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The Life History 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 (98th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
3 news outlets
blogs
4 blogs
twitter
43 X users
patent
17 patents
facebook
1 Facebook page

Citations

dimensions_citation
1237 Dimensions

Readers on

mendeley
1819 Mendeley
citeulike
19 CiteULike
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Title
The Life History of 21 Breast Cancers
Published in
Cell, May 2012
DOI 10.1016/j.cell.2012.04.023
Pubmed ID
Authors

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

Abstract

Cancer evolves dynamically as clonal expansions supersede one another driven by shifting selective pressures, mutational processes, and disrupted cancer genes. These processes mark the genome, such that a cancer's life history is encrypted in the somatic mutations present. We developed algorithms to decipher this narrative and applied them to 21 breast cancers. Mutational processes evolve across a cancer's lifespan, with many emerging late but contributing extensive genetic variation. Subclonal diversification is prominent, and most mutations are found in just a fraction of tumor cells. Every tumor has a dominant subclonal lineage, representing more than 50% of tumor cells. Minimal expansion of these subclones occurs until many hundreds to thousands of mutations have accumulated, implying the existence of long-lived, quiescent cell lineages capable of substantial proliferation upon acquisition of enabling genomic changes. Expansion of the dominant subclone to an appreciable mass may therefore represent the final rate-limiting step in a breast cancer's development, triggering diagnosis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 1,819 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 49 3%
United Kingdom 21 1%
Germany 10 <1%
Spain 9 <1%
Canada 5 <1%
Netherlands 4 <1%
China 4 <1%
Norway 3 <1%
Ireland 3 <1%
Other 30 2%
Unknown 1681 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 467 26%
Researcher 448 25%
Student > Master 186 10%
Student > Bachelor 122 7%
Other 89 5%
Other 295 16%
Unknown 212 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 691 38%
Biochemistry, Genetics and Molecular Biology 395 22%
Medicine and Dentistry 249 14%
Computer Science 92 5%
Mathematics 25 1%
Other 130 7%
Unknown 237 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 89. 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
#487,243
of 25,837,817 outputs
Outputs from Cell
#2,476
of 17,278 outputs
Outputs of similar age
#2,257
of 178,728 outputs
Outputs of similar age from Cell
#9
of 129 outputs
Altmetric has tracked 25,837,817 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 17,278 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.7. This one has done well, scoring higher than 85% 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 178,728 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 98% 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 93% of its contemporaries.