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X Demographics
Mendeley readers
Chapter title |
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification
|
---|---|
Chapter number | 25 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, April 2020
|
DOI | 10.1007/978-3-030-45439-5_25 |
Book ISBNs |
978-3-03-045438-8, 978-3-03-045439-5
|
Authors |
Zhibin Lu, Pan Du, Jian-Yun Nie |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 114 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 32 | 28% |
Researcher | 16 | 14% |
Student > Master | 15 | 13% |
Student > Doctoral Student | 6 | 5% |
Student > Postgraduate | 6 | 5% |
Other | 8 | 7% |
Unknown | 31 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 64 | 56% |
Engineering | 4 | 4% |
Business, Management and Accounting | 3 | 3% |
Neuroscience | 2 | 2% |
Linguistics | 1 | <1% |
Other | 5 | 4% |
Unknown | 35 | 31% |