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Mendeley readers
Chapter title |
Using Text Mining Tools to Define Trends in Territorial Competitiveness Indicators
|
---|---|
Chapter number | 57 |
Book title |
Applied Computer Sciences in Engineering
|
Published by |
Springer, Cham, October 2019
|
DOI | 10.1007/978-3-030-31019-6_57 |
Book ISBNs |
978-3-03-031018-9, 978-3-03-031019-6
|
Authors |
David Ovallos-Gazabon, Nataly Puello-Pereira, Farid Meléndez-Pertuz, Jaime Vélez-Zapata, Emiro De-La-Hoz-Franco, Joaquín F. Sanchez, Claudia Caro-Ruiz, César A. Cárdenas, Carlos Collazos-Morales, Ovallos-Gazabon, David, Puello-Pereira, Nataly, Meléndez-Pertuz, Farid, Vélez-Zapata, Jaime, De-La-Hoz-Franco, Emiro, Sanchez, Joaquín F., Caro-Ruiz, Claudia, Cárdenas, César A., Collazos-Morales, Carlos |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 23% |
Researcher | 4 | 10% |
Professor | 3 | 8% |
Lecturer | 2 | 5% |
Student > Master | 2 | 5% |
Other | 5 | 13% |
Unknown | 14 | 36% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 13% |
Business, Management and Accounting | 5 | 13% |
Engineering | 4 | 10% |
Economics, Econometrics and Finance | 3 | 8% |
Social Sciences | 2 | 5% |
Other | 5 | 13% |
Unknown | 15 | 38% |