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Efficient algorithms for ranking with SVMs

Overview of attention for article published in Information Retrieval Journal, September 2009
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Mentioned by

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1 patent

Readers on

mendeley
180 Mendeley
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2 CiteULike
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Title
Efficient algorithms for ranking with SVMs
Published in
Information Retrieval Journal, September 2009
DOI 10.1007/s10791-009-9109-9
Authors

O. Chapelle, S. S. Keerthi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 4%
Netherlands 1 <1%
France 1 <1%
Cuba 1 <1%
Brazil 1 <1%
Lithuania 1 <1%
Germany 1 <1%
India 1 <1%
United Kingdom 1 <1%
Other 6 3%
Unknown 158 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 57 32%
Student > Master 34 19%
Researcher 28 16%
Student > Bachelor 14 8%
Student > Doctoral Student 9 5%
Other 22 12%
Unknown 16 9%
Readers by discipline Count As %
Computer Science 129 72%
Engineering 14 8%
Mathematics 5 3%
Design 3 2%
Agricultural and Biological Sciences 2 1%
Other 8 4%
Unknown 19 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 January 2021.
All research outputs
#8,064,660
of 24,217,893 outputs
Outputs from Information Retrieval Journal
#60
of 184 outputs
Outputs of similar age
#34,187
of 95,180 outputs
Outputs of similar age from Information Retrieval Journal
#3
of 6 outputs
Altmetric has tracked 24,217,893 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 184 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 95,180 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.