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Genomic Structural Variants

Overview of attention for book
Cover of 'Genomic Structural Variants'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 What Have Studies of Genomic Disorders Taught Us About Our Genome?
  3. Altmetric Badge
    Chapter 2 Microdeletion and microduplication syndromes.
  4. Altmetric Badge
    Chapter 3 Structural Genomic Variation in Intellectual Disability
  5. Altmetric Badge
    Chapter 4 Copy Number Variation and Psychiatric Disease Risk
  6. Altmetric Badge
    Chapter 5 Detection and characterization of copy number variation in autism spectrum disorder.
  7. Altmetric Badge
    Chapter 6 Structural Variation in Subtelomeres
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    Chapter 7 Array-Based Approaches in Prenatal Diagnosis
  9. Altmetric Badge
    Chapter 8 Structural Variation and Its Effect on Expression
  10. Altmetric Badge
    Chapter 9 The Challenges of Studying Complex and Dynamic Regions of the Human Genome
  11. Altmetric Badge
    Chapter 10 Population Genetic Nature of Copy Number Variation
  12. Altmetric Badge
    Chapter 11 Detection and interpretation of genomic structural variation in mammals.
  13. Altmetric Badge
    Chapter 12 Structural Genetic Variation in the Context of Somatic Mosaicism
  14. Altmetric Badge
    Chapter 13 Online resources for genomic structural variation.
  15. Altmetric Badge
    Chapter 14 Algorithm Implementation for CNV Discovery Using Affymetrix and Illumina SNP Array Data
  16. Altmetric Badge
    Chapter 15 Targeted Screening and Validation of Copy Number Variations
  17. Altmetric Badge
    Chapter 16 High-Resolution Copy Number Profiling by Array CGH Using DNA Isolated from Formalin-Fixed, Paraffin-Embedded Tissues
  18. Altmetric Badge
    Chapter 17 Characterizing and Interpreting Genetic Variation from Personal Genome Sequencing
  19. Altmetric Badge
    Chapter 18 Massively Parallel Sequencing Approaches for Characterization of Structural Variation
Attention for Chapter 13: Online resources for genomic structural variation.
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Chapter title
Online resources for genomic structural variation.
Chapter number 13
Book title
Genomic Structural Variants
Published in
Methods in molecular biology, January 2012
DOI 10.1007/978-1-61779-507-7_13
Pubmed ID
Book ISBNs
978-1-61779-506-0, 978-1-61779-507-7
Authors

Sneddon TP, Church DM, Tam P. Sneddon, Deanna M. Church, Sneddon, Tam P., Church, Deanna M.

Editors

Lars Feuk

Abstract

Genomic structural variation (SV) can be thought of on a continuum from a single base pair insertion/deletion (INDEL) to large megabase-scale rearrangements involving insertions, deletions, duplications, inversions, or translocations of whole chromosomes or chromosome arms. These variants can occur in coding or noncoding DNA, they can be inherited or arise sporadically in the germline or somatic cells. Many of these events are segregating in the population and can be considered common alleles while others are new alleles and thus rare events. All species studied to date harbor structural variants and these may be benign, contributing to phenotypes such as sensory perception and immunity, or pathogenic resulting in genomic disorders including DiGeorge/velocardiofacial, Smith-Margenis, Williams-Beuren, and Prader-Willi syndromes. As structural variants are identified, validated, and their significance, origin, and prevalence are elucidated, it is of critical importance that these data be collected and collated in a way that can be easily accessed and analyzed. This chapter describes current structural variation online resources (see Fig. 1 and Table 1), highlights the challenges in capturing, storing, and displaying SV data, and discusses how dbVar and DGVa, the genomic structural variation databases developed at NCBI and EBI, respectively, were designed to address these issues.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 4%
Italy 2 4%
China 1 2%
Brazil 1 2%
Unknown 40 87%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 30%
Student > Ph. D. Student 7 15%
Student > Master 6 13%
Student > Bachelor 5 11%
Other 4 9%
Other 5 11%
Unknown 5 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 16 35%
Biochemistry, Genetics and Molecular Biology 7 15%
Medicine and Dentistry 6 13%
Psychology 4 9%
Computer Science 3 7%
Other 5 11%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 11 November 2010.
All research outputs
#5,846,896
of 22,662,201 outputs
Outputs from Methods in molecular biology
#1,693
of 13,020 outputs
Outputs of similar age
#52,319
of 243,373 outputs
Outputs of similar age from Methods in molecular biology
#113
of 475 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,020 research outputs from this source. They receive a mean Attention Score of 3.3. This one has done well, scoring higher than 86% 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 243,373 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 475 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.