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Convex multi-task feature learning

Overview of attention for article published in Machine Learning, January 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

blogs
1 blog
patent
4 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
985 Dimensions

Readers on

mendeley
602 Mendeley
citeulike
6 CiteULike
Title
Convex multi-task feature learning
Published in
Machine Learning, January 2008
DOI 10.1007/s10994-007-5040-8
Authors

Andreas Argyriou, Theodoros Evgeniou, Massimiliano Pontil

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 602 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 13 2%
Switzerland 4 <1%
China 4 <1%
Germany 3 <1%
United Kingdom 3 <1%
Italy 2 <1%
Hong Kong 2 <1%
Australia 2 <1%
Japan 2 <1%
Other 11 2%
Unknown 556 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 211 35%
Student > Master 91 15%
Researcher 84 14%
Student > Bachelor 27 4%
Professor > Associate Professor 22 4%
Other 80 13%
Unknown 87 14%
Readers by discipline Count As %
Computer Science 301 50%
Engineering 75 12%
Mathematics 33 5%
Neuroscience 10 2%
Physics and Astronomy 8 1%
Other 57 9%
Unknown 118 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 25 April 2023.
All research outputs
#2,710,003
of 22,959,818 outputs
Outputs from Machine Learning
#66
of 967 outputs
Outputs of similar age
#11,343
of 157,162 outputs
Outputs of similar age from Machine Learning
#2
of 3 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 967 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done particularly well, scoring higher than 93% 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 157,162 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.