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A Robust Algorithm for Copy Number Detection Using High-Density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arrays

Overview of attention for article published in Cancer Research, July 2005
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

patent
74 patents

Citations

dimensions_citation
559 Dimensions

Readers on

mendeley
155 Mendeley
citeulike
7 CiteULike
connotea
1 Connotea
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Title
A Robust Algorithm for Copy Number Detection Using High-Density Oligonucleotide Single Nucleotide Polymorphism Genotyping Arrays
Published in
Cancer Research, July 2005
DOI 10.1158/0008-5472.can-05-0465
Pubmed ID
Authors

Yasuhito Nannya, Masashi Sanada, Kumi Nakazaki, Noriko Hosoya, Lili Wang, Akira Hangaishi, Mineo Kurokawa, Shigeru Chiba, Dione K. Bailey, Giulia C. Kennedy, Seishi Ogawa

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 4%
Germany 3 2%
United Kingdom 3 2%
Belgium 2 1%
Japan 2 1%
Netherlands 2 1%
South Africa 2 1%
Czechia 1 <1%
Canada 1 <1%
Other 3 2%
Unknown 130 84%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 28%
Student > Ph. D. Student 36 23%
Professor > Associate Professor 20 13%
Student > Master 12 8%
Professor 9 6%
Other 31 20%
Unknown 3 2%
Readers by discipline Count As %
Agricultural and Biological Sciences 74 48%
Medicine and Dentistry 38 25%
Biochemistry, Genetics and Molecular Biology 16 10%
Computer Science 10 6%
Mathematics 6 4%
Other 7 5%
Unknown 4 3%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 19 January 2021.
All research outputs
#2,351,870
of 17,009,769 outputs
Outputs from Cancer Research
#2,032
of 15,267 outputs
Outputs of similar age
#54,214
of 276,426 outputs
Outputs of similar age from Cancer Research
#64
of 380 outputs
Altmetric has tracked 17,009,769 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,267 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. This one has done well, scoring higher than 82% 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 276,426 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 80% of its contemporaries.
We're also able to compare this research output to 380 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.