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X Demographics
Mendeley readers
Title |
Advances in Self-Organizing Maps and Learning Vector Quantization
|
---|---|
Published by |
Springer International Publishing, January 2014
|
DOI | 10.1007/978-3-319-07695-9 |
ISBNs |
978-3-31-907694-2, 978-3-31-907695-9
|
Editors |
Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 33% |
United Kingdom | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 83% |
Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 2% |
Chile | 1 | 2% |
France | 1 | 2% |
Unknown | 46 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 19 | 39% |
Student > Master | 9 | 18% |
Student > Doctoral Student | 5 | 10% |
Professor > Associate Professor | 4 | 8% |
Student > Postgraduate | 3 | 6% |
Other | 7 | 14% |
Unknown | 2 | 4% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 18 | 37% |
Engineering | 13 | 27% |
Agricultural and Biological Sciences | 2 | 4% |
Neuroscience | 2 | 4% |
Earth and Planetary Sciences | 1 | 2% |
Other | 10 | 20% |
Unknown | 3 | 6% |