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Mendeley readers
Chapter title |
Using Government Data and Machine Learning for Predicting Firms’ Vulnerability to Economic Crisis
|
---|---|
Chapter number | 26 |
Book title |
Electronic Government
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-57599-1_26 |
Book ISBNs |
978-3-03-057598-4, 978-3-03-057599-1
|
Authors |
Euripidis Loukis, Niki Kyriakou, Manolis Maragoudakis |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 86 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 16% |
Student > Master | 11 | 13% |
Researcher | 10 | 12% |
Student > Doctoral Student | 7 | 8% |
Professor | 5 | 6% |
Other | 13 | 15% |
Unknown | 26 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 21% |
Business, Management and Accounting | 14 | 16% |
Social Sciences | 10 | 12% |
Economics, Econometrics and Finance | 3 | 3% |
Engineering | 2 | 2% |
Other | 11 | 13% |
Unknown | 28 | 33% |