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Assessing particle and fiber toxicology in the respiratory system: the stereology toolbox

Overview of attention for article published in Particle and Fibre Toxicology, October 2015
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Title
Assessing particle and fiber toxicology in the respiratory system: the stereology toolbox
Published in
Particle and Fibre Toxicology, October 2015
DOI 10.1186/s12989-015-0110-8
Pubmed ID
Authors

Christina Brandenberger, Matthias Ochs, Christian Mühlfeld

Abstract

The inhalation of airborne particles can lead to pathological changes in the respiratory tract. For this reason, toxicology studies on effects of inhalable particles and fibers often include an assessment of histopathological alterations in the upper respiratory tract, the trachea and/or the lungs. Conventional pathological evaluations are usually performed by scoring histological lesions in order to obtain "quantitative" information and an estimation of the severity of the lesion. This approach not only comprises a potential subjective bias, depending on the examiner's judgment, but also conveys the risk that mild alterations escape the investigator's eye. The most accurate way of obtaining unbiased quantitative information about three-dimensional (3D) features of tissues, cells, or organelles from two-dimensional physical or optical sections is by means of stereology, the gold standard of image-based morphometry. Nevertheless, it can be challenging to express histopathological changes by morphometric parameters such as volume, surface, length or number only. In this review we therefore provide an overview on different histopathological lesions in the respiratory tract associated with particle and fiber toxicology and on how to apply stereological methods in order to correctly quantify and interpret histological lesions in the respiratory tract. The article further aims at pointing out common pitfalls in quantitative histopathology and at providing some suggestions on how respiratory toxicology can be improved by stereology. Thus, we hope that this article will stimulate scientists in particle and fiber toxicology research to implement stereological techniques in their studies, thereby promoting an unbiased 3D assessment of pathological lesions associated with particle exposure.

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

Geographical breakdown

Country Count As %
Germany 1 2%
France 1 2%
Unknown 55 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 18%
Researcher 10 18%
Student > Doctoral Student 8 14%
Student > Master 7 12%
Student > Bachelor 5 9%
Other 4 7%
Unknown 13 23%
Readers by discipline Count As %
Medicine and Dentistry 9 16%
Agricultural and Biological Sciences 8 14%
Engineering 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Chemistry 3 5%
Other 11 19%
Unknown 17 30%
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 02 November 2015.
All research outputs
#20,295,099
of 22,831,537 outputs
Outputs from Particle and Fibre Toxicology
#460
of 560 outputs
Outputs of similar age
#238,335
of 284,235 outputs
Outputs of similar age from Particle and Fibre Toxicology
#7
of 8 outputs
Altmetric has tracked 22,831,537 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 560 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one is in the 1st percentile – i.e., 1% 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 284,235 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.