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Twitter Demographics
Mendeley readers
| Title |
S-BPM in the Production Industry
|
|---|---|
| Published by |
Springer International Publishing, January 2017
|
| DOI | 10.1007/978-3-319-48466-2 |
| ISBNs |
978-3-31-948465-5, 978-3-31-948466-2
|
| Editors |
Matthias Neubauer, Christian Stary |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 19% |
| Researcher | 8 | 12% |
| Student > Ph. D. Student | 6 | 9% |
| Lecturer | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 14 | 21% |
| Unknown | 17 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 22% |
| Computer Science | 12 | 18% |
| Business, Management and Accounting | 7 | 10% |
| Economics, Econometrics and Finance | 4 | 6% |
| Linguistics | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 19 | 28% |