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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dose—Response Relationships

Authors: Rolf Hartung;

Dose—Response Relationships

Abstract

One of the most powerful tools in the analysis of toxicological events is the description of the intensity of the exposure in terms of dose, dose rate, or concentration for a specified duration of exposure in relation to the frequency or intensity of the observed responses. Dose-response relationships have received a generic treatment in all general textbooks of toxicology, such as those by Loomis (1974), Doull et al. (1980), and Hapke (1975). The statistical risk of experiencing an effect from an exposure to a chemical can be attributed to the interaction of several important factors. As noted in Chapter 1, this complex relationship of dose to response was already recognized as early as the 16th century by Paracelsus. To restate his observations as they apply in contemporary toxicology—a sufficiently high dose of any compound will produce severe adverse effects in all exposed organisms. Conversely, a sufficiently low dose of any compound will produce no significant effects that can be experimentally determined, no matter how sophisticated or extensive the experiment.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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