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X Demographics
Mendeley readers
| Title |
GeoAI: spatially explicit artificial intelligence techniques for geographic knowledge discovery and beyond
|
|---|---|
| Published in |
International Journal of Geographical Information Science, October 2019
|
| DOI | 10.1080/13658816.2019.1684500 |
| Authors |
Krzysztof Janowicz, Song Gao, Grant McKenzie, Yingjie Hu, Budhendra Bhaduri |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 7 | 18% |
| Italy | 2 | 5% |
| Netherlands | 2 | 5% |
| United Kingdom | 1 | 3% |
| Canada | 1 | 3% |
| Austria | 1 | 3% |
| Saudi Arabia | 1 | 3% |
| Kuwait | 1 | 3% |
| Egypt | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 19 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 61% |
| Scientists | 14 | 37% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 368 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 368 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 19% |
| Student > Master | 53 | 14% |
| Researcher | 35 | 10% |
| Lecturer | 20 | 5% |
| Student > Bachelor | 19 | 5% |
| Other | 52 | 14% |
| Unknown | 118 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 14% |
| Earth and Planetary Sciences | 46 | 13% |
| Environmental Science | 32 | 9% |
| Social Sciences | 24 | 7% |
| Engineering | 24 | 7% |
| Other | 46 | 13% |
| Unknown | 143 | 39% |