↓ Skip to main content

Cancer Mortality Risks from Long-term Exposure to Ambient Fine Particle

Overview of attention for article published in Cancer Epidemiology, Biomarkers & Prevention, May 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 4,849)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
25 news outlets
blogs
9 blogs
policy
1 policy source
twitter
45 X users
facebook
3 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
154 Dimensions

Readers on

mendeley
132 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cancer Mortality Risks from Long-term Exposure to Ambient Fine Particle
Published in
Cancer Epidemiology, Biomarkers & Prevention, May 2016
DOI 10.1158/1055-9965.epi-15-0626
Pubmed ID
Authors

Chit Ming Wong, Hilda Tsang, Hak Kan Lai, G Neil Thomas, Kin Bong Lam, King Pan Chan, Qishi Zheng, Jon G Ayres, Siu Yin Lee, Tai Hing Lam, Thuan Quoc Thach

Abstract

Few studies have assessed long-term effects of particulate matter (PM) with aerodynamic diameter < 2.5 μm (PM2.5) on mortality for causes of cancer other than the lung; we assessed the effects on multiple causes. In Hong Kong, most people live and work in urban or suburban areas with high-rise buildings. This facilitates the estimation of PM2.5 exposure of individuals, taking into account the height of residence above ground level for assessment of the long-term health effects with sufficient statistical power. We recruited 66,820 persons who were ≥65 in 1998 to 2001 and followed up for mortality outcomes until 2011. Annual concentrations of PM at their residential addresses were estimated using PM2.5 concentrations measured at fixed-site monitors, horizontal-vertical locations, and satellite data. We used Cox regression model to assess the HR of mortality for cancer per 10 μg/m(3) increase of PM2.5 RESULTS: PM2.5 was associated with increased risk of mortality for all causes of cancer [HR, 1.22 (95% CI, 1.11-1.34)] and for specific cause of cancer in upper digestive tract [1.42 (1.06-1.89)], digestive accessory organs [1.35 (1.06-1.71)] in all subjects; breast [1.80 (1.26-2.55)] in females; and lung [1.36 (1.05-1.77)] in males. Long-term exposures to PM2.5 are associated with elevated risks of cancer in various organs. This study is particularly timely in China, where compelling evidence is needed to support the pollution control policy to ameliorate the health damages associated with economic growth. Cancer Epidemiol Biomarkers Prev; 25(5); 839-45. ©2016 AACR.

X Demographics

X Demographics

The data shown below were collected from the profiles of 45 X users 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 132 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 132 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 17%
Student > Ph. D. Student 17 13%
Student > Master 16 12%
Student > Doctoral Student 12 9%
Student > Bachelor 8 6%
Other 20 15%
Unknown 36 27%
Readers by discipline Count As %
Medicine and Dentistry 22 17%
Environmental Science 14 11%
Agricultural and Biological Sciences 10 8%
Nursing and Health Professions 9 7%
Engineering 6 5%
Other 24 18%
Unknown 47 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 289. 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 15 February 2024.
All research outputs
#121,585
of 25,377,790 outputs
Outputs from Cancer Epidemiology, Biomarkers & Prevention
#46
of 4,849 outputs
Outputs of similar age
#2,319
of 311,855 outputs
Outputs of similar age from Cancer Epidemiology, Biomarkers & Prevention
#2
of 55 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,849 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 16.4. 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 311,855 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 99% of its contemporaries.
We're also able to compare this research output to 55 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 96% of its contemporaries.