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Gene, Drug, and Tissue Engineering

Overview of attention for book
Cover of 'Gene, Drug, and Tissue Engineering'

Table of Contents

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    Book Overview
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    Chapter 1 Gene Alterations Induced by Glutamine (Q) Encoding CAG Repeats Associated with Neurodegeneration
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    Chapter 2 Latest Trends in Nucleic Acids’ Engineering Techniques Applied to Precision Medicine
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    Chapter 3 Nanotechnology-Driven Delivery Systems in Inoculation Therapies
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    Chapter 4 Chronic Kidney Disease: Challenges in Translational Medicine
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    Chapter 5 Mass Spectroscopy as an Analytical Tool to Harness the Production of Secondary Plant Metabolites: The Way Forward for Drug Discovery
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    Chapter 6 Assessing the Challenges of Nanotechnology-Driven Targeted Therapies: Development of Magnetically Directed Vectors for Targeted Cancer Therapies and Beyond
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    Chapter 7 Advances in Regenerative Medicine and Biomaterials
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    Chapter 8 A Brief Review of Plant Cell Transfection, Gene Transcript Expression, and Genotypic Integration for Enhancing Compound Production
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    Chapter 9 A Review of Stem Cell Technology Targeting Hepatocyte Growth as an Alternative to Organ Transplantation
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    Chapter 10 Novel Nanotechnology-Driven Prototypes for AI-Enriched Implanted Prosthetics Following Organ Failure
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    Chapter 11 Simplified CRISPR-Mediated DNA Editing in Multicellular Eukaryotes
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    Chapter 12 Design of SaCas9-HF for In Vivo Gene Therapy
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    Chapter 13 Stem Cell Technology in Organ Transplantation: A Novel Method for 3D Bioprinting Functional and Stable Liver Grafts Using Human iPS Cells Derived Cells
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    Chapter 14 In Vitro Assay for the Assessment of Oxygen Depletion Triggers in Human Cell Lines, Associated with Improving Responses to Cancer Therapy
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    Chapter 15 The Use of 99mTc-Labeled Stem Cells for Evaluation of Chronic Kidney Disease
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    Chapter 16 An Automated Strategy to Handle Antigenic Variability in Immunisation Protocols, Part I: Nanopore Sequencing of Infectious Agent Variants
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    Chapter 17 An Automated Strategy to Handle Antigenic Variability in Immunisation Protocols, Part II: In Vitro Transcribed mRNA Vector Design for Inoculation Against Infectious Agent Variants
Attention for Chapter 16: An Automated Strategy to Handle Antigenic Variability in Immunisation Protocols, Part I: Nanopore Sequencing of Infectious Agent Variants
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (64th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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5 X users

Citations

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1 Dimensions

Readers on

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6 Mendeley
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Chapter title
An Automated Strategy to Handle Antigenic Variability in Immunisation Protocols, Part I: Nanopore Sequencing of Infectious Agent Variants
Chapter number 16
Book title
Gene, Drug, and Tissue Engineering
Published in
Methods in molecular biology, October 2022
DOI 10.1007/978-1-0716-2716-7_16
Pubmed ID
Book ISBNs
978-1-07-162715-0, 978-1-07-162716-7
Authors

Pereira, Glaucia C.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 33%
Unspecified 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Unspecified 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Nursing and Health Professions 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 28 October 2022.
All research outputs
#12,855,187
of 22,994,508 outputs
Outputs from Methods in molecular biology
#3,230
of 13,151 outputs
Outputs of similar age
#152,766
of 440,103 outputs
Outputs of similar age from Methods in molecular biology
#35
of 325 outputs
Altmetric has tracked 22,994,508 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,151 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 75% 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 440,103 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 64% of its contemporaries.
We're also able to compare this research output to 325 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.