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X Demographics
Mendeley readers
Chapter title |
Applicability of Machine Learning Methods to Multi-label Medical Text Classification
|
---|---|
Chapter number | 38 |
Book title |
Computational Science – ICCS 2020
|
Published by |
Springer, Cham, June 2020
|
DOI | 10.1007/978-3-030-50423-6_38 |
Book ISBNs |
978-3-03-050422-9, 978-3-03-050423-6
|
Authors |
Iuliia Lenivtceva, Evgenia Slasten, Mariya Kashina, Georgy Kopanitsa, Lenivtceva, Iuliia, Slasten, Evgenia, Kashina, Mariya, Kopanitsa, Georgy |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
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 % |
---|---|---|
Researcher | 2 | 13% |
Student > Ph. D. Student | 1 | 7% |
Student > Doctoral Student | 1 | 7% |
Student > Master | 1 | 7% |
Unknown | 10 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 40% |
Linguistics | 1 | 7% |
Unknown | 8 | 53% |