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Epstein Barr Virus

Overview of attention for book
Cover of 'Epstein Barr Virus'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Current Trends and Alternative Scenarios in EBV Research.
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    Chapter 2 Epstein-Barr Virus: Clinical Diagnostics.
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    Chapter 3 Establishment of EBV-Infected Lymphoblastoid Cell Lines.
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    Chapter 4 Generation and Infection of Organotypic Cultures with Epstein-Barr Virus.
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    Chapter 5 Affinity Purification-Mass Spectroscopy Methods for Identifying Epstein-Barr Virus-Host Interactions.
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    Chapter 6 The Use of 3D Telomere FISH for the Characterization of the Nuclear Architecture in EBV-Positive Hodgkin's Lymphoma.
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    Chapter 7 Analysis of EBV Transcription Using High-Throughput RNA Sequencing.
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    Chapter 8 Analysis of Viral Promoter Usage in EBV-Infected Cell Lines: A Comparison of qPCR Following Conventional RNA Isolation and Nuclear Run-On Assay.
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    Chapter 9 Analysis of Viral and Cellular MicroRNAs in EBV-Infected Cells.
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    Chapter 10 Isolation and Characterization of Exosomes Released by EBV-Immortalized Cells.
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    Chapter 11 Functional Analysis of Exosomes Derived from EBV-Infected Cells.
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    Chapter 12 Terminal Repeat Analysis of EBV Genomes.
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    Chapter 13 Characterization of EBV Promoters and Coding Regions by Sequencing PCR-Amplified DNA Fragments.
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    Chapter 14 The Use of Chromatin Precipitation Coupled to DNA Sequencing (ChIP-Seq) for the Analysis of Zta Binding to the Human and EBV Genome.
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    Chapter 15 Analysis of Viral Epigenotypes Using Bisulfite Sequencing: A Detailed Protocol for the Crucial Bisulfite Modification and PCR Amplification Steps.
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    Chapter 16 Analysis of Viral Epigenotypes Using Chromatin Immunoprecipitation.
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    Chapter 17 Mice with Reconstituted Human Immune System Components as a Tool to Study Immune Cell Interactions in EBV Infection.
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    Chapter 18 Generation and Analysis of Humanized Mouse Model of EBV Infection.
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    Chapter 19 EBV-Directed T Cell Therapeutics for EBV-Associated Lymphomas.
Attention for Chapter 7: Analysis of EBV Transcription Using High-Throughput RNA Sequencing.
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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2 X users

Citations

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Chapter title
Analysis of EBV Transcription Using High-Throughput RNA Sequencing.
Chapter number 7
Book title
Epstein Barr Virus
Published in
Methods in molecular biology, January 2017
DOI 10.1007/978-1-4939-6655-4_7
Pubmed ID
27873270
Book ISBNs
978-1-4939-6653-0, 978-1-4939-6655-4
Authors

Tina O’Grady, Melody Baddoo, Erik K. Flemington, O'Grady, Tina, Baddoo, Melody, Flemington, Erik K.

Editors

Janos Minarovits, Hans Helmut Niller

Abstract

High-throughput sequencing of RNA is used to analyze the transcriptomes of viruses and cells, providing information about transcript structure and abundance. A wide array of programs and pipelines has been created to manage and interpret the abundance of data generated from high-throughput RNA sequencing experiments. This protocol details the use of free and open-source programs to align RNA-Seq reads to a reference genome, visualize read coverage and splice junctions, estimate transcript abundance, and evaluate differential expression of transcripts in different conditions. Particular concerns related to EBV and viral transcriptomics are addressed and access to EBV reference files is provided.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 27%
Student > Doctoral Student 2 18%
Researcher 2 18%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 1 9%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 27%
Medicine and Dentistry 3 27%
Agricultural and Biological Sciences 2 18%
Environmental Science 1 9%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 17 January 2018.
All research outputs
#3,938,229
of 22,903,988 outputs
Outputs from Methods in molecular biology
#1,008
of 13,133 outputs
Outputs of similar age
#78,477
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#115
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 92% 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 420,462 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 81% of its contemporaries.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.

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