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Mendeley readers
Chapter title |
A Text Feature Based Automatic Keyword Extraction Method for Single Documents
|
---|---|
Chapter number | 63 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, March 2018
|
DOI | 10.1007/978-3-319-76941-7_63 |
Book ISBNs |
978-3-31-976940-0, 978-3-31-976941-7
|
Authors |
Ricardo Campos, Vítor Mangaravite, Arian Pasquali, Alípio Mário Jorge, Célia Nunes, Adam Jatowt, Campos, Ricardo, Mangaravite, Vítor, Pasquali, Arian, Jorge, Alípio Mário, Nunes, Célia, Jatowt, Adam |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 97 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 22% |
Student > Ph. D. Student | 13 | 13% |
Student > Bachelor | 8 | 8% |
Student > Doctoral Student | 5 | 5% |
Other | 5 | 5% |
Other | 14 | 14% |
Unknown | 31 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 49 | 51% |
Engineering | 5 | 5% |
Mathematics | 2 | 2% |
Arts and Humanities | 2 | 2% |
Agricultural and Biological Sciences | 1 | 1% |
Other | 3 | 3% |
Unknown | 35 | 36% |