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Mendeley readers
Chapter title |
Marked Temporal Dynamics Modeling Based on Recurrent Neural Network
|
---|---|
Chapter number | 61 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2017
|
DOI | 10.1007/978-3-319-57454-7_61 |
Book ISBNs |
978-3-31-957453-0, 978-3-31-957454-7
|
Authors |
Yongqing Wang, Shenghua Liu, Huawei Shen, Jinhua Gao, Xueqi Cheng |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 2% |
Unknown | 56 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 33% |
Student > Master | 8 | 14% |
Researcher | 8 | 14% |
Student > Doctoral Student | 2 | 4% |
Student > Bachelor | 2 | 4% |
Other | 8 | 14% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 60% |
Engineering | 5 | 9% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Social Sciences | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 0 | 0% |
Unknown | 15 | 26% |