You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Detecting Incorrect Numerical Data in DBpedia
|
---|---|
Chapter number | 34 |
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_34 |
Book ISBNs |
978-3-31-907442-9, 978-3-31-907443-6
|
Authors |
Dominik Wienand, Heiko Paulheim |
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 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 2% |
Unknown | 57 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 29% |
Student > Master | 13 | 22% |
Researcher | 6 | 10% |
Student > Bachelor | 3 | 5% |
Student > Doctoral Student | 3 | 5% |
Other | 5 | 9% |
Unknown | 11 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 39 | 67% |
Engineering | 2 | 3% |
Medicine and Dentistry | 1 | 2% |
Psychology | 1 | 2% |
Unknown | 15 | 26% |