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The Impact of Variation in Twin Relatedness on Estimates of Heritability and Environmental Influences

Overview of attention for article published in Behavior Genetics, November 2017
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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 (#46 of 722)
  • High Attention Score compared to outputs of the same age (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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44 tweeters

Citations

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4 Dimensions

Readers on

mendeley
13 Mendeley
Title
The Impact of Variation in Twin Relatedness on Estimates of Heritability and Environmental Influences
Published in
Behavior Genetics, November 2017
DOI 10.1007/s10519-017-9875-x
Pubmed ID
Authors

Chang Liu, Peter C. M. Molenaar, Jenae M. Neiderhiser

Abstract

By taking advantage of the natural variation in genetic relatedness among identical (monozygotic: MZ) and fraternal (dizygotic: DZ) twins, twin studies are able to estimate genetic and environmental contributions to complex human behaviors. Recently concerns have been raised about the accuracy of twin studies in light of findings of genetic and epigenetic changes in twins. One of the concerns raised is that MZ twins are not 100% genetically and epigenetically similar because they show variations in their genomes and epigenomes leading to inaccurate estimates of heritability. This article presents findings from a simulation study that examined the degree of bias in estimates of heritability and environmentality when the genetic and epigenetic similarity of MZ twins differs from 1.00 and when the genetic and epigenetic similarity of DZ twins differs from 0.50. The findings suggest that in the standard biometric model when MZ or DZ twin similarity differs from 1.00 or 0.50, respectively, the variance that should be attributed to genetic influences is instead attributed to nonshared environmental influences, thus deflating the estimates of genetic influences and inflating the estimates of nonshared environmental influences. Although estimates of genetic and nonshared environmental influences from the standard biometric model were found to deviate from "true" values, the bias was usually smaller than 10% points indicating that the interpretations of findings from previous twin studies are mostly correct.

Twitter Demographics

The data shown below were collected from the profiles of 44 tweeters 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Student > Bachelor 3 23%
Student > Doctoral Student 3 23%
Student > Ph. D. Student 1 8%
Student > Postgraduate 1 8%
Other 2 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Unspecified 3 23%
Psychology 3 23%
Social Sciences 1 8%
Medicine and Dentistry 1 8%
Other 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 06 August 2019.
All research outputs
#714,019
of 13,366,023 outputs
Outputs from Behavior Genetics
#46
of 722 outputs
Outputs of similar age
#29,513
of 312,402 outputs
Outputs of similar age from Behavior Genetics
#2
of 9 outputs
Altmetric has tracked 13,366,023 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 722 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. 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 312,402 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 90% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.