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Boosting for multiclass semi-supervised learning

Overview of attention for article published in Pattern Recognition Letters, February 2014
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Mentioned by

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1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
40 Mendeley
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1 CiteULike
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Title
Boosting for multiclass semi-supervised learning
Published in
Pattern Recognition Letters, February 2014
DOI 10.1016/j.patrec.2013.10.008
Authors

Jafar Tanha, Maarten van Someren, Hamideh Afsarmanesh

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 3%
Australia 1 3%
Unknown 38 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 30%
Student > Master 11 28%
Student > Bachelor 3 8%
Professor 3 8%
Student > Doctoral Student 3 8%
Other 7 18%
Unknown 1 3%
Readers by discipline Count As %
Computer Science 25 63%
Engineering 7 18%
Mathematics 4 10%
Agricultural and Biological Sciences 1 3%
Social Sciences 1 3%
Other 1 3%
Unknown 1 3%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 19 December 2013.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Pattern Recognition Letters
#1,535
of 1,683 outputs
Outputs of similar age
#282,803
of 322,718 outputs
Outputs of similar age from Pattern Recognition Letters
#17
of 20 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,683 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 322,718 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.