↓ Skip to main content

GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers

Overview of attention for article published in Genome Biology (Online Edition), April 2011
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents

Citations

dimensions_citation
1669 Dimensions

Readers on

mendeley
1006 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
GISTIC2.0 facilitates sensitive and confident localization of the targets of focal somatic copy-number alteration in human cancers
Published in
Genome Biology (Online Edition), April 2011
DOI 10.1186/gb-2011-12-4-r41
Pubmed ID
Authors

Craig H Mermel, Steven E Schumacher, Barbara Hill, Matthew L Meyerson, Rameen Beroukhim, Gad Getz

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 1,006 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 15 1%
France 5 <1%
United Kingdom 5 <1%
Spain 3 <1%
Canada 3 <1%
Belgium 3 <1%
Sweden 2 <1%
Germany 2 <1%
Italy 2 <1%
Other 10 <1%
Unknown 956 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 265 26%
Researcher 231 23%
Student > Master 93 9%
Student > Doctoral Student 65 6%
Student > Bachelor 62 6%
Other 153 15%
Unknown 137 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 301 30%
Biochemistry, Genetics and Molecular Biology 263 26%
Medicine and Dentistry 124 12%
Computer Science 66 7%
Engineering 19 2%
Other 67 7%
Unknown 166 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 25 June 2020.
All research outputs
#3,254,961
of 18,026,194 outputs
Outputs from Genome Biology (Online Edition)
#2,219
of 3,691 outputs
Outputs of similar age
#57,276
of 272,946 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,026,194 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,691 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 39th percentile – i.e., 39% of its peers scored the same or lower than it.
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 272,946 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them