Cited by 193Effects of Radiation ExposureCarcinogens and Genotoxicity AssessmentEnvironmental Toxicology and Ecotoxicology

The DOI matches its Crossref record.

Is a Little Pollution Good for You?

Elliott, Kevin·2011·Oxford University Press eBooks

Abstract

Could low-level exposure to polluting chemicals be analogous to exercise - a beneficial source of stress that strengthens the body? Some scientists studying the phenomenon of hormesis claim that that this may be the case. This text critically examines the current evidence for hormesis.

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Crossref · 10.1093/acprof:oso/9780199755622.001.0001

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Metadata

Authors
Elliott, K.
Corresponding author
Elliott, Kevin
Venue
Oxford University Press eBooks
Published
2011-01-07
OpenAlex
W4245339249
Cited by
193
References
0
Citations by year
2026: 3 · 2025: 4 · 2024: 7 · 2023: 10 · 2022: 5 · 2021: 49 · 2020: 13 · 2019: 12 · 2018: 16 · 2017: 9 · 2016: 7 · 2015: 16 · 2014: 15 · 2013: 13 · 2012: 8
FWCI
11.01
Type
book
Language
en
Open access
closed
Locations
  • Oxford University Press eBooks (publishedVersion)
  • Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)) (submittedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Effects of Radiation Exposure
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Environmental Toxicology and Ecotoxicology
Keywords
hormesis, low-level chemical exposure, environmental pollution, dose-response relationship, stress and health, evidence evaluation

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

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