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Cancer Drug Safety and Public Health Policy

Overview of attention for book
Cover of 'Cancer Drug Safety and Public Health Policy'

Table of Contents

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    Book Overview
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    Chapter 1 Fluoroquinolone-Associated Disability and Other Fluoroquinolone-Associated Serious Adverse Events: Unexpected Toxicities Have Emerged in Recent Years
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    Chapter 2 Biosimilar Epoetin in the United States: A View from the Southern Network on Adverse Reactions
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    Chapter 3 Policing of Drug Safety Information Dissemination Under the False Claims Act
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    Chapter 4 Translating Research into Health Policy: The Citizen Petition Experience with the Food and Drug Administration
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    Chapter 5 Systemic Barriers and Potential Concerns from Reporting Serious Adverse Drug Reactions
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    Chapter 6 Was There Something Rotten in Denmark: Nephrogenic System Fibrosis Cases Occurring in Copenhagen
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    Chapter 7 Rituximab-Associated Progressive Multifocal Leukoencephalopathy: A Twenty-Year Update
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    Chapter 8 Maximum Accuracy Machine Learning Statistical Analysis—A Novel Approach
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    Chapter 9 Investigating Severe Adverse Reactions: Examples of the ANTICIPATE Methodology at Work
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    Chapter 10 Consequences to Patients, Clinicians, and Manufacturers When Very Serious Adverse Drug Reactions Are Identified (1997–2019): A Qualitative Analysis from the Southern Network on Adverse Reactions (SONAR)
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    Chapter 11 Moderna, Pfizer-BioNTech, and Johnson & Johnson/Janssen Post-Covid Vaccine Hematological Adverse Events Including Cerebral Venous Sinus Thrombosis (CVST), Thrombotic Thrombocytopenia (VITT), Blood Clots, Increased Vaginal/Menstrual Bleeding and/or Miscarriage, Stillbirth Delivery, or Premature Birth
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    Chapter 12 Investigating Novel Genetic Markers for Fluoroquinolone Associated Disorders
Attention for Chapter 8: Maximum Accuracy Machine Learning Statistical Analysis—A Novel Approach
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Chapter title
Maximum Accuracy Machine Learning Statistical Analysis—A Novel Approach
Chapter number 8
Book title
Cancer Drug Safety and Public Health Policy
Published in
Cancer treatment and research, January 2022
DOI 10.1007/978-3-031-04402-1_8
Pubmed ID
36449192
Book ISBNs
978-3-03-104401-4, 978-3-03-104402-1
Authors

Ugarte, Shannon, Yarnold, Paul, Ray, Paul, Knopf, Kevin, Hoque, Shamia, Taylor, Matthew, Bennett, Charles L.

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 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 30 November 2022.
All research outputs
#21,258,029
of 23,873,907 outputs
Outputs from Cancer treatment and research
#143
of 169 outputs
Outputs of similar age
#424,321
of 516,327 outputs
Outputs of similar age from Cancer treatment and research
#3
of 3 outputs
Altmetric has tracked 23,873,907 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 169 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 1st percentile – i.e., 1% 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 516,327 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.

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