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Copynumber: Efficient algorithms for single- and multi-track copy number segmentation

Overview of attention for article published in BMC Genomics, November 2012
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
twitter
5 X users
patent
6 patents

Citations

dimensions_citation
259 Dimensions

Readers on

mendeley
220 Mendeley
citeulike
3 CiteULike
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Title
Copynumber: Efficient algorithms for single- and multi-track copy number segmentation
Published in
BMC Genomics, November 2012
DOI 10.1186/1471-2164-13-591
Pubmed ID
Authors

Gro Nilsen, Knut Liestøl, Peter Van Loo, Hans Kristian Moen Vollan, Marianne B Eide, Oscar M Rueda, Suet-Feung Chin, Roslin Russell, Lars O Baumbusch, Carlos Caldas, Anne-Lise Børresen-Dale, Ole Christian Lingjærde

Abstract

Cancer progression is associated with genomic instability and an accumulation of gains and losses of DNA. The growing variety of tools for measuring genomic copy numbers, including various types of array-CGH, SNP arrays and high-throughput sequencing, calls for a coherent framework offering unified and consistent handling of single- and multi-track segmentation problems. In addition, there is a demand for highly computationally efficient segmentation algorithms, due to the emergence of very high density scans of copy number.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 220 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
Norway 3 1%
United Kingdom 2 <1%
Sweden 2 <1%
Portugal 1 <1%
Mexico 1 <1%
Australia 1 <1%
Unknown 205 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 25%
Student > Ph. D. Student 49 22%
Student > Master 24 11%
Student > Bachelor 18 8%
Student > Doctoral Student 11 5%
Other 23 10%
Unknown 40 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 61 28%
Biochemistry, Genetics and Molecular Biology 55 25%
Medicine and Dentistry 31 14%
Computer Science 8 4%
Immunology and Microbiology 4 2%
Other 16 7%
Unknown 45 20%
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 26 October 2022.
All research outputs
#1,812,055
of 25,837,817 outputs
Outputs from BMC Genomics
#369
of 11,367 outputs
Outputs of similar age
#11,938
of 205,765 outputs
Outputs of similar age from BMC Genomics
#2
of 203 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 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,367 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 96% 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 205,765 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 93% of its contemporaries.
We're also able to compare this research output to 203 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 99% of its contemporaries.