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X Demographics
Mendeley readers
Chapter title |
Ontology-Based Data Access for Extracting Event Logs from Legacy Data: The onprom Tool and Methodology
|
---|---|
Chapter number | 16 |
Book title |
Business Information Systems
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59336-4_16 |
Book ISBNs |
978-3-31-959335-7, 978-3-31-959336-4
|
Authors |
Diego Calvanese, Tahir Emre Kalayci, Marco Montali, Stefano Tinella, Calvanese, Diego, Kalayci, Tahir Emre, Montali, Marco, Tinella, Stefano |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Italy | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 41 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 15% |
Researcher | 6 | 15% |
Student > Ph. D. Student | 5 | 12% |
Student > Doctoral Student | 4 | 10% |
Professor | 2 | 5% |
Other | 5 | 12% |
Unknown | 13 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 20 | 49% |
Business, Management and Accounting | 2 | 5% |
Engineering | 2 | 5% |
Economics, Econometrics and Finance | 1 | 2% |
Unknown | 16 | 39% |