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Supervised tensor learning

Overview of attention for article published in Knowledge and Information Systems, January 2007
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (78th percentile)

Mentioned by

blogs
1 blog

Citations

dimensions_citation
304 Dimensions

Readers on

mendeley
155 Mendeley
citeulike
1 CiteULike
Title
Supervised tensor learning
Published in
Knowledge and Information Systems, January 2007
DOI 10.1007/s10115-006-0050-6
Authors

Dacheng Tao, Xuelong Li, Xindong Wu, Weiming Hu, Stephen J. Maybank

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Portugal 1 <1%
Korea, Republic of 1 <1%
United Kingdom 1 <1%
Slovenia 1 <1%
France 1 <1%
China 1 <1%
Belgium 1 <1%
Thailand 1 <1%
Other 1 <1%
Unknown 142 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 60 39%
Student > Master 22 14%
Researcher 15 10%
Other 8 5%
Student > Postgraduate 7 5%
Other 25 16%
Unknown 18 12%
Readers by discipline Count As %
Computer Science 87 56%
Engineering 26 17%
Mathematics 7 5%
Agricultural and Biological Sciences 2 1%
Economics, Econometrics and Finance 2 1%
Other 8 5%
Unknown 23 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 09 October 2015.
All research outputs
#6,212,119
of 23,849,058 outputs
Outputs from Knowledge and Information Systems
#57
of 614 outputs
Outputs of similar age
#34,883
of 162,590 outputs
Outputs of similar age from Knowledge and Information Systems
#3
of 4 outputs
Altmetric has tracked 23,849,058 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 614 research outputs from this source. They receive a mean Attention Score of 2.3. This one has done particularly well, scoring higher than 90% 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 162,590 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% 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.