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Mutational landscape and significance across 12 major cancer types

Overview of attention for article published in Nature, October 2013
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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 (89th percentile)

Citations

dimensions_citation
3625 Dimensions

Readers on

mendeley
3590 Mendeley
citeulike
16 CiteULike
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Title
Mutational landscape and significance across 12 major cancer types
Published in
Nature, October 2013
DOI 10.1038/nature12634
Pubmed ID
Authors

Cyriac Kandoth, Michael D. McLellan, Fabio Vandin, Kai Ye, Beifang Niu, Charles Lu, Mingchao Xie, Qunyuan Zhang, Joshua F. McMichael, Matthew A. Wyczalkowski, Mark D. M. Leiserson, Christopher A. Miller, John S. Welch, Matthew J. Walter, Michael C. Wendl, Timothy J. Ley, Richard K. Wilson, Benjamin J. Raphael, Li Ding

X Demographics

X Demographics

The data shown below were collected from the profiles of 101 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 3,590 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 52 1%
United Kingdom 19 <1%
Germany 14 <1%
Netherlands 7 <1%
Japan 7 <1%
Canada 5 <1%
Spain 4 <1%
Denmark 4 <1%
Sweden 4 <1%
Other 34 <1%
Unknown 3440 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 819 23%
Researcher 709 20%
Student > Master 369 10%
Student > Bachelor 327 9%
Other 179 5%
Other 566 16%
Unknown 621 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 1014 28%
Biochemistry, Genetics and Molecular Biology 941 26%
Medicine and Dentistry 475 13%
Computer Science 103 3%
Chemistry 62 2%
Other 297 8%
Unknown 698 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 233. 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 March 2024.
All research outputs
#165,291
of 25,837,817 outputs
Outputs from Nature
#10,267
of 98,779 outputs
Outputs of similar age
#1,122
of 226,739 outputs
Outputs of similar age from Nature
#110
of 1,060 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 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,779 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.5. This one has done well, scoring higher than 89% 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 226,739 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 1,060 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.