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Mendeley readers
Chapter title |
Predicting Severity of Road Traffic Congestion Using Semantic Web Technologies
|
---|---|
Chapter number | 41 |
Book title |
The Semantic Web: Trends and Challenges
|
Published in |
Lecture notes in computer science, January 2014
|
DOI | 10.1007/978-3-319-07443-6_41 |
Book ISBNs |
978-3-31-907442-9, 978-3-31-907443-6
|
Authors |
Freddy Lécué, Robert Tucker, Veli Bicer, Pierpaolo Tommasi, Simone Tallevi-Diotallevi, Marco Sbodio |
Editors |
Valentina Presutti, Claudia d’Amato, Fabien Gandon, Mathieu d’Aquin, Steffen Staab, Anna Tordai |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 1% |
Australia | 1 | 1% |
Egypt | 1 | 1% |
Unknown | 65 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 24% |
Student > Master | 12 | 18% |
Researcher | 10 | 15% |
Student > Bachelor | 6 | 9% |
Student > Doctoral Student | 5 | 7% |
Other | 9 | 13% |
Unknown | 10 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 36 | 53% |
Engineering | 13 | 19% |
Biochemistry, Genetics and Molecular Biology | 1 | 1% |
Mathematics | 1 | 1% |
Business, Management and Accounting | 1 | 1% |
Other | 3 | 4% |
Unknown | 13 | 19% |