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A numerical algorithm for block-diagonal decomposition of matrix -algebras with application to semidefinite programming

Overview of attention for article published in Japan Journal of Industrial and Applied Mathematics, May 2010
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1 X user
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1 Facebook page

Citations

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63 Dimensions

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mendeley
18 Mendeley
Title
A numerical algorithm for block-diagonal decomposition of matrix -algebras with application to semidefinite programming
Published in
Japan Journal of Industrial and Applied Mathematics, May 2010
DOI 10.1007/s13160-010-0006-9
Authors

Kazuo Murota, Yoshihiro Kanno, Masakazu Kojima, Sadayoshi Kojima

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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 6%
Unknown 17 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 28%
Researcher 3 17%
Student > Master 3 17%
Student > Bachelor 2 11%
Other 2 11%
Other 2 11%
Unknown 1 6%
Readers by discipline Count As %
Engineering 6 33%
Mathematics 3 17%
Computer Science 3 17%
Physics and Astronomy 3 17%
Business, Management and Accounting 1 6%
Other 1 6%
Unknown 1 6%
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 31 December 2018.
All research outputs
#18,810,041
of 23,975,976 outputs
Outputs from Japan Journal of Industrial and Applied Mathematics
#40
of 68 outputs
Outputs of similar age
#88,282
of 98,339 outputs
Outputs of similar age from Japan Journal of Industrial and Applied Mathematics
#2
of 2 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 68 research outputs from this source. They receive a mean Attention Score of 1.8. This one is in the 19th percentile – i.e., 19% 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 98,339 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.