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Cancer Genome Landscapes

Overview of attention for article published in Science, March 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 (97th percentile)

Citations

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6452 Dimensions

Readers on

mendeley
7224 Mendeley
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39 CiteULike
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Title
Cancer Genome Landscapes
Published in
Science, March 2013
DOI 10.1126/science.1235122
Pubmed ID
Authors

Bert Vogelstein, Nickolas Papadopoulos, Victor E. Velculescu, Shibin Zhou, Luis A. Diaz, Kenneth W. Kinzler

Abstract

Over the past decade, comprehensive sequencing efforts have revealed the genomic landscapes of common forms of human cancer. For most cancer types, this landscape consists of a small number of "mountains" (genes altered in a high percentage of tumors) and a much larger number of "hills" (genes altered infrequently). To date, these studies have revealed ~140 genes that, when altered by intragenic mutations, can promote or "drive" tumorigenesis. A typical tumor contains two to eight of these "driver gene" mutations; the remaining mutations are passengers that confer no selective growth advantage. Driver genes can be classified into 12 signaling pathways that regulate three core cellular processes: cell fate, cell survival, and genome maintenance. A better understanding of these pathways is one of the most pressing needs in basic cancer research. Even now, however, our knowledge of cancer genomes is sufficient to guide the development of more effective approaches for reducing cancer morbidity and mortality.

X Demographics

X Demographics

The data shown below were collected from the profiles of 217 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 7,224 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 86 1%
Germany 26 <1%
Spain 19 <1%
United Kingdom 17 <1%
Japan 12 <1%
Canada 12 <1%
Netherlands 11 <1%
Brazil 8 <1%
Italy 7 <1%
Other 95 1%
Unknown 6931 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1540 21%
Researcher 1277 18%
Student > Master 860 12%
Student > Bachelor 819 11%
Student > Doctoral Student 372 5%
Other 1109 15%
Unknown 1247 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 1886 26%
Biochemistry, Genetics and Molecular Biology 1810 25%
Medicine and Dentistry 1036 14%
Computer Science 201 3%
Immunology and Microbiology 158 2%
Other 747 10%
Unknown 1386 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 306. 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 09 April 2024.
All research outputs
#114,040
of 26,017,215 outputs
Outputs from Science
#3,682
of 83,593 outputs
Outputs of similar age
#643
of 214,596 outputs
Outputs of similar age from Science
#22
of 880 outputs
Altmetric has tracked 26,017,215 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 83,593 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 65.8. This one has done particularly well, scoring higher than 95% 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 214,596 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 880 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 97% of its contemporaries.