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X Demographics
Mendeley readers
| Title |
Monitoring streets through tweets: Using user-generated geographic information to predict gentrification and displacement
|
|---|---|
| Published in |
Environment and Planning B Urban Analytics and City Science, June 2021
|
| DOI | 10.1177/23998083211025309 |
| Authors |
Karen Chapple, Ate Poorthuis, Matthew Zook, Eva Phillips |
X Demographics
The data shown below were collected from the profiles of 14 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 Kingdom | 2 | 14% |
| Canada | 1 | 7% |
| Korea, Republic of | 1 | 7% |
| Australia | 1 | 7% |
| Italy | 1 | 7% |
| Belgium | 1 | 7% |
| United States | 1 | 7% |
| Germany | 1 | 7% |
| Finland | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 57% |
| Members of the public | 6 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 30% |
| Student > Master | 5 | 15% |
| Researcher | 3 | 9% |
| Unspecified | 2 | 6% |
| Student > Doctoral Student | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 9 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 6 | 18% |
| Environmental Science | 4 | 12% |
| Unspecified | 2 | 6% |
| Computer Science | 2 | 6% |
| Engineering | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 15 | 45% |