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The road to linearity: why linearity at low doses became the basis for carcinogen risk assessment

Overview of attention for article published in Archives of Toxicology, February 2009
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  • Good Attention Score compared to outputs of the same age (65th percentile)

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Title
The road to linearity: why linearity at low doses became the basis for carcinogen risk assessment
Published in
Archives of Toxicology, February 2009
DOI 10.1007/s00204-009-0412-4
Pubmed ID
Authors

Edward J. Calabrese

Abstract

This article assesses the historical foundations of how linearity at low dose became accepted by the scientific/regulatory communities. While the threshold model was used in the 1920s/1930s in establishing radiation health standards, its foundations were challenged by the genetics community who argued that radiation induced mutations in reproductive cells followed a linear response, were cumulative and deleterious. Scientific foundations of linearity for gonadal mutations were based on non-conclusive evidence as well as not being conducted at low doses. Following years of debate, leaders in the genetics community participated in the U.S. National Academy of Sciences (NAS) (1956) Biological Effects of Atomic Radiation (BEAR) BEAR I Committee, getting their perspectives accepted, incorporating linearity for radiation-induced mutational effects in risk assessment. Overtime the concept of linearity was generalized to include somatic effects induced by radiation based on a protectionist philosophy. This affected the course of radiation-induced and later chemically-induced carcinogen risk assessment. Acceptance of linearity at low dose from chemical carcinogens was strongly influenced by the NAS Safe Drinking Water Committee report of 1977 which provided the critical guidance to the U.S. EPA to adopt linear at low dose modeling for risk assessment for chemical carcinogens with little supportive data, much of which has been either discredited or seriously weakened over the past 3 decades. Nonetheless, there has been little practical change of regulatory policy concerning carcinogen risk assessment. These observations suggest that while scientific disciplines are self correcting, that regulatory 'science' fails to display the same self-correcting mechanism despite contradictory data.

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 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
United States 1 2%
Unknown 47 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 27%
Student > Bachelor 8 16%
Student > Ph. D. Student 6 12%
Student > Postgraduate 5 10%
Other 4 8%
Other 8 16%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 7 14%
Agricultural and Biological Sciences 6 12%
Physics and Astronomy 4 8%
Chemistry 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Other 19 39%
Unknown 6 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 29 August 2019.
All research outputs
#7,358,432
of 23,924,386 outputs
Outputs from Archives of Toxicology
#925
of 2,694 outputs
Outputs of similar age
#32,121
of 95,618 outputs
Outputs of similar age from Archives of Toxicology
#6
of 7 outputs
Altmetric has tracked 23,924,386 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,694 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 64% 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 95,618 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 65% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one.