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Mendeley readers
Chapter title |
Exploring Online Course Sociograms Using Cohesion Network Analysis
|
---|---|
Chapter number | 63 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93846-2_63 |
Book ISBNs |
978-3-31-993845-5, 978-3-31-993846-2
|
Authors |
Maria-Dorinela Sirbu, Mihai Dascalu, Scott A. Crossley, Danielle S. McNamara, Tiffany Barnes, Collin F. Lynch, Stefan Trausan-Matu, Sirbu, Maria-Dorinela, Dascalu, Mihai, Crossley, Scott A., McNamara, Danielle S., Barnes, Tiffany, Lynch, Collin F., Trausan-Matu, Stefan |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 17% |
Student > Bachelor | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Other | 1 | 4% |
Professor | 1 | 4% |
Other | 3 | 13% |
Unknown | 8 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 17% |
Social Sciences | 2 | 9% |
Engineering | 2 | 9% |
Business, Management and Accounting | 1 | 4% |
Linguistics | 1 | 4% |
Other | 4 | 17% |
Unknown | 9 | 39% |