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Physical properties of particulate matter from animal houses—empirical studies to improve emission modelling

Overview of attention for article published in Environmental Science and Pollution Research, March 2016
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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 (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

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24 Dimensions

Readers on

mendeley
30 Mendeley
Title
Physical properties of particulate matter from animal houses—empirical studies to improve emission modelling
Published in
Environmental Science and Pollution Research, March 2016
DOI 10.1007/s11356-016-6424-8
Pubmed ID
Authors

Ehab Mostafa, Christoph Nannen, Jessica Henseler, Bernd Diekmann, Richard Gates, Wolfgang Buescher

Abstract

Maintaining and preserving the environment from pollutants are of utmost importance. Particulate matter (PM) is considered one of the main air pollutants. In addition to the harmful effects of PM in the environment, it has also a negative indoor impact on human and animal health. The specific forms of damage of particulate emission from livestock buildings depend on its physical properties. The physical properties of particulates from livestock facilities are largely unknown. Most studies assume the livestock particles to be spherical with a constant density which can result in biased estimations, leading to inaccurate results and errors in the calculation of particle mass concentration in livestock buildings. The physical properties of PM, including difference in density as a function of particle size and shape, can have a significant impact on the predictions of particles' behaviour. The aim of this research was to characterize the physical properties of PM from different animal houses and consequently determine PM mass concentration. The mean densities of collected PM from laying hens, dairy cows and pig barns were 1450, 1520 and 2030 kg m(-3), respectively, whilst the mass factors were 2.17 × 10(-3), 2.18 × 10(-3) and 5.36 × 10(-3) μm, respectively. The highest mass concentration was observed in pig barns generally followed by laying hen barns, and the lowest concentration was in dairy cow buildings. Results are presented in such a way that they can be used in subsequent research for simulation purposes and to form the basis for a data set of PM physical properties.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 30 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 20%
Student > Ph. D. Student 6 20%
Student > Master 3 10%
Student > Bachelor 2 7%
Professor 2 7%
Other 1 3%
Unknown 10 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 6 20%
Engineering 4 13%
Environmental Science 3 10%
Nursing and Health Professions 2 7%
Chemical Engineering 1 3%
Other 3 10%
Unknown 11 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 13 June 2019.
All research outputs
#3,149,425
of 23,911,072 outputs
Outputs from Environmental Science and Pollution Research
#508
of 9,883 outputs
Outputs of similar age
#50,169
of 302,998 outputs
Outputs of similar age from Environmental Science and Pollution Research
#10
of 201 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,883 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 94% 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 302,998 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 82% of its contemporaries.
We're also able to compare this research output to 201 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.