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 |
Methods of Determining Errors in Open-Ended Text Questions
|
---|---|
Chapter number | 67 |
Book title |
Biologically Inspired Cognitive Architectures 2019
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-25719-4_67 |
Book ISBNs |
978-3-03-025718-7, 978-3-03-025719-4
|
Authors |
Oleg Sychev, Anton Anikin, Artem Prokudin, Sychev, Oleg, Anikin, Anton, Prokudin, Artem |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 2 | 29% |
Student > Ph. D. Student | 1 | 14% |
Unspecified | 1 | 14% |
Other | 1 | 14% |
Researcher | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Arts and Humanities | 1 | 14% |
Business, Management and Accounting | 1 | 14% |
Unspecified | 1 | 14% |
Unknown | 1 | 14% |