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Discovering Subgroups of Patients from DNA Copy Number Data Using NMF on Compacted Matrices

Overview of attention for article published in PLOS ONE, November 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
1 X user
patent
1 patent

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
24 Mendeley
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Title
Discovering Subgroups of Patients from DNA Copy Number Data Using NMF on Compacted Matrices
Published in
PLOS ONE, November 2013
DOI 10.1371/journal.pone.0079720
Pubmed ID
Authors

Cassio P. de Campos, Paola M. V. Rancoita, Ivo Kwee, Emanuele Zucca, Marco Zaffalon, Francesco Bertoni

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
South Africa 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 17%
Researcher 4 17%
Professor 2 8%
Unspecified 2 8%
Student > Master 1 4%
Other 1 4%
Unknown 10 42%
Readers by discipline Count As %
Computer Science 5 21%
Agricultural and Biological Sciences 3 13%
Unspecified 2 8%
Biochemistry, Genetics and Molecular Biology 2 8%
Immunology and Microbiology 1 4%
Other 1 4%
Unknown 10 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 October 2021.
All research outputs
#8,269,042
of 25,998,826 outputs
Outputs from PLOS ONE
#111,321
of 225,406 outputs
Outputs of similar age
#90,068
of 321,552 outputs
Outputs of similar age from PLOS ONE
#1,993
of 5,254 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 225,406 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.8. This one is in the 49th percentile – i.e., 49% 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 321,552 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.
We're also able to compare this research output to 5,254 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.