs
#1,935,311
of 25,374,917 outputs
Outputs from Trends in Genetics
#296
of 2,382 outputs
Outputs of similar age
#19,083
of 235,206 outputs
Outputs of similar age from Trends in Genetics
#2
of 10 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done well, scoring higher than 87% 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 235,206 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 91% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 8 of them.