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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
  8. Altmetric Badge
    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 18: Massively Parallel Sequencing Approaches for Characterization of Structural Variation
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

blogs
1 blog
patent
43 patents

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
86 Mendeley
citeulike
4 CiteULike
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Chapter title
Massively Parallel Sequencing Approaches for Characterization of Structural Variation
Chapter number 18
Book title
Genomic Structural Variants
Published in
Methods in molecular biology, December 2011
DOI 10.1007/978-1-61779-507-7_18
Pubmed ID
Book ISBNs
978-1-61779-506-0, 978-1-61779-507-7
Authors

Koboldt, Daniel C., Larson, David E., Chen, Ken, Ding, Li, Wilson, Richard K., Daniel C. Koboldt, David E. Larson, Ken Chen, Li Ding, Richard K. Wilson

Editors

Lars Feuk

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 3 3%
Germany 1 1%
Netherlands 1 1%
Portugal 1 1%
France 1 1%
Sweden 1 1%
Belgium 1 1%
China 1 1%
Unknown 76 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 22%
Researcher 17 20%
Student > Master 12 14%
Student > Bachelor 10 12%
Other 6 7%
Other 14 16%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 46 53%
Biochemistry, Genetics and Molecular Biology 12 14%
Medicine and Dentistry 7 8%
Computer Science 5 6%
Neuroscience 2 2%
Other 4 5%
Unknown 10 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 27 February 2024.
All research outputs
#2,078,975
of 23,468,283 outputs
Outputs from Methods in molecular biology
#340
of 13,340 outputs
Outputs of similar age
#15,649
of 244,384 outputs
Outputs of similar age from Methods in molecular biology
#26
of 474 outputs
Altmetric has tracked 23,468,283 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,340 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 97% 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 244,384 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 93% of its contemporaries.
We're also able to compare this research output to 474 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.