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Mendeley readers
Chapter title |
Text Mining of Online News and Social Data About Chatbot Service
|
---|---|
Chapter number | 61 |
Book title |
HCI International 2018 – Posters' Extended Abstracts
|
Published by |
Springer, Cham, July 2018
|
DOI | 10.1007/978-3-319-92270-6_61 |
Book ISBNs |
978-3-31-992269-0, 978-3-31-992270-6
|
Authors |
Yunjik Jeong, Jaehye Suk, Jihyung Hong, Dongmin Kim, Kee Ok Kim, Hyesun Hwang, Jeong, Yunjik, Suk, Jaehye, Hong, Jihyung, Kim, Dongmin, Kim, Kee Ok, Hwang, Hyesun |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 15% |
Student > Ph. D. Student | 4 | 12% |
Student > Master | 4 | 12% |
Researcher | 2 | 6% |
Lecturer | 1 | 3% |
Other | 3 | 9% |
Unknown | 14 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 4 | 12% |
Computer Science | 4 | 12% |
Engineering | 3 | 9% |
Economics, Econometrics and Finance | 3 | 9% |
Unspecified | 1 | 3% |
Other | 3 | 9% |
Unknown | 15 | 45% |