You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Robust Neural Automated Essay Scoring Using Item Response Theory
|
---|---|
Chapter number | 44 |
Book title |
Artificial Intelligence in Education
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-52237-7_44 |
Book ISBNs |
978-3-03-052236-0, 978-3-03-052237-7
|
Authors |
Masaki Uto, Masashi Okano, Uto, Masaki, Okano, Masashi |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 51 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 14% |
Student > Bachelor | 6 | 12% |
Professor > Associate Professor | 4 | 8% |
Student > Doctoral Student | 3 | 6% |
Researcher | 3 | 6% |
Other | 2 | 4% |
Unknown | 26 | 51% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 16% |
Linguistics | 5 | 10% |
Engineering | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 1 | 2% |
Agricultural and Biological Sciences | 1 | 2% |
Other | 8 | 16% |
Unknown | 26 | 51% |