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Pharmacogenomics in Drug Discovery and Development

Overview of attention for book
Cover of 'Pharmacogenomics in Drug Discovery and Development'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
  15. Altmetric Badge
    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 18: The Role of Pharmacogenomics in Postoperative Pain Management
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Chapter title
The Role of Pharmacogenomics in Postoperative Pain Management
Chapter number 18
Book title
Pharmacogenomics in Drug Discovery and Development
Published in
Methods in molecular biology, September 2022
DOI 10.1007/978-1-0716-2573-6_18
Pubmed ID
Book ISBNs
978-1-07-162572-9, 978-1-07-162573-6
Authors

Sachtleben, E. Paylor, Rooney, Kelsey, Haddad, Hannah, Lassiegne, Victoria L., Boudreaux, Megan, Cornett, Elyse M., Kaye, Alan D., E. Paylor Sachtleben, Kelsey Rooney, Hannah Haddad, Victoria L. Lassiegne, Megan Boudreaux, Elyse M. Cornett, Alan D. Kaye

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

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 17%
Student > Bachelor 1 8%
Student > Postgraduate 1 8%
Unknown 8 67%
Readers by discipline Count As %
Medicine and Dentistry 2 17%
Immunology and Microbiology 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Unknown 8 67%
Attention Score in Context

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 04 May 2023.
All research outputs
#13,970,197
of 23,671,454 outputs
Outputs from Methods in molecular biology
#3,799
of 13,343 outputs
Outputs of similar age
#179,850
of 434,844 outputs
Outputs of similar age from Methods in molecular biology
#25
of 157 outputs
Altmetric has tracked 23,671,454 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,343 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 69% 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 434,844 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 56% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.