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Regularized ROC method for disease classification and biomarker selection with microarray data

Overview of attention for article published in Bioinformatics, October 2005
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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 (79th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

patent
4 patents

Readers on

mendeley
105 Mendeley
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Article details
Title
Regularized ROC method for disease classification and biomarker selection with microarray data
Published in
Bioinformatics, October 2005
DOI 10.1093/bioinformatics/bti724
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United Kingdom 4 4%
United States 3 3%
Malaysia 2 2%
France 2 2%
China 2 2%
Korea, Republic of 1 <1%
Italy 1 <1%
India 1 <1%
Israel 1 <1%
Other 4 4%
Unknown 84 80%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 26 25%
Researcher 19 18%
Student > Master 15 14%
Professor > Associate Professor 8 8%
Student > Postgraduate 6 6%
Other 18 17%
Unknown 13 12%
Readers by discipline
Readers by discipline Count As %
Computer Science 22 21%
Agricultural and Biological Sciences 18 17%
Mathematics 17 16%
Medicine and Dentistry 10 10%
Engineering 6 6%
Other 15 14%
Unknown 17 16%
Attention Score in Context

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 03 October 2017.
All research outputs
#5,056,682
of 34,054,827 outputs
Outputs from Bioinformatics
#3,813
of 14,392 outputs
Outputs of similar age
#13,864
of 100,538 outputs
Outputs of similar age from Bioinformatics
#18
of 74 outputs
Altmetric has tracked 34,054,827 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 14,392 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one has gotten more attention than average, scoring higher than 71% 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 100,538 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 79% of its contemporaries.
We're also able to compare this research output to 74 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 64% of its contemporaries.