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Genome remodelling in a basal-like breast cancer metastasis and xenograft

Overview of attention for article published in Nature, April 2010
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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 (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (69th percentile)

Mentioned by

blogs
3 blogs
twitter
1 tweeter
patent
7 patents
f1000
2 research highlight platforms

Citations

dimensions_citation
922 Dimensions

Readers on

mendeley
1014 Mendeley
citeulike
25 CiteULike
connotea
5 Connotea
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Title
Genome remodelling in a basal-like breast cancer metastasis and xenograft
Published in
Nature, April 2010
DOI 10.1038/nature08989
Pubmed ID
Authors

Li Ding, Matthew J. Ellis, Shunqiang Li, David E. Larson, Ken Chen, John W. Wallis, Christopher C. Harris, Michael D. McLellan, Robert S. Fulton, Lucinda L. Fulton, Rachel M. Abbott, Jeremy Hoog, David J. Dooling, Daniel C. Koboldt, Heather Schmidt, Joelle Kalicki, Qunyuan Zhang, Lei Chen, Ling Lin, Michael C. Wendl, Joshua F. McMichael, Vincent J. Magrini, Lisa Cook, Sean D. McGrath, Tammi L. Vickery, Elizabeth Appelbaum, Katherine DeSchryver, Sherri Davies, Therese Guintoli, Li Lin, Robert Crowder, Yu Tao, Jacqueline E. Snider, Scott M. Smith, Adam F. Dukes, Gabriel E. Sanderson, Craig S. Pohl, Kim D. Delehaunty, Catrina C. Fronick, Kimberley A. Pape, Jerry S. Reed, Jody S. Robinson, Jennifer S. Hodges, William Schierding, Nathan D. Dees, Dong Shen, Devin P. Locke, Madeline E. Wiechert, James M. Eldred, Josh B. Peck, Benjamin J. Oberkfell, Justin T. Lolofie, Feiyu Du, Amy E. Hawkins, Michelle D. O’Laughlin, Kelly E. Bernard, Mark Cunningham, Glendoria Elliott, Mark D. Mason, Dominic M. Thompson Jr, Jennifer L. Ivanovich, Paul J. Goodfellow, Charles M. Perou, George M. Weinstock, Rebecca Aft, Mark Watson, Timothy J. Ley, Richard K. Wilson, Elaine R. Mardis

Abstract

Massively parallel DNA sequencing technologies provide an unprecedented ability to screen entire genomes for genetic changes associated with tumour progression. Here we describe the genomic analyses of four DNA samples from an African-American patient with basal-like breast cancer: peripheral blood, the primary tumour, a brain metastasis and a xenograft derived from the primary tumour. The metastasis contained two de novo mutations and a large deletion not present in the primary tumour, and was significantly enriched for 20 shared mutations. The xenograft retained all primary tumour mutations and displayed a mutation enrichment pattern that resembled the metastasis. Two overlapping large deletions, encompassing CTNNA1, were present in all three tumour samples. The differential mutation frequencies and structural variation patterns in metastasis and xenograft compared with the primary tumour indicate that secondary tumours may arise from a minority of cells within the primary tumour.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 1,014 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 32 3%
United Kingdom 9 <1%
Germany 7 <1%
Japan 7 <1%
Spain 6 <1%
France 6 <1%
China 4 <1%
Sweden 3 <1%
Portugal 3 <1%
Other 25 2%
Unknown 912 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 314 31%
Student > Ph. D. Student 232 23%
Student > Master 81 8%
Professor > Associate Professor 77 8%
Other 58 6%
Other 183 18%
Unknown 69 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 474 47%
Medicine and Dentistry 185 18%
Biochemistry, Genetics and Molecular Biology 157 15%
Engineering 19 2%
Computer Science 19 2%
Other 64 6%
Unknown 96 9%

Attention Score in Context

This research output has an Altmetric Attention Score of 38. 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 November 2019.
All research outputs
#614,985
of 16,275,174 outputs
Outputs from Nature
#23,996
of 76,760 outputs
Outputs of similar age
#588,114
of 15,217,950 outputs
Outputs of similar age from Nature
#23,402
of 75,793 outputs
Altmetric has tracked 16,275,174 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 76,760 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 87.8. This one has gotten more attention than average, scoring higher than 68% 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 15,217,950 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 96% of its contemporaries.
We're also able to compare this research output to 75,793 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 69% of its contemporaries.