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Mendeley readers
| Chapter title |
METEOR-S Web Service Annotation Framework with Machine Learning Classification
|
|---|---|
| Chapter number | 12 |
| Book title |
Semantic Web Services and Web Process Composition
|
| Published by |
Springer, Berlin, Heidelberg, July 2004
|
| DOI | 10.1007/978-3-540-30581-1_12 |
| Book ISBNs |
978-3-54-024328-1, 978-3-54-030581-1
|
| Authors |
Nicole Oldham, Christopher Thomas, Amit Sheth, Kunal Verma, Oldham, Nicole, Thomas, Christopher, Sheth, Amit, Verma, Kunal |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 1 | 4% |
| Sweden | 1 | 4% |
| United Kingdom | 1 | 4% |
| Romania | 1 | 4% |
| Greece | 1 | 4% |
| Unknown | 23 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 32% |
| Professor > Associate Professor | 4 | 14% |
| Student > Master | 3 | 11% |
| Other | 2 | 7% |
| Professor | 2 | 7% |
| Other | 4 | 14% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 75% |
| Social Sciences | 1 | 4% |
| Medicine and Dentistry | 1 | 4% |
| Engineering | 1 | 4% |
| Unknown | 4 | 14% |