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On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines

Overview of attention for article published in IEEE Transactions on Knowledge and Data Engineering, March 2013
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Mentioned by

patent
3 patents

Readers on

mendeley
22 Mendeley
citeulike
1 CiteULike
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Article details
Title
On Generalizable Low False-Positive Learning Using Asymmetric Support Vector Machines
Published in
IEEE Transactions on Knowledge and Data Engineering, March 2013
DOI 10.1109/tkde.2012.46
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Korea, Republic of 1 5%
Brazil 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 7 32%
Student > Master 4 18%
Student > Doctoral Student 2 9%
Professor 2 9%
Professor > Associate Professor 2 9%
Other 4 18%
Unknown 1 5%
Readers by discipline
Readers by discipline Count As %
Computer Science 15 68%
Engineering 3 14%
Mathematics 1 5%
Agricultural and Biological Sciences 1 5%
Unknown 2 9%
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 11 August 2026.
All research outputs
#8,535,684
of 25,377,790 outputs
Outputs from IEEE Transactions on Knowledge and Data Engineering
#455
of 2,365 outputs
Outputs of similar age
#71,819
of 210,198 outputs
Outputs of similar age from IEEE Transactions on Knowledge and Data Engineering
#7
of 18 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,365 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 45th percentile – i.e., 45% 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 210,198 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.