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Twitter Demographics
Mendeley readers
| Title |
Diagrammatic Representation and Inference
|
|---|---|
| Published by |
Springer International Publishing, January 2018
|
| DOI | 10.1007/978-3-319-91376-6 |
| ISBNs |
978-3-31-991375-9, 978-3-31-991376-6
|
| Editors |
Peter Chapman, Gem Stapleton, Amirouche Moktefi, Sarah Perez-Kriz, Francesco Bellucci |
Twitter Demographics
The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 7% |
| United States | 1 | 7% |
| Canada | 1 | 7% |
| United Kingdom | 1 | 7% |
| France | 1 | 7% |
| Mexico | 1 | 7% |
| Hong Kong | 1 | 7% |
| Unknown | 7 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 79% |
| Scientists | 3 | 21% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 9% |
| Unknown | 10 | 91% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 1 | 9% |
| Unknown | 10 | 91% |