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In vitro Environmental Toxicology - Concepts, Application and Assessment

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Attention for Chapter 5015: Advancing In Vitro–In Vivo Extrapolations of Mechanism-Specific Toxicity Data Through Toxicokinetic Modeling
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Chapter title
Advancing In Vitro–In Vivo Extrapolations of Mechanism-Specific Toxicity Data Through Toxicokinetic Modeling
Chapter number 5015
Book title
In vitro Environmental Toxicology - Concepts, Application and Assessment
Published in
Advances in biochemical engineering biotechnology, January 2016
DOI 10.1007/10_2015_5015
Pubmed ID
Book ISBNs
978-3-31-945906-6, 978-3-31-945908-0
Authors

Markus Brinkmann, Thomas G. Preuss, Henner Hollert

Abstract

International legislation, such as the European REACH regulation (registration, evaluation, authorization, and restriction of chemicals), mandates the assessment of potential risks of an ever-growing number of chemicals to the environment and human health. Although this legislation is considered one of the most important investments in consumer safety ever, the downside is that the current testing strategies within REACH rely on extensive animal testing. To address the ethical conflicts arising from these increased testing requirements, decision-makers, such as the European Chemicals Agency (ECHA), are committed to Russel and Burch's 3R principle (i.e., reduction, replacement, refinement) by demanding that animal experiments should be substituted with appropriate alternatives whenever possible. A potential solution of this dilemma might be the application of in vitro bioassays to estimate toxic effects using cells or cellular components instead of whole organisms. Although such assays are particularly useful to assess potential mechanisms of toxic action, scientists require appropriate methods to extrapolate results from the in vitro level to the situation in vivo. Toxicokinetic models are a straightforward means of bridging this gap. The present chapter describes different available options for in vitro-in vivo extrapolation (IVIVE) of mechanism-specific effects focused on fish species and also reviews the implications of confounding factors during the conduction of in vitro bioassays and their influence on the optimal choice of different dose metrics.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Student > Master 8 22%
Student > Bachelor 3 8%
Other 3 8%
Student > Doctoral Student 2 6%
Other 5 14%
Unknown 6 17%
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 9 25%
Environmental Science 4 11%
Medicine and Dentistry 4 11%
Agricultural and Biological Sciences 3 8%
Social Sciences 2 6%
Other 3 8%
Unknown 11 31%
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 14 September 2016.
All research outputs
#18,471,305
of 22,888,307 outputs
Outputs from Advances in biochemical engineering biotechnology
#148
of 225 outputs
Outputs of similar age
#284,573
of 393,716 outputs
Outputs of similar age from Advances in biochemical engineering biotechnology
#15
of 23 outputs
Altmetric has tracked 22,888,307 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 225 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 20th percentile – i.e., 20% 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 393,716 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.