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The differential view of genotype–phenotype relationships

Overview of attention for article published in Frontiers in Genetics, May 2015
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
twitter
37 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page
googleplus
2 Google+ users

Citations

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101 Dimensions

Readers on

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360 Mendeley
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Title
The differential view of genotype–phenotype relationships
Published in
Frontiers in Genetics, May 2015
DOI 10.3389/fgene.2015.00179
Pubmed ID
Authors

Virginie Orgogozo, Baptiste Morizot, Arnaud Martin

Abstract

An integrative view of diversity and singularity in the living world requires a better understanding of the intricate link between genotypes and phenotypes. Here we re-emphasize the old standpoint that the genotype-phenotype (GP) relationship is best viewed as a connection between two differences, one at the genetic level and one at the phenotypic level. As of today, predominant thinking in biology research is that multiple genes interact with multiple environmental variables (such as abiotic factors, culture, or symbionts) to produce the phenotype. Often, the problem of linking genotypes and phenotypes is framed in terms of genotype and phenotype maps, and such graphical representations implicitly bring us away from the differential view of GP relationships. Here we show that the differential view of GP relationships is a useful explanatory framework in the context of pervasive pleiotropy, epistasis, and environmental effects. In such cases, it is relevant to view GP relationships as differences embedded into differences. Thinking in terms of differences clarifies the comparison between environmental and genetic effects on phenotypes and helps to further understand the connection between genotypes and phenotypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 360 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Portugal 2 <1%
United Kingdom 1 <1%
Spain 1 <1%
Canada 1 <1%
Unknown 349 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 65 18%
Researcher 53 15%
Student > Master 51 14%
Student > Bachelor 51 14%
Student > Doctoral Student 22 6%
Other 50 14%
Unknown 68 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 143 40%
Biochemistry, Genetics and Molecular Biology 69 19%
Medicine and Dentistry 15 4%
Computer Science 8 2%
Veterinary Science and Veterinary Medicine 7 2%
Other 41 11%
Unknown 77 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 23 March 2023.
All research outputs
#1,242,177
of 26,175,232 outputs
Outputs from Frontiers in Genetics
#213
of 13,867 outputs
Outputs of similar age
#14,705
of 281,802 outputs
Outputs of similar age from Frontiers in Genetics
#6
of 108 outputs
Altmetric has tracked 26,175,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,867 research outputs from this source. They receive a mean Attention Score of 3.8. 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 281,802 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 94% of its contemporaries.
We're also able to compare this research output to 108 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 94% of its contemporaries.