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Mutational signatures associated with tobacco smoking in human cancer

Overview of attention for article published in Science, November 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
216 news outlets
blogs
11 blogs
policy
1 policy source
twitter
808 tweeters
patent
1 patent
peer_reviews
1 peer review site
facebook
29 Facebook pages
wikipedia
4 Wikipedia pages
googleplus
12 Google+ users
reddit
1 Redditor

Citations

dimensions_citation
468 Dimensions

Readers on

mendeley
794 Mendeley
citeulike
12 CiteULike
Title
Mutational signatures associated with tobacco smoking in human cancer
Published in
Science, November 2016
DOI 10.1126/science.aag0299
Pubmed ID
Authors

L. B. Alexandrov, Y. S. Ju, K. Haase, P. Van Loo, I. Martincorena, S. Nik-Zainal, Y. Totoki, A. Fujimoto, H. Nakagawa, T. Shibata, P. J. Campbell, P. Vineis, D. H. Phillips, M. R. Stratton

Abstract

Tobacco smoking increases the risk of at least 17 classes of human cancer. We analyzed somatic mutations and DNA methylation in 5243 cancers of types for which tobacco smoking confers an elevated risk. Smoking is associated with increased mutation burdens of multiple distinct mutational signatures, which contribute to different extents in different cancers. One of these signatures, mainly found in cancers derived from tissues directly exposed to tobacco smoke, is attributable to misreplication of DNA damage caused by tobacco carcinogens. Others likely reflect indirect activation of DNA editing by APOBEC cytidine deaminases and of an endogenous clocklike mutational process. Smoking is associated with limited differences in methylation. The results are consistent with the proposition that smoking increases cancer risk by increasing the somatic mutation load, although direct evidence for this mechanism is lacking in some smoking-related cancer types.

Twitter Demographics

The data shown below were collected from the profiles of 808 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 794 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 1%
United Kingdom 4 <1%
France 3 <1%
Germany 2 <1%
Brazil 2 <1%
Denmark 1 <1%
Uruguay 1 <1%
Canada 1 <1%
India 1 <1%
Other 5 <1%
Unknown 766 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 168 21%
Student > Ph. D. Student 160 20%
Student > Bachelor 97 12%
Student > Master 76 10%
Other 48 6%
Other 130 16%
Unknown 115 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 230 29%
Agricultural and Biological Sciences 162 20%
Medicine and Dentistry 127 16%
Computer Science 27 3%
Nursing and Health Professions 13 2%
Other 96 12%
Unknown 139 18%

Attention Score in Context

This research output has an Altmetric Attention Score of 2360. 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 January 2021.
All research outputs
#1,513
of 17,104,078 outputs
Outputs from Science
#108
of 70,139 outputs
Outputs of similar age
#29
of 299,833 outputs
Outputs of similar age from Science
#2
of 1,040 outputs
Altmetric has tracked 17,104,078 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 70,139 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 54.3. 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 299,833 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 1,040 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 99% of its contemporaries.