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Mendeley readers
Chapter title |
Predicting Human Scores of Essay Quality Using Computational Indices of Linguistic and Textual Features
|
---|---|
Chapter number | 62 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Berlin, Heidelberg, June 2011
|
DOI | 10.1007/978-3-642-21869-9_62 |
Book ISBNs |
978-3-64-221868-2, 978-3-64-221869-9
|
Authors |
Scott A. Crossley, Rod Roscoe, Danielle S. McNamara |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Chile | 1 | 2% |
Brazil | 1 | 2% |
Unknown | 46 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 33% |
Researcher | 8 | 17% |
Student > Master | 5 | 10% |
Student > Doctoral Student | 3 | 6% |
Student > Bachelor | 2 | 4% |
Other | 6 | 13% |
Unknown | 8 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 33% |
Linguistics | 12 | 25% |
Psychology | 6 | 13% |
Social Sciences | 2 | 4% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 3 | 6% |
Unknown | 8 | 17% |