You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Title |
Python Data Analytics
|
---|---|
Published by |
Apress, August 2015
|
DOI | 10.1007/978-1-4842-0958-5 |
ISBNs |
978-1-4842-0959-2, 978-1-4842-0958-5
|
Authors |
Nelli, Fabio |
Mendeley readers
The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 206 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 11% |
Student > Bachelor | 22 | 11% |
Researcher | 15 | 7% |
Student > Ph. D. Student | 14 | 7% |
Lecturer | 9 | 4% |
Other | 32 | 16% |
Unknown | 92 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 34 | 17% |
Engineering | 22 | 11% |
Agricultural and Biological Sciences | 8 | 4% |
Economics, Econometrics and Finance | 6 | 3% |
Business, Management and Accounting | 5 | 2% |
Other | 34 | 17% |
Unknown | 97 | 47% |