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 |
Inferring Fine-Grained Data Provenance in Stream Data Processing: Reduced Storage Cost, High Accuracy
|
---|---|
Chapter number | 11 |
Book title |
Database and Expert Systems Applications
|
Published by |
Springer, Berlin, Heidelberg, August 2011
|
DOI | 10.1007/978-3-642-23091-2_11 |
Book ISBNs |
978-3-64-223090-5, 978-3-64-223091-2
|
Authors |
Mohammad Rezwanul Huq, Andreas Wombacher, Peter M. G. Apers, Huq, Mohammad Rezwanul, Wombacher, Andreas, Apers, Peter M. G. |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 2 | 11% |
United Kingdom | 1 | 5% |
Uruguay | 1 | 5% |
Unknown | 15 | 79% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 9 | 47% |
Student > Master | 3 | 16% |
Researcher | 3 | 16% |
Student > Bachelor | 1 | 5% |
Other | 1 | 5% |
Other | 1 | 5% |
Unknown | 1 | 5% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 16 | 84% |
Materials Science | 1 | 5% |
Unknown | 2 | 11% |