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eQTL Analysis

Overview of attention for book
Cover of 'eQTL Analysis'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Introductory Methods for eQTL Analyses
  3. Altmetric Badge
    Chapter 2 Performing QTL and eQTL Analyses with the R-Package GenomicTools
  4. Altmetric Badge
    Chapter 3 eQTL Mapping Using Transcription Factor Affinity
  5. Altmetric Badge
    Chapter 4 Identification and Quantification of Splicing Quantitative Trait Loci
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    Chapter 5 Genome-Wide Composite Interval Mapping (GCIM) of Expressional Quantitative Trait Loci in Backcross Population
  7. Altmetric Badge
    Chapter 6 Combining eQTL and SNP Annotation Data to Identify Functional Noncoding SNPs in GWAS Trait-Associated Regions
  8. Altmetric Badge
    Chapter 7 Statistical and Machine Learning Methods for eQTL Analysis
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    Chapter 8 Sparse Regression Models for Unraveling Group and Individual Associations in eQTL Mapping
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    Chapter 9 Exploring Bayesian Approaches to eQTL Mapping Through Probabilistic Programming
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    Chapter 10 High-Order Association Mapping for Expression Quantitative Trait Loci
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    Chapter 11 Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis
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    Chapter 12 Sparse Partial Least Squares Methods for Joint Modular Pattern Discovery
  14. Altmetric Badge
    Chapter 13 Expression Quantitative Trait Loci (eQTL) Analysis in Cancer
  15. Altmetric Badge
    Chapter 14 QTL Analysis Beyond eQTLs
  16. Altmetric Badge
    Chapter 15 Quantitative Trait Loci (QTL) Mapping
  17. Altmetric Badge
    Chapter 16 Expression Quantitative Trait Loci Analysis in Multiple Tissues
  18. Altmetric Badge
    Chapter 17 Tissue-Specific eQTL in Zebrafish
Attention for Chapter 15: Quantitative Trait Loci (QTL) Mapping
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

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Readers on

184 Mendeley
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Chapter title
Quantitative Trait Loci (QTL) Mapping
Chapter number 15
Book title
eQTL Analysis
Published in
Methods in molecular biology, December 2019
DOI 10.1007/978-1-0716-0026-9_15
Pubmed ID
Book ISBNs
978-1-07-160025-2, 978-1-07-160026-9

Kara E. Powder, Powder, Kara E.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 184 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 3 2%
Pakistan 1 <1%
United Kingdom 1 <1%
Saudi Arabia 1 <1%
Sri Lanka 1 <1%
Philippines 1 <1%
Unknown 176 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 23%
Researcher 36 20%
Student > Master 21 11%
Student > Bachelor 14 8%
Student > Doctoral Student 10 5%
Other 23 13%
Unknown 37 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 110 60%
Biochemistry, Genetics and Molecular Biology 17 9%
Medicine and Dentistry 4 2%
Environmental Science 3 2%
Computer Science 2 1%
Other 10 5%
Unknown 38 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 March 2024.
All research outputs
of 25,552,205 outputs
Outputs from Methods in molecular biology
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Outputs of similar age
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Outputs of similar age from Methods in molecular biology
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Altmetric has tracked 25,552,205 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,293 research outputs from this source. They receive a mean Attention Score of 3.5. This one has gotten more attention than average, scoring higher than 74% 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 479,086 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.