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 |
Optimizing Large-Scale Semi-Naïve Datalog Evaluation in Hadoop
|
|---|---|
| Chapter number | 17 |
| Book title |
Datalog in Academia and Industry
|
| Published by |
Springer, Berlin, Heidelberg, January 2012
|
| DOI | 10.1007/978-3-642-32925-8_17 |
| Book ISBNs |
978-3-64-232924-1, 978-3-64-232925-8
|
| Authors |
Marianne Shaw, Paraschos Koutris, Bill Howe, Dan Suciu, Shaw, Marianne, Koutris, Paraschos, Howe, Bill, Suciu, Dan |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 7% |
| Unknown | 13 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 29% |
| Student > Master | 2 | 14% |
| Professor | 2 | 14% |
| Researcher | 2 | 14% |
| Other | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 86% |
| Unknown | 2 | 14% |