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Mendeley readers
Chapter title |
Type Inference on Noisy RDF Data
|
---|---|
Chapter number | 32 |
Book title |
The Semantic Web – ISWC 2013
|
Published by |
Springer Berlin Heidelberg, January 2013
|
DOI | 10.1007/978-3-642-41335-3_32 |
Book ISBNs |
978-3-64-241334-6, 978-3-64-241335-3
|
Authors |
Heiko Paulheim, Christian Bizer |
Editors |
Harith Alani, Lalana Kagal, Achille Fokoue, Paul Groth, Chris Biemann, Josiane Xavier Parreira, Lora Aroyo, Natasha Noy, Chris Welty, Krzysztof Janowicz |
Mendeley readers
The data shown below were compiled from readership statistics for 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 2 | 2% |
United Kingdom | 2 | 2% |
Cyprus | 1 | 1% |
Austria | 1 | 1% |
United States | 1 | 1% |
Unknown | 88 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 23 | 24% |
Researcher | 17 | 18% |
Student > Master | 16 | 17% |
Other | 6 | 6% |
Professor | 4 | 4% |
Other | 12 | 13% |
Unknown | 17 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 64 | 67% |
Environmental Science | 2 | 2% |
Engineering | 2 | 2% |
Social Sciences | 2 | 2% |
Chemical Engineering | 1 | 1% |
Other | 4 | 4% |
Unknown | 20 | 21% |