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Assessing dose–response relationships for endocrine disrupting chemicals (EDCs): a focus on non-monotonicity

Overview of attention for article published in Environmental Health, May 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

twitter
7 tweeters

Citations

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56 Dimensions

Readers on

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95 Mendeley
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Title
Assessing dose–response relationships for endocrine disrupting chemicals (EDCs): a focus on non-monotonicity
Published in
Environmental Health, May 2015
DOI 10.1186/s12940-015-0029-4
Pubmed ID
Authors

R Thomas Zoeller, Laura N Vandenberg

Abstract

The fundamental principle in regulatory toxicology is that all chemicals are toxic and that the severity of effect is proportional to the exposure level. An ancillary assumption is that there are no effects at exposures below the lowest observed adverse effect level (LOAEL), either because no effects exist or because they are not statistically resolvable, implying that they would not be adverse. Chemicals that interfere with hormones violate these principles in two important ways: dose-response relationships can be non-monotonic, which have been reported in hundreds of studies of endocrine disrupting chemicals (EDCs); and effects are often observed below the LOAEL, including all environmental epidemiological studies examining EDCs. In recognition of the importance of this issue, Lagarde et al. have published the first proposal to qualitatively assess non-monotonic dose response (NMDR) relationships for use in risk assessments. Their proposal represents a significant step forward in the evaluation of complex datasets for use in risk assessments. Here, we comment on three elements of the Lagarde proposal that we feel need to be assessed more critically and present our arguments: 1) the use of Klimisch scores to evaluate study quality, 2) the concept of evaluating study quality without topical experts' knowledge and opinions, and 3) the requirement of establishing the biological plausibility of an NMDR before consideration for use in risk assessment. We present evidence-based logical arguments that 1) the use of the Klimisch score should be abandoned for assessing study quality; 2) evaluating study quality requires experts in the specific field; and 3) an understanding of mechanisms should not be required to accept observable, statistically valid phenomena. It is our hope to contribute to the important and ongoing debate about the impact of NMDRs on risk assessment with positive suggestions.

Twitter Demographics

The data shown below were collected from the profiles of 7 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 1%
Germany 1 1%
Unknown 93 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 17 18%
Student > Ph. D. Student 16 17%
Researcher 13 14%
Student > Bachelor 10 11%
Student > Doctoral Student 7 7%
Other 21 22%
Unknown 11 12%
Readers by discipline Count As %
Environmental Science 17 18%
Agricultural and Biological Sciences 17 18%
Medicine and Dentistry 14 15%
Biochemistry, Genetics and Molecular Biology 8 8%
Chemistry 6 6%
Other 13 14%
Unknown 20 21%

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 08 May 2021.
All research outputs
#5,632,949
of 19,280,406 outputs
Outputs from Environmental Health
#712
of 1,376 outputs
Outputs of similar age
#70,056
of 241,189 outputs
Outputs of similar age from Environmental Health
#1
of 1 outputs
Altmetric has tracked 19,280,406 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,376 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.9. This one is in the 48th percentile – i.e., 48% 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 241,189 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 70% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them