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Introduction to the special issue on learning from multi-label data

Overview of attention for article published in Machine Learning, April 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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3 X users
patent
1 patent

Citations

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27 Dimensions

Readers on

mendeley
41 Mendeley
Title
Introduction to the special issue on learning from multi-label data
Published in
Machine Learning, April 2012
DOI 10.1007/s10994-012-5292-9
Authors

Grigorios Tsoumakas, Min-Ling Zhang, Zhi-Hua Zhou

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
China 1 2%
Australia 1 2%
Unknown 38 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 27%
Student > Master 11 27%
Professor 3 7%
Researcher 3 7%
Student > Doctoral Student 3 7%
Other 4 10%
Unknown 6 15%
Readers by discipline Count As %
Computer Science 28 68%
Engineering 5 12%
Decision Sciences 1 2%
Physics and Astronomy 1 2%
Unknown 6 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 12 August 2014.
All research outputs
#5,847,892
of 22,664,644 outputs
Outputs from Machine Learning
#195
of 952 outputs
Outputs of similar age
#40,098
of 163,320 outputs
Outputs of similar age from Machine Learning
#1
of 4 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 952 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done well, scoring higher than 79% 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 163,320 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 74% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them