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Smoking: additional burden on aging and death

Overview of attention for article published in Genes and Environment, January 2016
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About this Attention Score

  • Among the highest-scoring outputs from this source (#33 of 135)
  • Good Attention Score compared to outputs of the same age (70th percentile)

Mentioned by

6 X users


13 Dimensions

Readers on

18 Mendeley
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Smoking: additional burden on aging and death
Published in
Genes and Environment, January 2016
DOI 10.1186/s41021-016-0029-9
Pubmed ID

Masahiko Watanabe


Tobacco smoking is a major cause of lung cancer. It has been suggested that there is an approximately linear dose-response relationship between the number of cigarettes smoked per day and clinical outcome such as lung cancer mortality. It has also been proposed that there is a greater increase in mortality at high doses when the dose is represented by the duration of the smoking habit rather than the number of cigarettes. The multistep carcinogenesis theory indicates that a greater increase in mortality rate at high doses is possible, as is the case between aging and cancer, even though each dose-response relationship between a carcinogenic factor and a carcinogenic step forward is linear. The high incidence of lung cancer after long-term smoking and the decreased relative risk after smoking cessation suggests a similarity between the effects of smoking and aging. Prediction of lung cancer risk in former smokers by simple integration of smoking effects with aging demonstrated a good correlation with that estimated from the relative risk of the period of smoking cessation. In contrast to the smoking period, there appears to be a linear relationship between smoking strength and cancer risk. This might arise if the dose-response relationship between smoking strength and each carcinogenic step is less than linear, or the effects become saturated with a large dose of daily smoking. Such a dose-response relationship could lead to relatively large clinical effects, such as cardiovascular mortality, by low-dose tobacco smoke exposure, e.g., second-hand smoking. Consideration of the dose-response of each effect is important to evaluate the risk arising from each carcinogenic factor.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 17%
Student > Ph. D. Student 2 11%
Researcher 2 11%
Student > Postgraduate 2 11%
Student > Master 1 6%
Other 3 17%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Medicine and Dentistry 3 17%
Nursing and Health Professions 2 11%
Agricultural and Biological Sciences 2 11%
Psychology 1 6%
Other 0 0%
Unknown 5 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 02 February 2016.
All research outputs
of 25,374,647 outputs
Outputs from Genes and Environment
of 135 outputs
Outputs of similar age
of 403,904 outputs
Outputs of similar age from Genes and Environment
of 4 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 135 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 75% 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 403,904 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.