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Mendeley readers
Title |
An efficient, scalable, and adaptable framework for solving generic systems of level-set PDEs
|
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Published in |
Frontiers in Neuroinformatics, January 2013
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DOI | 10.3389/fninf.2013.00035 |
Pubmed ID | |
Authors |
Kishore R. Mosaliganti, Arnaud Gelas, Sean G. Megason |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Greece | 1 | 2% |
China | 1 | 2% |
France | 1 | 2% |
Unknown | 41 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 12 | 27% |
Researcher | 6 | 13% |
Student > Bachelor | 4 | 9% |
Student > Master | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Other | 9 | 20% |
Unknown | 7 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 10 | 22% |
Computer Science | 10 | 22% |
Agricultural and Biological Sciences | 7 | 16% |
Nursing and Health Professions | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Other | 7 | 16% |
Unknown | 7 | 16% |