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Allele-Specific Amplification in Cancer Revealed by SNP Array Analysis

Overview of attention for article published in PLoS Computational Biology, November 2005
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Mentioned by

patent
2 patents

Citations

dimensions_citation
102 Dimensions

Readers on

mendeley
90 Mendeley
citeulike
5 CiteULike
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Title
Allele-Specific Amplification in Cancer Revealed by SNP Array Analysis
Published in
PLoS Computational Biology, November 2005
DOI 10.1371/journal.pcbi.0010065
Pubmed ID
Authors

Thomas LaFramboise, Barbara A Weir, Xiaojun Zhao, Rameen Beroukhim, Cheng Li, David Harrington, William R Sellers, Matthew Meyerson

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 6%
Germany 2 2%
Pakistan 1 1%
Korea, Republic of 1 1%
Netherlands 1 1%
United Kingdom 1 1%
Italy 1 1%
Japan 1 1%
Spain 1 1%
Other 0 0%
Unknown 76 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 38 42%
Professor > Associate Professor 11 12%
Student > Ph. D. Student 10 11%
Student > Master 8 9%
Professor 5 6%
Other 10 11%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 51 57%
Computer Science 10 11%
Biochemistry, Genetics and Molecular Biology 8 9%
Medicine and Dentistry 8 9%
Mathematics 2 2%
Other 3 3%
Unknown 8 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 June 2014.
All research outputs
#8,534,528
of 25,373,627 outputs
Outputs from PLoS Computational Biology
#5,636
of 8,960 outputs
Outputs of similar age
#41,442
of 159,312 outputs
Outputs of similar age from PLoS Computational Biology
#10
of 18 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,960 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 33rd percentile – i.e., 33% 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 159,312 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.