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Mendeley readers
Chapter title |
Detecting Drinking-Related Contents on Social Media by Classifying Heterogeneous Data Types
|
---|---|
Chapter number | 38 |
Book title |
Advances in Artificial Intelligence: From Theory to Practice
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-60045-1_38 |
Book ISBNs |
978-3-31-960044-4, 978-3-31-960045-1
|
Authors |
Omar ElTayeby, Todd Eaglin, Malak Abdullah, David Burlinson, Wenwen Dou, Lixia Yao |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 15 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 2 | 13% |
Student > Bachelor | 2 | 13% |
Student > Ph. D. Student | 2 | 13% |
Student > Doctoral Student | 1 | 7% |
Student > Master | 1 | 7% |
Other | 3 | 20% |
Unknown | 4 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 40% |
Philosophy | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Decision Sciences | 1 | 7% |
Unknown | 6 | 40% |