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Effects of diurnal temperature range on mortality in Hefei city, China

Overview of attention for article published in International Journal of Biometeorology, December 2017
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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 (86th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

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1 blog
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1 Facebook page

Citations

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20 Mendeley
Title
Effects of diurnal temperature range on mortality in Hefei city, China
Published in
International Journal of Biometeorology, December 2017
DOI 10.1007/s00484-017-1486-y
Pubmed ID
Authors

Jing Tang, Chang-chun Xiao, Yu-rong Li, Jun-qing Zhang, Hao-yuan Zhai, Xi-ya Geng, Rui Ding, Jin-xia Zhai

Abstract

Although several studies indicated an association between diurnal temperature range (DTR) and mortality, the results about modifiers are inconsistent, and few studies were conducted in developing inland country. This study aims to evaluate the effects of DTR on cause-specific mortality and whether season, gender, or age might modify any association in Hefei city, China, during 2007-2016. Quasi-Poisson generalized linear regression models combined with a distributed lag non-linear model (DLNM) were applied to evaluate the relationships between DTR and non-accidental, cardiovascular, and respiratory mortality. We observed a J-shaped relationship between DTR and cause-specific mortality. With a DTR of 8.3 °C as the reference, the cumulative effects of extremely high DTR were significantly higher for all types of mortality than effects of lower or moderate DTR in full year. When stratified by season, extremely high DTR in spring had a greater impact on all cause-specific mortality than other three seasons. Male and the elderly (≥ 65 years) were consistently more susceptible to extremely high DTR effect than female and the youth (< 65 years) for non-accidental and cardiovascular mortality. To the contrary, female and the youth were more susceptible to extremely high DTR effect than male and the elderly for respiratory morality. The study suggests that extremely high DTR is a potential trigger for non-accidental mortality in Hefei city, China. Our findings also highlight the importance of protecting susceptible groups from extremely high DTR especially in the spring.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Student > Doctoral Student 3 15%
Student > Ph. D. Student 3 15%
Researcher 2 10%
Professor > Associate Professor 2 10%
Other 1 5%
Unknown 5 25%
Readers by discipline Count As %
Environmental Science 6 30%
Social Sciences 3 15%
Medicine and Dentistry 2 10%
Nursing and Health Professions 2 10%
Arts and Humanities 1 5%
Other 0 0%
Unknown 6 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 26 September 2018.
All research outputs
#2,489,972
of 23,011,300 outputs
Outputs from International Journal of Biometeorology
#241
of 1,299 outputs
Outputs of similar age
#58,413
of 439,491 outputs
Outputs of similar age from International Journal of Biometeorology
#8
of 25 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,299 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 80% 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 439,491 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 86% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.