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Twitter Demographics
Mendeley readers
Chapter title |
VLX-Stories: Building an Online Event Knowledge Base with Emerging Entity Detection
|
---|---|
Chapter number | 24 |
Book title |
The Semantic Web – ISWC 2019
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-30796-7_24 |
Book ISBNs |
978-3-03-030795-0, 978-3-03-030796-7
|
Authors |
Dèlia Fernàndez-Cañellas, Joan Espadaler, David Rodriguez, Blai Garolera, Gemma Canet, Aleix Colom, Joan Marco Rimmek, Xavier Giro-i-Nieto, Elisenda Bou, Juan Carlos Riveiro, Fernàndez-Cañellas, Dèlia, Espadaler, Joan, Rodriguez, David, Garolera, Blai, Canet, Gemma, Colom, Aleix, Rimmek, Joan Marco, Giro-i-Nieto, Xavier, Bou, Elisenda, Riveiro, Juan Carlos |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Japan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 23% |
Researcher | 2 | 15% |
Lecturer | 1 | 8% |
Librarian | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 54% |
Biochemistry, Genetics and Molecular Biology | 1 | 8% |
Unknown | 5 | 38% |