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Mendeley readers
Chapter title |
GTM: A principled alternative to the Self-Organizing Map
|
---|---|
Chapter number | 31 |
Book title |
Artificial Neural Networks — ICANN 96
|
Published by |
Springer, Berlin, Heidelberg, July 1996
|
DOI | 10.1007/3-540-61510-5_31 |
Book ISBNs |
978-3-54-061510-1, 978-3-54-068684-2
|
Authors |
Christopher M. Bishop, Markus Svensén, Christopher K. I. Williams |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 4% |
Germany | 1 | 1% |
Korea, Republic of | 1 | 1% |
Brazil | 1 | 1% |
United Kingdom | 1 | 1% |
Turkey | 1 | 1% |
Belgium | 1 | 1% |
Canada | 1 | 1% |
China | 1 | 1% |
Other | 1 | 1% |
Unknown | 65 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 30% |
Student > Ph. D. Student | 17 | 22% |
Student > Master | 11 | 14% |
Student > Doctoral Student | 5 | 6% |
Professor | 5 | 6% |
Other | 9 | 12% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 32% |
Engineering | 15 | 19% |
Agricultural and Biological Sciences | 6 | 8% |
Chemistry | 4 | 5% |
Earth and Planetary Sciences | 3 | 4% |
Other | 13 | 17% |
Unknown | 11 | 14% |