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Mendeley readers
Chapter title |
Bibliometric Network Analysis to Identify the Intellectual Structure and Evolution of the Big Data Research Field
|
---|---|
Chapter number | 13 |
Book title |
Intelligent Data Engineering and Automated Learning – IDEAL 2018
|
Published by |
Springer, Cham, November 2018
|
DOI | 10.1007/978-3-030-03496-2_13 |
Book ISBNs |
978-3-03-003495-5, 978-3-03-003496-2
|
Authors |
J. R. López-Robles, J. R. Otegi-Olaso, I. Porto Gomez, N. K. Gamboa-Rosales, H. Gamboa-Rosales, H. Robles-Berumen, López-Robles, J. R., Otegi-Olaso, J. R., Porto Gomez, I., Gamboa-Rosales, N. K., Gamboa-Rosales, H., Robles-Berumen, H. |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 13% |
Other | 4 | 13% |
Student > Master | 2 | 6% |
Student > Bachelor | 2 | 6% |
Professor > Associate Professor | 2 | 6% |
Other | 7 | 22% |
Unknown | 11 | 34% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 7 | 22% |
Business, Management and Accounting | 4 | 13% |
Computer Science | 4 | 13% |
Unspecified | 1 | 3% |
Philosophy | 1 | 3% |
Other | 3 | 9% |
Unknown | 12 | 38% |