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Ambient Air Pollution and Health Impact in China

Overview of attention for book
Attention for Chapter 3: Human Exposure Assessment for Air Pollution
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Chapter title
Human Exposure Assessment for Air Pollution
Chapter number 3
Book title
Ambient Air Pollution and Health Impact in China
Published in
Advances in experimental medicine and biology, January 2017
DOI 10.1007/978-981-10-5657-4_3
Pubmed ID
Book ISBNs
978-9-81-105656-7, 978-9-81-105657-4
Authors

Bin Han, Li-Wen Hu, Zhipeng Bai, Han, Bin, Hu, Li-Wen, Bai, Zhipeng

Abstract

Assessment of human exposure to air pollution is a fundamental part of the more general process of health risk assessment. The measurement methods for exposure assessment now include personal exposure monitoring, indoor-outdoor sampling, mobile monitoring, and exposure assessment modeling (such as proximity models, interpolation model, air dispersion models, and land-use regression (LUR) models). Among these methods, personal exposure measurement is considered to be the most accurate method of pollutant exposure assessment until now, since it can better quantify observed differences and better reflect exposure among smaller groups of people at ground level. And since the great differences of geographical environment, source distribution, pollution characteristics, economic conditions, and living habits, there is a wide range of differences between indoor, outdoor, and individual air pollution exposure in different regions of China. In general, the indoor particles in most Chinese families comprise infiltrated outdoor particles, particles generated indoors, and a few secondary organic aerosol particles, and in most cases, outdoor particle pollution concentrations are a major contributor to indoor concentrations in China. Furthermore, since the time, energy, and expense are limited, it is difficult to measure the concentration of pollutants for each individual. In recent years, obtaining the concentration of air pollutants by using a variety of exposure assessment models is becoming a main method which could solve the problem of the increasing number of individuals in epidemiology studies.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 13%
Researcher 5 8%
Other 4 7%
Student > Master 4 7%
Student > Doctoral Student 3 5%
Other 4 7%
Unknown 33 54%
Readers by discipline Count As %
Environmental Science 8 13%
Medicine and Dentistry 4 7%
Chemical Engineering 2 3%
Nursing and Health Professions 2 3%
Computer Science 2 3%
Other 7 11%
Unknown 36 59%
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 30 November 2017.
All research outputs
#18,576,855
of 23,008,860 outputs
Outputs from Advances in experimental medicine and biology
#3,324
of 4,961 outputs
Outputs of similar age
#311,453
of 421,267 outputs
Outputs of similar age from Advances in experimental medicine and biology
#333
of 490 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,961 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one is in the 19th percentile – i.e., 19% 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 421,267 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 490 others from the same source and published within six weeks on either side of this one. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.