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COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer

Overview of attention for article published in Nucleic Acids Research, October 2010
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
2 X users
patent
26 patents
wikipedia
9 Wikipedia pages

Citations

dimensions_citation
2004 Dimensions

Readers on

mendeley
1275 Mendeley
citeulike
12 CiteULike
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Title
COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
Published in
Nucleic Acids Research, October 2010
DOI 10.1093/nar/gkq929
Pubmed ID
Authors

Simon A. Forbes, Nidhi Bindal, Sally Bamford, Charlotte Cole, Chai Yin Kok, David Beare, Mingming Jia, Rebecca Shepherd, Kenric Leung, Andrew Menzies, Jon W. Teague, Peter J. Campbell, Michael R. Stratton, P. Andrew Futreal

Abstract

COSMIC (http://www.sanger.ac.uk/cosmic) curates comprehensive information on somatic mutations in human cancer. Release v48 (July 2010) describes over 136,000 coding mutations in almost 542,000 tumour samples; of the 18,490 genes documented, 4803 (26%) have one or more mutations. Full scientific literature curations are available on 83 major cancer genes and 49 fusion gene pairs (19 new cancer genes and 30 new fusion pairs this year) and this number is continually increasing. Key amongst these is TP53, now available through a collaboration with the IARC p53 database. In addition to data from the Cancer Genome Project (CGP) at the Sanger Institute, UK, and The Cancer Genome Atlas project (TCGA), large systematic screens are also now curated. Major website upgrades now make these data much more mineable, with many new selection filters and graphics. A Biomart is now available allowing more automated data mining and integration with other biological databases. Annotation of genomic features has become a significant focus; COSMIC has begun curating full-genome resequencing experiments, developing new web pages, export formats and graphics styles. With all genomic information recently updated to GRCh37, COSMIC integrates many diverse types of mutation information and is making much closer links with Ensembl and other data resources.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 1,275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 21 2%
United Kingdom 7 <1%
Germany 6 <1%
France 5 <1%
Canada 5 <1%
Denmark 5 <1%
Spain 5 <1%
Netherlands 3 <1%
Italy 3 <1%
Other 33 3%
Unknown 1182 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 320 25%
Researcher 276 22%
Student > Master 142 11%
Student > Bachelor 110 9%
Other 53 4%
Other 193 15%
Unknown 181 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 439 34%
Biochemistry, Genetics and Molecular Biology 280 22%
Medicine and Dentistry 174 14%
Computer Science 65 5%
Chemistry 26 2%
Other 80 6%
Unknown 211 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 08 December 2023.
All research outputs
#1,737,842
of 24,717,692 outputs
Outputs from Nucleic Acids Research
#1,466
of 27,337 outputs
Outputs of similar age
#6,000
of 103,702 outputs
Outputs of similar age from Nucleic Acids Research
#8
of 255 outputs
Altmetric has tracked 24,717,692 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,337 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done particularly well, scoring higher than 94% 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 103,702 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 94% of its contemporaries.
We're also able to compare this research output to 255 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.