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Projected estimators for robust semi-supervised classification

Overview of attention for article published in Machine Learning, April 2017
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Mentioned by

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1 X user

Citations

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9 Dimensions

Readers on

mendeley
28 Mendeley
Title
Projected estimators for robust semi-supervised classification
Published in
Machine Learning, April 2017
DOI 10.1007/s10994-017-5626-8
Authors

Jesse H. Krijthe, Marco Loog

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Ph. D. Student 5 18%
Researcher 4 14%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 4 14%
Unknown 5 18%
Readers by discipline Count As %
Computer Science 16 57%
Engineering 2 7%
Philosophy 1 4%
Business, Management and Accounting 1 4%
Unspecified 1 4%
Other 2 7%
Unknown 5 18%
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 13 April 2017.
All research outputs
#15,453,139
of 22,963,381 outputs
Outputs from Machine Learning
#661
of 967 outputs
Outputs of similar age
#193,936
of 308,920 outputs
Outputs of similar age from Machine Learning
#4
of 5 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 20th percentile – i.e., 20% 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 308,920 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.