The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Timeline
Mendeley readers
Title |
An Information-Theoretic Approach for Evaluating Probabilistic Tuning Functions of Single Neurons
|
---|---|
Published in |
Frontiers in Computational Neuroscience, January 2011
|
DOI | 10.3389/fncom.2011.00015 |
Pubmed ID | |
Authors |
Lukas Brostek, Thomas Eggert, Seiji Ono, Michael J. Mustari, Ulrich Büttner, Stefan Glasauer |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 8% |
Japan | 1 | 3% |
United Kingdom | 1 | 3% |
Germany | 1 | 3% |
Unknown | 34 | 85% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 20% |
Researcher | 8 | 20% |
Professor > Associate Professor | 7 | 18% |
Student > Ph. D. Student | 7 | 18% |
Professor | 3 | 8% |
Other | 3 | 8% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 14 | 35% |
Neuroscience | 7 | 18% |
Engineering | 5 | 13% |
Computer Science | 3 | 8% |
Psychology | 2 | 5% |
Other | 6 | 15% |
Unknown | 3 | 8% |