↓ Skip to main content

Improved Boosting Algorithms Using Confidence-rated Predictions

Overview of attention for article published in Machine Learning, December 1999
Altmetric Badge

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 (83rd percentile)

Mentioned by

patent
1 patent
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
1957 Dimensions

Readers on

mendeley
873 Mendeley
citeulike
19 CiteULike
Title
Improved Boosting Algorithms Using Confidence-rated Predictions
Published in
Machine Learning, December 1999
DOI 10.1023/a:1007614523901
Authors

Robert E. Schapire, Yoram Singer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 873 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 25 3%
Germany 12 1%
China 11 1%
United Kingdom 9 1%
France 5 <1%
Australia 4 <1%
Spain 4 <1%
Czechia 4 <1%
Austria 3 <1%
Other 26 3%
Unknown 770 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 283 32%
Student > Master 149 17%
Researcher 131 15%
Student > Bachelor 61 7%
Professor > Associate Professor 44 5%
Other 123 14%
Unknown 82 9%
Readers by discipline Count As %
Computer Science 487 56%
Engineering 143 16%
Mathematics 32 4%
Agricultural and Biological Sciences 21 2%
Physics and Astronomy 9 1%
Other 69 8%
Unknown 112 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 30 July 2023.
All research outputs
#5,447,195
of 25,374,917 outputs
Outputs from Machine Learning
#162
of 1,225 outputs
Outputs of similar age
#10,580
of 107,744 outputs
Outputs of similar age from Machine Learning
#3
of 4 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,225 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done well, scoring higher than 83% 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 107,744 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 83% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.