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Pharmacogenomics in Drug Discovery and Development

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Cover of 'Pharmacogenomics in Drug Discovery and Development'

Table of Contents

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    Book Overview
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    Chapter 1 Target Discovery for Drug Development Using Mendelian Randomization
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    Chapter 2 Human Leukocyte Antigen (HLA) Testing in Pharmacogenomics
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    Chapter 3 Pharmacogenomics in Targeted Therapy and Supportive Care Therapies for Cancer
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    Chapter 4 Pharmacogenomics in Cytotoxic Chemotherapy of Cancer
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    Chapter 5 Management of Side Effects in the Personalized Medicine Era: Chemotherapy-Induced Peripheral Neurotoxicity
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    Chapter 6 The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine
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    Chapter 7 Design of Personalized Neoantigen RNA Vaccines Against Cancer Based on Next-Generation Sequencing Data
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    Chapter 8 COVID-19 Pharmacotherapy: Drug Development, Repurposing of Drugs, and the Role of Pharmacogenomics
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    Chapter 9 Pharmacogenomics Informs Cardiovascular Pharmacotherapy
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    Chapter 10 Pharmacogenomic Screening of Drug Candidates using Patient-Specific hiPSC-Derived Cardiomyocyte High-Throughput Calcium Imaging
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    Chapter 11 The Yin-Yang Dynamics in Cardiovascular Pharmacogenomics and Personalized Medicine
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    Chapter 12 GTPγS Assay for Measuring Agonist-Induced Desensitization of Two Human Polymorphic Alpha2B-Adrenoceptor Variants
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    Chapter 13 Pharmacogenomics of Alzheimer’s Disease: Novel Strategies for Drug Utilization and Development
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    Chapter 14 Pharmacogenetics of Antipsychotic Treatment in Schizophrenia
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    Chapter 15 The Pharmacogenetic Impact on the Pharmacokinetics of ADHD Medications
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    Chapter 16 Pharmacogenetics of Addiction Therapy
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    Chapter 17 Pharmacogenomics of Opioid Treatment for Pain Management
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    Chapter 18 The Role of Pharmacogenomics in Postoperative Pain Management
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    Chapter 19 Pharmacogenetics of Drug Therapies in Rheumatoid Arthritis
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    Chapter 20 Pharmacogenomics in Children
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    Chapter 21 Genetic Ancestry Inference for Pharmacogenomics
Attention for Chapter 6: The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine
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Chapter title
The Yin-Yang Dynamics in Cancer Pharmacogenomics and Personalized Medicine
Chapter number 6
Book title
Pharmacogenomics in Drug Discovery and Development
Published in
Methods in molecular biology, January 2022
DOI 10.1007/978-1-0716-2573-6_6
Pubmed ID
Book ISBNs
978-1-07-162572-9, 978-1-07-162573-6
Authors

Yan, Qing

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 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 %
Student > Ph. D. Student 2 33%
Unknown 4 67%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 1 17%
Medicine and Dentistry 1 17%
Unknown 4 67%
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 07 September 2022.
All research outputs
#20,864,077
of 23,479,361 outputs
Outputs from Methods in molecular biology
#9,852
of 12,978 outputs
Outputs of similar age
#20,377,416
of 22,917,702 outputs
Outputs of similar age from Methods in molecular biology
#9,967
of 13,099 outputs
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So far Altmetric has tracked 12,978 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13,099 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.