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X Demographics
Mendeley readers
Title |
Unsupervised Learning Algorithms
|
---|---|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-24211-8 |
ISBNs |
978-3-31-924209-5, 978-3-31-924211-8
|
Editors |
M. Emre Celebi, Kemal Aydin |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Nigeria | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 386 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | <1% |
Italy | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 382 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 63 | 16% |
Student > Master | 57 | 15% |
Student > Bachelor | 36 | 9% |
Researcher | 35 | 9% |
Student > Doctoral Student | 22 | 6% |
Other | 48 | 12% |
Unknown | 125 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 93 | 24% |
Engineering | 70 | 18% |
Business, Management and Accounting | 9 | 2% |
Mathematics | 7 | 2% |
Agricultural and Biological Sciences | 6 | 2% |
Other | 57 | 15% |
Unknown | 144 | 37% |