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Mutational Processes Molding the Genomes of 21 Breast Cancers

Overview of attention for article published in Cell, May 2012
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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 (95th percentile)

Mentioned by

news
3 news outlets
blogs
8 blogs
twitter
44 X users
patent
21 patents
facebook
2 Facebook pages
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
1677 Dimensions

Readers on

mendeley
1985 Mendeley
citeulike
22 CiteULike
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Title
Mutational Processes Molding the Genomes of 21 Breast Cancers
Published in
Cell, May 2012
DOI 10.1016/j.cell.2012.04.024
Pubmed ID
Authors

Serena Nik-Zainal, Ludmil B. Alexandrov, David C. Wedge, Peter Van Loo, Christopher D. Greenman, Keiran Raine, David Jones, Jonathan Hinton, John Marshall, Lucy A. Stebbings, Andrew Menzies, Sancha Martin, Kenric Leung, Lina Chen, Catherine Leroy, Manasa Ramakrishna, Richard Rance, Wai Lau, Laura J. Mudie, Ignacio Varela, David J. McBride, Graham R. Bignell, Susanna L. Cooke, Adam Shlien, John Gamble, Ian Whitmore, Mark Maddison, Patrick S. Tarpey, Helen R. Davies, Elli Papaemmanuil, Philip J. Stephens, Stuart McLaren, Adam P. Butler, Jon W. Teague, Göran Jönsson, Judy E. Garber, Daniel Silver, Penelope Miron, Aquila Fatima, Sandrine Boyault, Anita Langerød, Andrew Tutt, John W.M. Martens, Samuel A.J.R. Aparicio, Åke Borg, Anne Vincent Salomon, Gilles Thomas, Anne-Lise Børresen-Dale, Andrea L. Richardson, Michael S. Neuberger, P. Andrew Futreal, Peter J. Campbell, Michael R. Stratton, the Breast Cancer Working Group of the International Cancer Genome Consortium

Abstract

All cancers carry somatic mutations. The patterns of mutation in cancer genomes reflect the DNA damage and repair processes to which cancer cells and their precursors have been exposed. To explore these mechanisms further, we generated catalogs of somatic mutation from 21 breast cancers and applied mathematical methods to extract mutational signatures of the underlying processes. Multiple distinct single- and double-nucleotide substitution signatures were discernible. Cancers with BRCA1 or BRCA2 mutations exhibited a characteristic combination of substitution mutation signatures and a distinctive profile of deletions. Complex relationships between somatic mutation prevalence and transcription were detected. A remarkable phenomenon of localized hypermutation, termed "kataegis," was observed. Regions of kataegis differed between cancers but usually colocalized with somatic rearrangements. Base substitutions in these regions were almost exclusively of cytosine at TpC dinucleotides. The mechanisms underlying most of these mutational signatures are unknown. However, a role for the APOBEC family of cytidine deaminases is proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 44 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 1,985 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 37 2%
United Kingdom 22 1%
Germany 10 <1%
Netherlands 5 <1%
Spain 5 <1%
Switzerland 3 <1%
France 3 <1%
Japan 3 <1%
Denmark 3 <1%
Other 28 1%
Unknown 1866 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 465 23%
Researcher 432 22%
Student > Master 199 10%
Student > Bachelor 178 9%
Professor > Associate Professor 94 5%
Other 317 16%
Unknown 300 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 696 35%
Biochemistry, Genetics and Molecular Biology 483 24%
Medicine and Dentistry 255 13%
Computer Science 63 3%
Engineering 26 1%
Other 135 7%
Unknown 327 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 114. 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 12 March 2024.
All research outputs
#377,350
of 25,839,971 outputs
Outputs from Cell
#2,029
of 17,301 outputs
Outputs of similar age
#1,662
of 177,606 outputs
Outputs of similar age from Cell
#6
of 129 outputs
Altmetric has tracked 25,839,971 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,301 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.8. This one has done well, scoring higher than 88% 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 177,606 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 129 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 95% of its contemporaries.