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Mendeley readers
Chapter title |
TSE-NER: An Iterative Approach for Long-Tail Entity Extraction in Scientific Publications
|
---|---|
Chapter number | 8 |
Book title |
The Semantic Web – ISWC 2018
|
Published by |
Springer, Cham, October 2018
|
DOI | 10.1007/978-3-030-00671-6_8 |
Book ISBNs |
978-3-03-000670-9, 978-3-03-000671-6
|
Authors |
Sepideh Mesbah, Christoph Lofi, Manuel Valle Torre, Alessandro Bozzon, Geert-Jan Houben |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 33 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 21% |
Student > Master | 5 | 15% |
Student > Bachelor | 5 | 15% |
Researcher | 2 | 6% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 9% |
Unknown | 9 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 48% |
Engineering | 4 | 12% |
Linguistics | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 0 | 0% |
Unknown | 10 | 30% |