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| Title |
Travel flow aggregation: Nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level
|
|---|---|
| Published in |
Environment and Planning B: Urban Analytics and City Science, July 2020
|
| DOI | 10.1177/2399808320942779 |
| Authors |
Malcolm Morgan, Robin Lovelace |
Twitter Demographics
The data shown below were collected from the profiles of 31 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 16% |
| United States | 5 | 16% |
| Brazil | 1 | 3% |
| Singapore | 1 | 3% |
| Norway | 1 | 3% |
| France | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 16 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 21 | 68% |
| Scientists | 8 | 26% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 40% |
| Student > Doctoral Student | 1 | 10% |
| Student > Master | 1 | 10% |
| Unknown | 4 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 20% |
| Physics and Astronomy | 1 | 10% |
| Psychology | 1 | 10% |
| Social Sciences | 1 | 10% |
| Environmental Science | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 4 | 40% |