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Characteristics of PM2.5, CO2 and particle-number concentration in mass transit railway carriages in Hong Kong

Overview of attention for article published in Environmental Geochemistry and Health, June 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 856)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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6 news outlets
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1 blog
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1 X user

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39 Mendeley
Title
Characteristics of PM2.5, CO2 and particle-number concentration in mass transit railway carriages in Hong Kong
Published in
Environmental Geochemistry and Health, June 2016
DOI 10.1007/s10653-016-9844-y
Pubmed ID
Authors

Hai-Long Zheng, Wen-Jing Deng, Yan Cheng, Wei Guo

Abstract

Fine particulate matter (PM2.5) levels, carbon dioxide (CO2) levels and particle-number concentrations (PNC) were monitored in train carriages on seven routes of the mass transit railway in Hong Kong between March and May 2014, using real-time monitoring instruments. The 8-h average PM2.5 levels in carriages on the seven routes ranged from 24.1 to 49.8 µg/m(3), higher than levels in Finland and similar to those in New York, and in most cases exceeding the standard set by the World Health Organisation (25 µg/m(3)). The CO2 concentration ranged from 714 to 1801 ppm on four of the routes, generally exceeding indoor air quality guidelines (1000 ppm over 8 h) and reaching levels as high as those in Beijing. PNC ranged from 1506 to 11,570 particles/cm(3), lower than readings in Sydney and higher than readings in Taipei. Correlation analysis indicated that the number of passengers in a given carriage did not affect the PM2.5 concentration or PNC in the carriage. However, a significant positive correlation (p < 0.001, R (2) = 0.834) was observed between passenger numbers and CO2 levels, with each passenger contributing approximately 7.7-9.8 ppm of CO2. The real-time measurements of PM2.5 and PNC varied considerably, rising when carriage doors opened on arrival at a station and when passengers inside the carriage were more active. This suggests that air pollutants outside the train and passenger movements may contribute to PM2.5 levels and PNC. Assessment of the risk associated with PM2.5 exposure revealed that children are most severely affected by PM2.5 pollution, followed in order by juveniles, adults and the elderly. In addition, females were found to be more vulnerable to PM2.5 pollution than males (p < 0.001), and different subway lines were associated with different levels of risk.

X Demographics

X Demographics

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

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 18%
Researcher 6 15%
Student > Bachelor 5 13%
Student > Master 3 8%
Student > Doctoral Student 2 5%
Other 2 5%
Unknown 14 36%
Readers by discipline Count As %
Environmental Science 11 28%
Engineering 6 15%
Medicine and Dentistry 3 8%
Chemical Engineering 1 3%
Computer Science 1 3%
Other 3 8%
Unknown 14 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 51. 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 28 September 2017.
All research outputs
#754,151
of 23,854,458 outputs
Outputs from Environmental Geochemistry and Health
#8
of 856 outputs
Outputs of similar age
#15,636
of 358,553 outputs
Outputs of similar age from Environmental Geochemistry and Health
#1
of 8 outputs
Altmetric has tracked 23,854,458 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 856 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 99% 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 358,553 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
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. This one has scored higher than all of them