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Molecular, Clinical and Environmental Toxicology

Overview of attention for book
Cover of 'Molecular, Clinical and Environmental Toxicology'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Chemical hazards in the organisation.
  3. Altmetric Badge
    Chapter 2 Toxicology of water.
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    Chapter 3 Perfluorinated compounds.
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    Chapter 4 Toxicologically relevant phthalates in food.
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    Chapter 5 Exposure to polycyclic aromatic hydrocarbons: bulky DNA adducts and cellular responses.
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    Chapter 6 Heavy Metals Toxicity and the Environment
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    Chapter 7 Toxicology of ambient particulate matter.
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    Chapter 8 Nanomaterials: a challenge for toxicological risk assessment?
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    Chapter 9 Immunotoxicology and its application in risk assessment.
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    Chapter 10 Chemical sensitization and allergotoxicology.
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    Chapter 11 Male reprotoxicity and endocrine disruption.
  13. Altmetric Badge
    Chapter 12 Molecular, Clinical and Environmental Toxicology
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    Chapter 13 Recent trends in statistical QSAR modeling of environmental chemical toxicity.
  15. Altmetric Badge
    Chapter 14 Chirality and its role in environmental toxicology.
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    Chapter 15 Genetic Variability in Molecular Responses to Chemical Exposure
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    Chapter 16 Molecular, Clinical and Environmental Toxicology
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    Chapter 17 A personalized life: biomarker monitoring from cradle to grave.
  19. Altmetric Badge
    Chapter 18 On the role of low-dose effects and epigenetics in toxicology.
  20. Altmetric Badge
    Chapter 19 Hormesis: improving predictions in the low-dose zone.
Attention for Chapter 17: A personalized life: biomarker monitoring from cradle to grave.
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Chapter title
A personalized life: biomarker monitoring from cradle to grave.
Chapter number 17
Book title
Molecular, Clinical and Environmental Toxicology
Published in
EXS, April 2012
DOI 10.1007/978-3-7643-8340-4_17
Pubmed ID
22945580
Book ISBNs
978-3-76-438339-8, 978-3-76-438340-4
Authors

Jungnickel H, Luch A, Harald Jungnickel, Andreas Luch, Jungnickel, Harald, Luch, Andreas

Editors

Andreas Luch

Abstract

Considering the holy grail of future medical treatment being personalized medicines, biomarker research will become more and more the focus for attention not only to develop new medical treatment regimes, based on changes in biomarker patterns, but also for nutritional advice to guarantee a lifelong optimized health condition. The current review gives an outline of how personalized medicine can become established for actual medical treatment using new biomarker concepts. Starting from the development of biomarker research using mainly immunological techniques, the review gives an overview about biomarkers of prediction evolved and focuses on new methodology for the identification of biomarkers using hyphenated analytical techniques like metabolomics and lipidomics. The actual use of multivariate statistical methods in combination with metabolomics and lipidomics is discussed not only for medical treatment but also for precautionary risk identification in human biomonitoring studies.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 14%
Unknown 6 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 57%
Student > Ph. D. Student 2 29%
Student > Master 1 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 43%
Engineering 2 29%
Chemistry 1 14%
Nursing and Health Professions 1 14%
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 11 March 2015.
All research outputs
#20,264,045
of 22,794,367 outputs
Outputs from EXS
#83
of 94 outputs
Outputs of similar age
#148,211
of 163,354 outputs
Outputs of similar age from EXS
#10
of 11 outputs
Altmetric has tracked 22,794,367 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 94 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.7. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.

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