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pROC: an open-source package for R and S+ to analyze and compare ROC curves

Overview of attention for article published in BMC Bioinformatics, March 2011
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
3 tweeters
patent
15 patents
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
3795 Dimensions

Readers on

mendeley
2012 Mendeley
citeulike
15 CiteULike
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Title
pROC: an open-source package for R and S+ to analyze and compare ROC curves
Published in
BMC Bioinformatics, March 2011
DOI 10.1186/1471-2105-12-77
Pubmed ID
Authors

Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia Tiberti, Frédérique Lisacek, Jean-Charles Sanchez, Markus Müller

Abstract

Receiver operating characteristic (ROC) curves are useful tools to evaluate classifiers in biomedical and bioinformatics applications. However, conclusions are often reached through inconsistent use or insufficient statistical analysis. To support researchers in their ROC curves analysis we developed pROC, a package for R and S+ that contains a set of tools displaying, analyzing, smoothing and comparing ROC curves in a user-friendly, object-oriented and flexible interface.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 2,012 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 36 2%
United Kingdom 12 <1%
Germany 10 <1%
Spain 8 <1%
Canada 6 <1%
Brazil 6 <1%
Denmark 3 <1%
Finland 3 <1%
France 3 <1%
Other 43 2%
Unknown 1882 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 492 24%
Researcher 481 24%
Student > Master 216 11%
Student > Doctoral Student 141 7%
Other 113 6%
Other 386 19%
Unknown 183 9%
Readers by discipline Count As %
Medicine and Dentistry 399 20%
Agricultural and Biological Sciences 378 19%
Biochemistry, Genetics and Molecular Biology 183 9%
Computer Science 111 6%
Psychology 92 5%
Other 521 26%
Unknown 328 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 25. 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 21 January 2020.
All research outputs
#875,873
of 16,128,351 outputs
Outputs from BMC Bioinformatics
#146
of 5,846 outputs
Outputs of similar age
#5,143
of 116,484 outputs
Outputs of similar age from BMC Bioinformatics
#5
of 179 outputs
Altmetric has tracked 16,128,351 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,846 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 97% 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 116,484 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 95% of its contemporaries.
We're also able to compare this research output to 179 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 97% of its contemporaries.