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Antiviral RNAi

Overview of attention for book
Cover of 'Antiviral RNAi'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Defense and Counterdefense in the RNAi-Based Antiviral Immune System in Insects
  3. Altmetric Badge
    Chapter 2 RNAi and Cellular miRNAs in Infections by Mammalian Viruses
  4. Altmetric Badge
    Chapter 3 Viral miRNAs
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    Chapter 4 Progress in RNAi-Based Antiviral Therapeutics
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    Chapter 5 Chemical Modification of Small Interfering RNA
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    Chapter 6 Viral Small RNA Cloning and Sequencing
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    Chapter 7 Visitor, an informatic pipeline for analysis of viral siRNA sequencing datasets.
  9. Altmetric Badge
    Chapter 8 Computational prediction of viral miRNAs.
  10. Altmetric Badge
    Chapter 9 Antiviral RNAi
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    Chapter 10 Detection of viral microRNA with S1 nuclease protection assay.
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    Chapter 11 Characterization of RISC-Associated Adenoviral Small RNAs
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    Chapter 12 Identification of Viral Suppressors of RNAi by a Reporter Assay in Drosophila S2 Cell Culture
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    Chapter 13 Dicer Assay in Drosophila S2 Cell Extract
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    Chapter 14 Slicer Activity in Drosophila melanogaster S2 Extract
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    Chapter 15 Gel Mobility Shift Assays for RNA Binding Viral RNAi Suppressors
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    Chapter 16 dsRNA Uptake in Adult Drosophila
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    Chapter 17 Design of Small Interfering RNAs for Antiviral Applications
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    Chapter 18 RNAi-inducing lentiviral vectors for anti-HIV-1 gene therapy.
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    Chapter 19 Production of Multicopy shRNA Lentiviral Vectors for Antiviral Therapy
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    Chapter 20 Intranasal Delivery of Antiviral siRNA
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    Chapter 21 Antibody-Mediated Delivery of siRNAs for Anti-HIV Therapy
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    Chapter 22 Aptamer-Targeted RNAi for HIV-1 Therapy
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    Chapter 23 RNAi Screening for Host Factors Involved in Viral Infection Using Drosophila Cells
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    Chapter 24 Genome-Wide RNAi Screen for Viral Replication in Mammalian Cell Culture
  26. Altmetric Badge
    Chapter 25 RNAi Screening in Mammalian Cells to Identify Novel Host Cell Molecules Involved in the Regulation of Viral Infections
  27. Altmetric Badge
    Chapter 26 Production of Multicopy shRNA Lentiviral Vectors for Antiviral Therapy
Attention for Chapter 8: Computational prediction of viral miRNAs.
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
1 tweeter
peer_reviews
1 peer review site

Citations

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7 Dimensions

Readers on

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23 Mendeley
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Chapter title
Computational prediction of viral miRNAs.
Chapter number 8
Book title
Antiviral RNAi
Published in
Methods in molecular biology, January 2011
DOI 10.1007/978-1-61779-037-9_8
Pubmed ID
Book ISBNs
978-1-61779-036-2, 978-1-61779-037-9
Authors

Adam Grundhoff

Abstract

While cloning and/or massive parallel sequencing of small RNAs represent powerful tools for the discovery of novel miRNAs, computational miRNA prediction represents a valuable alternative which can be performed with comparably little technical effort. This is especially true for viruses, as the number of predicted candidates generally remains low and thus within a range that may be readily confirmed by experimental means. Here, we provide a detailed protocol for the prediction of putative miRNA genes using VMir, an ab initio prediction program which we have recently designed specifically to identify pre-miRNAs in viral genomes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 4%
United States 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 17%
Student > Doctoral Student 3 13%
Student > Master 3 13%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Other 3 13%
Unknown 6 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 43%
Biochemistry, Genetics and Molecular Biology 4 17%
Computer Science 1 4%
Psychology 1 4%
Unknown 7 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 May 2014.
All research outputs
#1,907,413
of 3,814,345 outputs
Outputs from Methods in molecular biology
#631
of 2,567 outputs
Outputs of similar age
#49,517
of 113,339 outputs
Outputs of similar age from Methods in molecular biology
#60
of 342 outputs
Altmetric has tracked 3,814,345 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,567 research outputs from this source. They receive a mean Attention Score of 1.5. This one has gotten more attention than average, scoring higher than 70% 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 113,339 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 50% of its contemporaries.
We're also able to compare this research output to 342 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.