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X Demographics
Mendeley readers
| Title |
Predicting cycling volumes using crowdsourced activity data
|
|---|---|
| Published in |
Environment and Planning B Urban Analytics and City Science, May 2020
|
| DOI | 10.1177/2399808320925822 |
| Authors |
Mark Livingston, David McArthur, Jinhyun Hong, Kirstie English |
X Demographics
The data shown below were collected from the profiles of 17 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 | 9 | 53% |
| United States | 2 | 12% |
| Canada | 2 | 12% |
| Unknown | 4 | 24% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 65% |
| Scientists | 5 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 11 | 17% |
| Student > Master | 8 | 12% |
| Other | 3 | 5% |
| Lecturer | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 23 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 11 | 17% |
| Social Sciences | 10 | 15% |
| Environmental Science | 6 | 9% |
| Computer Science | 5 | 8% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 23 | 35% |