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A model of gene-gene and gene-environment interactions and its implications for targeting environmental interventions by genotype

Overview of attention for article published in Theoretical Biology and Medical Modelling, October 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#17 of 272)
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
policy
1 policy source
twitter
1 tweeter

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
40 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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Title
A model of gene-gene and gene-environment interactions and its implications for targeting environmental interventions by genotype
Published in
Theoretical Biology and Medical Modelling, October 2006
DOI 10.1186/1742-4682-3-35
Pubmed ID
Authors

Helen M Wallace

Abstract

The potential public health benefits of targeting environmental interventions by genotype depend on the environmental and genetic contributions to the variance of common diseases, and the magnitude of any gene-environment interaction. In the absence of prior knowledge of all risk factors, twin, family and environmental data may help to define the potential limits of these benefits in a given population. However, a general methodology to analyze twin data is required because of the potential importance of gene-gene interactions (epistasis), gene-environment interactions, and conditions that break the 'equal environments' assumption for monozygotic and dizygotic twins.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 25%
Researcher 6 15%
Professor 5 13%
Student > Doctoral Student 3 8%
Professor > Associate Professor 3 8%
Other 9 23%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 28%
Medicine and Dentistry 8 20%
Psychology 4 10%
Biochemistry, Genetics and Molecular Biology 4 10%
Computer Science 1 3%
Other 5 13%
Unknown 7 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 09 April 2017.
All research outputs
#1,282,461
of 17,360,236 outputs
Outputs from Theoretical Biology and Medical Modelling
#17
of 272 outputs
Outputs of similar age
#13,996
of 175,169 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 17,360,236 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 272 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.9. This one has done particularly well, scoring higher than 93% 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 175,169 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 92% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them