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Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan

Overview of attention for article published in Environmental Health, June 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (87th percentile)

Mentioned by

1 news outlet
10 tweeters
1 Google+ user


2 Dimensions

Readers on

44 Mendeley
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Comparison of methods for calculating the health costs of endocrine disrupters: a case study on triclosan
Published in
Environmental Health, June 2017
DOI 10.1186/s12940-017-0265-x
Pubmed ID

Radka Prichystalova, Jean-Baptiste Fini, Leonardo Trasande, Martine Bellanger, Barbara Demeneix, Laura Maxim


Socioeconomic analysis is currently used in the Europe Union as part of the regulatory process in Regulation Registration, Evaluation and Authorisation of Chemicals (REACH), with the aim of assessing and managing risks from dangerous chemicals. The political impact of the socio-economic analysis is potentially high in the authorisation and restriction procedures, however, current socio-economic analysis dossiers submitted under REACH are very heterogeneous in terms of methodology used and quality. Furthermore, the economic literature is not very helpful for regulatory purposes, as most published calculations of health costs associated with chemical exposures use epidemiological studies as input data, but such studies are rarely available for most substances. The quasi-totality of the data used in the REACH dossiers comes from toxicological studies. This paper assesses the use of the integrated probabilistic risk assessment, based on toxicological data, for the calculation of health costs associated with endocrine disrupting effects of triclosan. The results are compared with those obtained using the population attributable fraction, based on epidemiological data. The results based on the integrated probabilistic risk assessment indicated that 4894 men could have reproductive deficits based on the decreased vas deferens weights observed in rats, 0 cases of changed T3 levels, and 0 cases of girls with early pubertal development. The results obtained with the Population Attributable Fraction method showed 7,199,228 cases of obesity per year, 281,923 girls per year with early pubertal development and 88,957 to 303,759 cases per year with increased total T3 hormone levels. The economic costs associated with increased BMI due to TCS exposure could be calculated. Direct health costs were estimated at €5.8 billion per year. The two methods give very different results for the same effects. The choice of a toxicological-based or an epidemiological-based method in the socio-economic analysis will therefore significantly impact the estimated health costs and consequently the political risk management decision. Additional work should be done for understanding the reasons of these significant differences.

Twitter Demographics

The data shown below were collected from the profiles of 10 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 25%
Researcher 10 23%
Student > Master 8 18%
Student > Bachelor 3 7%
Lecturer 2 5%
Other 4 9%
Unknown 6 14%
Readers by discipline Count As %
Environmental Science 7 16%
Medicine and Dentistry 5 11%
Agricultural and Biological Sciences 4 9%
Nursing and Health Professions 3 7%
Biochemistry, Genetics and Molecular Biology 3 7%
Other 12 27%
Unknown 10 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 16 February 2020.
All research outputs
of 20,568,640 outputs
Outputs from Environmental Health
of 1,415 outputs
Outputs of similar age
of 287,270 outputs
Outputs of similar age from Environmental Health
of 1 outputs
Altmetric has tracked 20,568,640 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,415 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.0. This one has gotten more attention than average, scoring higher than 73% 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 287,270 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% 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