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Epistasis

Overview of attention for book
Cover of 'Epistasis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Long-Term Selection Experiments: Epistasis and the Response to Selection
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    Chapter 2 Finding the Epistasis Needles in the Genome-Wide Haystack
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    Chapter 3 Biological Knowledge-Driven Analysis of Epistasis in Human GWAS with Application to Lipid Traits.
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    Chapter 4 Epistasis for quantitative traits in Drosophila.
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    Chapter 5 Epistasis in the risk of human neuropsychiatric disease.
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    Chapter 6 On the Partitioning of Genetic Variance with Epistasis
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    Chapter 7 Measuring gene interactions.
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    Chapter 8 Two Rules for the Detection and Quantification of Epistasis and Other Interaction Effects
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    Chapter 9 Direct Approach to Modeling Epistasis
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    Chapter 10 Capacitating Epistasis—Detection and Role in the Genetic Architecture of Complex Traits
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    Chapter 11 Compositional Epistasis: An Epidemiologic Perspective
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    Chapter 12 Identification of Genome-Wide SNP-SNP and SNP-Clinical Boolean Interactions in Age-Related Macular Degeneration.
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    Chapter 13 Epistasis Analysis Using Information Theory
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    Chapter 14 Genome-wide epistasis and pleiotropy characterized by the bipartite human phenotype network.
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    Chapter 15 Network theory for data-driven epistasis networks.
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    Chapter 16 Epistasis analysis using multifactor dimensionality reduction.
  18. Altmetric Badge
    Chapter 17 Epistasis Analysis Using ReliefF
  19. Altmetric Badge
    Chapter 18 Epistasis analysis using artificial intelligence.
Overall attention for this book and its chapters
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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 (94th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

twitter
36 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
73 Mendeley
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Title
Epistasis
Published by
Methods in molecular biology, January 2015
DOI 10.1007/978-1-4939-2155-3
ISBNs
978-1-4939-2154-6, 978-1-4939-2155-3, 978-1-4939-4275-6
Editors

Jason H. Moore, Scott M. Williams

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Colombia 1 1%
Unknown 71 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 26%
Student > Ph. D. Student 16 22%
Student > Master 7 10%
Student > Bachelor 5 7%
Professor 4 5%
Other 8 11%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 32%
Biochemistry, Genetics and Molecular Biology 19 26%
Computer Science 5 7%
Medicine and Dentistry 3 4%
Engineering 2 3%
Other 9 12%
Unknown 12 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 24. 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 2020.
All research outputs
#1,587,868
of 25,658,541 outputs
Outputs from Methods in molecular biology
#195
of 14,319 outputs
Outputs of similar age
#20,853
of 361,059 outputs
Outputs of similar age from Methods in molecular biology
#16
of 998 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,319 research outputs from this source. They receive a mean Attention Score of 3.4. 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 361,059 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 998 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 98% of its contemporaries.