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BoosTexter: A Boosting-based System for Text Categorization

Overview of attention for article published in Machine Learning, May 2000
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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 (70th percentile)

Mentioned by

patent
2 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
1537 Dimensions

Readers on

mendeley
661 Mendeley
citeulike
5 CiteULike
Title
BoosTexter: A Boosting-based System for Text Categorization
Published in
Machine Learning, May 2000
DOI 10.1023/a:1007649029923
Authors

Robert E. Schapire, Yoram Singer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 661 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
China 6 <1%
France 6 <1%
Germany 5 <1%
Spain 4 <1%
Turkey 3 <1%
Czechia 3 <1%
United Kingdom 3 <1%
Italy 2 <1%
Other 27 4%
Unknown 589 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 177 27%
Student > Master 129 20%
Researcher 76 11%
Student > Bachelor 39 6%
Professor > Associate Professor 30 5%
Other 112 17%
Unknown 98 15%
Readers by discipline Count As %
Computer Science 371 56%
Engineering 49 7%
Agricultural and Biological Sciences 28 4%
Linguistics 12 2%
Mathematics 12 2%
Other 69 10%
Unknown 120 18%
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 23 November 2022.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Machine Learning
#162
of 1,225 outputs
Outputs of similar age
#6,659
of 40,855 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 25,371,288 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 40,855 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 3 others from the same source and published within six weeks on either side of this one.