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Risk patterns of lung cancer mortality in northern Thailand

Overview of attention for article published in BMC Public Health, September 2018
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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 (87th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
7 X users

Citations

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14 Dimensions

Readers on

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23 Mendeley
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Title
Risk patterns of lung cancer mortality in northern Thailand
Published in
BMC Public Health, September 2018
DOI 10.1186/s12889-018-6025-1
Pubmed ID
Authors

Apinut Rankantha, Imjai Chitapanarux, Donsuk Pongnikorn, Sukon Prasitwattanaseree, Walaithip Bunyatisai, Patumrat Sripan, Patrinee Traisathit

Abstract

Over the past decade, lung cancers have exhibited a disproportionately high mortality and increasing mortality trend in Thailand, especially in the northern region, and prevention strategies have consequently become more important in this region. Spatial analysis studies may be helpful in guiding any strategy put in place to respond to the risk of lung cancer mortality in specific areas. The aim of our study was to identify risk patterns for lung cancer mortality within the northern region of Thailand. In the spatial analysis, the relative risk (RR) was used as a measure of the risk of lung cancer mortality in 81 districts of northern Thailand between 2008 and 2017. The RR was estimated according to the Besag-York-Mollié autoregressive spatial model performed using the OpenBUGS routine in the R statistical software package. We presented the overall and gender specific lung cancer mortality risk patterns of the region using the Quantum Geographic Information System. The overall risk of lung cancer mortality was the highest in the west of northern Thailand, especially in the Hang Dong, Doi Lo, and San Pa Tong districts. For both genders, the risk patterns of lung cancer mortality indicated a high risk in the west of northern Thailand, with females being at a higher risk than males. There was distinct geographical variation in risk patterns of lung cancer mortality in Thailand. Differences could be related to differences in risk factors such as ground-based radon and air pollution. This study provides a starting point for estimating the spatial pattern of the risk of lung cancer mortality and for examining associations between geographic risk factors and lung mortality for further studies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 13%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Student > Ph. D. Student 2 9%
Other 1 4%
Other 2 9%
Unknown 11 48%
Readers by discipline Count As %
Medicine and Dentistry 5 22%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Nursing and Health Professions 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Economics, Econometrics and Finance 1 4%
Other 1 4%
Unknown 13 57%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 01 January 2023.
All research outputs
#2,234,681
of 25,271,884 outputs
Outputs from BMC Public Health
#2,584
of 16,915 outputs
Outputs of similar age
#45,029
of 347,547 outputs
Outputs of similar age from BMC Public Health
#43
of 226 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,915 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 84% 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 347,547 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 87% of its contemporaries.
We're also able to compare this research output to 226 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.