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Mendeley readers
Chapter title |
o-HETM: An Online Hierarchical Entity Topic Model for News Streams
|
---|---|
Chapter number | 54 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2015
|
DOI | 10.1007/978-3-319-18038-0_54 |
Book ISBNs |
978-3-31-918037-3, 978-3-31-918038-0
|
Authors |
Linmei Hu, Juanzi Li, Jing Zhang, Chao Shao |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 8% |
Unknown | 12 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 46% |
Student > Master | 4 | 31% |
Student > Doctoral Student | 1 | 8% |
Student > Bachelor | 1 | 8% |
Unknown | 1 | 8% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 46% |
Physics and Astronomy | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 5 | 38% |