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Mendeley readers
Chapter title |
Machine Learning Techniques for Automatically Extracting Contextual Information from Scientific Publications
|
---|---|
Chapter number | 9 |
Book title |
Semantic Web Evaluation Challenges
|
Published by |
Springer, Cham, May 2015
|
DOI | 10.1007/978-3-319-25518-7_9 |
Book ISBNs |
978-3-31-925517-0, 978-3-31-925518-7
|
Authors |
Stefan Klampfl, Roman Kern |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 27% |
Student > Master | 7 | 27% |
Researcher | 2 | 8% |
Other | 1 | 4% |
Student > Doctoral Student | 1 | 4% |
Other | 0 | 0% |
Unknown | 8 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 46% |
Social Sciences | 2 | 8% |
Biochemistry, Genetics and Molecular Biology | 1 | 4% |
Economics, Econometrics and Finance | 1 | 4% |
Chemistry | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 35% |