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Virus Hybrids as Nanomaterials

Overview of attention for book
Cover of 'Virus Hybrids as Nanomaterials'

Table of Contents

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    Book Overview
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    Chapter 1 Genetic engineering and chemical conjugation of potato virus x.
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    Chapter 2 Genetically engineering adenoviral vectors for gene therapy.
  4. Altmetric Badge
    Chapter 3 Simulated Digestion for Testing the Stability of Edible Vaccine Based on Cucumber mosaic virus (CMV) Chimeric Particle Display Hepatitis C virus (HCV) Peptide.
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    Chapter 4 Using phage as a platform to select cancer cell-targeting peptides.
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    Chapter 5 Bacteriophage t4 capsid packaging and unpackaging of DNA and proteins.
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    Chapter 6 Templated mineralization by charge-modified cowpea mosaic virus.
  8. Altmetric Badge
    Chapter 7 Polyelectrolyte-modified cowpea mosaic virus for the synthesis of gold nanoparticles.
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    Chapter 8 Tobacco mosaic virus capsid protein as targets for the self-assembly of gold nanoparticles.
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    Chapter 9 Tobacco mosaic virus assembled high aspect ratio surfaces.
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    Chapter 10 Phage as a template to grow bone mineral nanocrystals.
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    Chapter 11 Genetic engineering and characterization of cowpea mosaic virus empty virus-like particles.
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    Chapter 12 A programmable fluorescent viral nanoblock: sensing made easy in a single step.
  14. Altmetric Badge
    Chapter 13 Chemical Modification of the Inner and Outer Surfaces of Tobacco Mosaic Virus (TMV).
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    Chapter 14 Engineered bacteriophage t4 nanoparticles for cellular imaging.
  16. Altmetric Badge
    Chapter 15 Phage-displayed single domain antibodies as recognition elements.
  17. Altmetric Badge
    Chapter 16 Molecular Targeted Viral Nanoparticles as Tools for Imaging Cancer
Attention for Chapter 4: Using phage as a platform to select cancer cell-targeting peptides.
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Chapter title
Using phage as a platform to select cancer cell-targeting peptides.
Chapter number 4
Book title
Virus Hybrids as Nanomaterials
Published in
Methods in molecular biology, October 2013
DOI 10.1007/978-1-62703-751-8_4
Pubmed ID
Book ISBNs
978-1-62703-750-1, 978-1-62703-751-8
Authors

Xin Li, Chuanbin Mao, Li, Xin, Mao, Chuanbin

Editors

Baochuan Lin, Banahalli Ratna

Abstract

One challenge in the development of cancer therapies is the availability of cancer-specific ligands. Recently, phage-displayed peptide libraries have been used for the selection of peptide-based cell-targeting ligands, especially cancer cell ligands. Here we describe the methods to identify SKBR-3 breast cancer cell-specific peptides from a phage-displayed random peptide library. It is possible to select both cell-surface-binding and cell-internalizing peptides using this method. This method can also be applied to the selection of targeting peptides for other adherent cancer cells. The identified short peptides can be potentially incorporated into a variety of early diagnostic and targeted therapeutic systems against breast cancer.

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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Denmark 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Student > Master 5 22%
Professor 3 13%
Student > Postgraduate 2 9%
Other 1 4%
Other 3 13%
Unknown 4 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 39%
Agricultural and Biological Sciences 5 22%
Veterinary Science and Veterinary Medicine 1 4%
Medicine and Dentistry 1 4%
Chemistry 1 4%
Other 0 0%
Unknown 6 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 24 November 2013.
All research outputs
#18,354,532
of 22,731,677 outputs
Outputs from Methods in molecular biology
#7,852
of 13,085 outputs
Outputs of similar age
#158,109
of 212,652 outputs
Outputs of similar age from Methods in molecular biology
#18
of 40 outputs
Altmetric has tracked 22,731,677 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,085 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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 212,652 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.