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Good Research Practice in Non-Clinical Pharmacology and Biomedicine

Overview of attention for book
Cover of 'Good Research Practice in Non-Clinical Pharmacology and Biomedicine'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 274 Quality in Non-GxP Research Environment
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    Chapter 275 Guidelines and Initiatives for Good Research Practice
  4. Altmetric Badge
    Chapter 276 Learning from Principles of Evidence-Based Medicine to Optimize Nonclinical Research Practices
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    Chapter 277 General Principles of Preclinical Study Design
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    Chapter 278 Resolving the Tension Between Exploration and Confirmation in Preclinical Biomedical Research
  7. Altmetric Badge
    Chapter 279 Blinding and Randomization
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    Chapter 280 Out of Control? Managing Baseline Variability in Experimental Studies with Control Groups
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    Chapter 281 Quality of Research Tools
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    Chapter 282 Genetic Background and Sex: Impact on Generalizability of Research Findings in Pharmacology Studies
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    Chapter 284 Minimum Information and Quality Standards for Conducting, Reporting, and Organizing In Vitro Research.
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    Chapter 285 Minimum Information in In Vivo Research.
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    Chapter 286 A Reckless Guide to P-values
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    Chapter 288 Data Storage
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    Chapter 290 Publishers’ Responsibilities in Promoting Data Quality and Reproducibility
  16. Altmetric Badge
    Chapter 291 Quality Governance in Biomedical Research
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    Chapter 292 Good Research Practice: Lessons from Animal Care and Use
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    Chapter 293 Research Collaborations and Quality in Research: Foes or Friends?
  19. Altmetric Badge
    Chapter 294 Costs of Implementing Quality in Research Practice
Attention for Chapter: Building Robustness into Translational Research.
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

blogs
1 blog

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
8 Mendeley
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Chapter title
Building Robustness into Translational Research.
Book title
Good Research Practice in Non-Clinical Pharmacology and Biomedicine
Published in
Handbook of experimental pharmacology, October 2019
DOI 10.1007/164_2019_283
Pubmed ID
Book ISBNs
978-3-03-033655-4, 978-3-03-033656-1
Authors

Betül R. Erdogan, Martin C. Michel

Abstract

Nonclinical studies form the basis for the decision whether to take a therapeutic candidate into the clinic. These studies need to exhibit translational robustness for both ethical and economic reasons. Key findings confirmed in multiple species have a greater chance to also occur in humans. Given the heterogeneity of patient populations, preclinical studies or at least programs comprising multiple studies need to reflect such heterogeneity, e.g., regarding strains, sex, age, and comorbidities of experimental animals. However, introducing such heterogeneity requires larger studies/programs to maintain statistical power in the face of greater variability. In addition to classic sources of bias, e.g., related to lack of randomization and concealment, translational studies face specific sources of potential bias such as that introduced by a model that may not reflect the full spectrum of underlying pathophysiology in patients, that defined by timing of treatment, or that implied in dosing decisions and interspecies differences in pharmacokinetic profiles. The balance of all these factors needs to be considered carefully for each study and program.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 50%
Researcher 2 25%
Student > Bachelor 1 13%
Other 1 13%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 3 38%
Agricultural and Biological Sciences 3 38%
Biochemistry, Genetics and Molecular Biology 1 13%
Design 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 22 November 2019.
All research outputs
#5,852,252
of 23,177,498 outputs
Outputs from Handbook of experimental pharmacology
#166
of 650 outputs
Outputs of similar age
#105,539
of 352,768 outputs
Outputs of similar age from Handbook of experimental pharmacology
#4
of 8 outputs
Altmetric has tracked 23,177,498 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one has gotten more attention than average, scoring higher than 73% 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 352,768 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 69% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.