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High-Throughput Next Generation Sequencing

Overview of attention for book
Cover of 'High-Throughput Next Generation Sequencing'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Helicos Single-Molecule Sequencing of Bacterial Genomes
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    Chapter 2 Whole-Genome Sequencing of Unculturable Bacterium Using Whole-Genome Amplification
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    Chapter 3 RNA Sequencing and Quantitation Using the Helicos Genetic Analysis System
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    Chapter 4 Transcriptome Profiling Using Single-Molecule Direct RNA Sequencing
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    Chapter 5 Discovery of Bacterial sRNAs by High-Throughput Sequencing
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    Chapter 6 Identification of Virus Encoding MicroRNAs Using 454 FLX Sequencing Platform
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    Chapter 7 Ribosomal RNA Depletion for Massively Parallel Bacterial RNA-Sequencing Applications
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    Chapter 8 Integrating High-Throughput Pyrosequencing and Quantitative Real-Time PCR to Analyze Complex Microbial Communities
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    Chapter 9 Tag-encoded FLX amplicon pyrosequencing for the elucidation of microbial and functional gene diversity in any environment.
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    Chapter 10 Pyrosequencing of Chaperonin-60 ( cpn60 ) Amplicons as a Means of Determining Microbial Community Composition
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    Chapter 11 Prescreening of Microbial Populations for the Assessment of Sequencing Potential
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    Chapter 12 Metagenomics.
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    Chapter 13 Metagenomic Analysis of Intestinal Microbiomes in Chickens
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    Chapter 14 Gene expression profiling: metatranscriptomics.
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    Chapter 15 High-Throughput Insertion Tracking by Deep Sequencing for the Analysis of Bacterial Pathogens
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    Chapter 16 Determining DNA Methylation Profiles Using Sequencing
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    Chapter 17 Preparation of Next-Generation Sequencing Libraries Using Nextera™ Technology: Simultaneous DNA Fragmentation and Adaptor Tagging by In Vitro Transposition
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    Chapter 18 Amplification-Free Library Preparation for Paired-End Illumina Sequencing
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    Chapter 19 Target-Enrichment Through Amplification of Hairpin-Ligated Universal Targets for Next-Generation Sequencing Analysis
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    Chapter 20 96-Plex Molecular Barcoding for the Illumina Genome Analyzer
Attention for Chapter 17: Preparation of Next-Generation Sequencing Libraries Using Nextera™ Technology: Simultaneous DNA Fragmentation and Adaptor Tagging by In Vitro Transposition
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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 (88th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

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Chapter title
Preparation of Next-Generation Sequencing Libraries Using Nextera™ Technology: Simultaneous DNA Fragmentation and Adaptor Tagging by In Vitro Transposition
Chapter number 17
Book title
High-Throughput Next Generation Sequencing
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-089-8_17
Pubmed ID
Book ISBNs
978-1-61779-088-1, 978-1-61779-089-8
Authors

Nicholas Caruccio, Caruccio, Nicholas

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Japan 1 1%
United Kingdom 1 1%
Belgium 1 1%
Unknown 85 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 20 22%
Researcher 15 17%
Student > Ph. D. Student 13 14%
Student > Bachelor 11 12%
Student > Doctoral Student 6 7%
Other 12 13%
Unknown 13 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 40%
Biochemistry, Genetics and Molecular Biology 23 26%
Medicine and Dentistry 3 3%
Engineering 2 2%
Computer Science 2 2%
Other 8 9%
Unknown 16 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 April 2024.
All research outputs
#3,322,539
of 23,495,502 outputs
Outputs from Methods in molecular biology
#756
of 13,367 outputs
Outputs of similar age
#20,401
of 183,795 outputs
Outputs of similar age from Methods in molecular biology
#19
of 233 outputs
Altmetric has tracked 23,495,502 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,367 research outputs from this source. They receive a mean Attention Score of 3.4. 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 183,795 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 88% of its contemporaries.
We're also able to compare this research output to 233 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 91% of its contemporaries.