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| Title |
Knowledge Science, Engineering and Management
|
|---|---|
| Published by |
Springer International Publishing, January 2018
|
| DOI | 10.1007/978-3-319-99365-2 |
| ISBNs |
978-3-31-999364-5, 978-3-31-999365-2
|
| Editors |
Weiru Liu, Fausto Giunchiglia, Bo Yang |
Twitter Demographics
The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 21% |
| Student > Master | 3 | 16% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Student > Doctoral Student | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 8 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 42% |
| Economics, Econometrics and Finance | 1 | 5% |
| Neuroscience | 1 | 5% |
| Unknown | 9 | 47% |