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Mendeley readers
Chapter title |
Legal Document Retrieval Using Document Vector Embeddings and Deep Learning
|
---|---|
Chapter number | 12 |
Book title |
Intelligent Computing
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-030-01177-2_12 |
Book ISBNs |
978-3-03-001176-5, 978-3-03-001177-2
|
Authors |
Keet Sugathadasa, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, Madhavi Perera, Sugathadasa, Keet, Ayesha, Buddhi, Silva, Nisansa de, Perera, Amal Shehan, Jayawardana, Vindula, Lakmal, Dimuthu, Perera, Madhavi |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 88 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 18% |
Student > Master | 13 | 15% |
Student > Bachelor | 8 | 9% |
Researcher | 8 | 9% |
Other | 6 | 7% |
Other | 10 | 11% |
Unknown | 27 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 44 | 50% |
Mathematics | 3 | 3% |
Business, Management and Accounting | 2 | 2% |
Arts and Humanities | 2 | 2% |
Engineering | 2 | 2% |
Other | 5 | 6% |
Unknown | 30 | 34% |