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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 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#46 of 7,740)
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
policy
1 policy source
twitter
5 X users
patent
40 patents
facebook
1 Facebook page
googleplus
2 Google+ users

Citations

dimensions_citation
8762 Dimensions

Readers on

mendeley
3202 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

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 3,202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 33 1%
United Kingdom 12 <1%
Germany 10 <1%
Spain 8 <1%
Canada 6 <1%
Brazil 5 <1%
Denmark 3 <1%
Portugal 3 <1%
Finland 3 <1%
Other 39 1%
Unknown 3080 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 688 21%
Researcher 648 20%
Student > Master 330 10%
Student > Bachelor 202 6%
Student > Doctoral Student 198 6%
Other 537 17%
Unknown 599 19%
Readers by discipline Count As %
Medicine and Dentistry 564 18%
Agricultural and Biological Sciences 466 15%
Biochemistry, Genetics and Molecular Biology 326 10%
Computer Science 147 5%
Environmental Science 118 4%
Other 773 24%
Unknown 808 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 54. 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 14 December 2023.
All research outputs
#795,091
of 25,743,152 outputs
Outputs from BMC Bioinformatics
#46
of 7,740 outputs
Outputs of similar age
#2,913
of 129,608 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 44 outputs
Altmetric has tracked 25,743,152 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,740 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 99% 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 129,608 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 97% of its contemporaries.
We're also able to compare this research output to 44 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.