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X Demographics
Mendeley readers
Chapter title |
Fast Nonnegative Tensor Factorization by Using Accelerated Proximal Gradient
|
---|---|
Chapter number | 51 |
Book title |
Advances in Neural Networks – ISNN 2014
|
Published by |
Springer, Cham, November 2014
|
DOI | 10.1007/978-3-319-12436-0_51 |
Book ISBNs |
978-3-31-912435-3, 978-3-31-912436-0
|
Authors |
Guoxu Zhou, Qibin Zhao, Yu Zhang, Andrzej Cichocki, Zhou, Guoxu, Zhao, Qibin, Zhang, Yu, Cichocki, Andrzej |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 22% |
Professor | 2 | 22% |
Librarian | 1 | 11% |
Researcher | 1 | 11% |
Student > Master | 1 | 11% |
Other | 0 | 0% |
Unknown | 2 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 44% |
Arts and Humanities | 1 | 11% |
Mathematics | 1 | 11% |
Engineering | 1 | 11% |
Unknown | 2 | 22% |