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COSMIC: exploring the world's knowledge of somatic mutations in human cancer

Overview of attention for article published in Nucleic Acids Research, October 2014
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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
twitter
22 X users
patent
12 patents
wikipedia
3 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
2069 Dimensions

Readers on

mendeley
1282 Mendeley
citeulike
6 CiteULike
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Title
COSMIC: exploring the world's knowledge of somatic mutations in human cancer
Published in
Nucleic Acids Research, October 2014
DOI 10.1093/nar/gku1075
Pubmed ID
Authors

Simon A. Forbes, David Beare, Prasad Gunasekaran, Kenric Leung, Nidhi Bindal, Harry Boutselakis, Minjie Ding, Sally Bamford, Charlotte Cole, Sari Ward, Chai Yin Kok, Mingming Jia, Tisham De, Jon W. Teague, Michael R. Stratton, Ultan McDermott, Peter J. Campbell

Abstract

COSMIC, the Catalogue Of Somatic Mutations In Cancer (http://cancer.sanger.ac.uk) is the world's largest and most comprehensive resource for exploring the impact of somatic mutations in human cancer. Our latest release (v70; Aug 2014) describes 2 002 811 coding point mutations in over one million tumor samples and across most human genes. To emphasize depth of knowledge on known cancer genes, mutation information is curated manually from the scientific literature, allowing very precise definitions of disease types and patient details. Combination of almost 20 000 published studies gives substantial resolution of how mutations and phenotypes relate in human cancer, providing insights into the stratification of mutations and biomarkers across cancer patient populations. Conversely, our curation of cancer genomes (over 12 000) emphasizes knowledge breadth, driving discovery of unrecognized cancer-driving hotspots and molecular targets. Our high-resolution curation approach is globally unique, giving substantial insight into molecular biomarkers in human oncology. In addition, COSMIC also details more than six million noncoding mutations, 10 534 gene fusions, 61 299 genome rearrangements, 695 504 abnormal copy number segments and 60 119 787 abnormal expression variants. All these types of somatic mutation are annotated to both the human genome and each affected coding gene, then correlated across disease and mutation types.

X Demographics

X Demographics

The data shown below were collected from the profiles of 22 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 1,282 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 1%
United Kingdom 10 <1%
France 5 <1%
Germany 5 <1%
Switzerland 4 <1%
Netherlands 2 <1%
Austria 2 <1%
Korea, Republic of 2 <1%
Brazil 2 <1%
Other 18 1%
Unknown 1216 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 307 24%
Researcher 246 19%
Student > Master 150 12%
Student > Bachelor 145 11%
Student > Doctoral Student 66 5%
Other 191 15%
Unknown 177 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 362 28%
Biochemistry, Genetics and Molecular Biology 336 26%
Medicine and Dentistry 166 13%
Computer Science 70 5%
Chemistry 25 2%
Other 104 8%
Unknown 219 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 31 March 2022.
All research outputs
#1,284,217
of 25,837,817 outputs
Outputs from Nucleic Acids Research
#812
of 27,769 outputs
Outputs of similar age
#14,336
of 276,889 outputs
Outputs of similar age from Nucleic Acids Research
#10
of 419 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 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 27,769 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.2. This one has done particularly well, scoring higher than 97% 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 276,889 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 419 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.