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X Demographics
Mendeley readers
| Title |
A method to derive small area estimates of linked commuting trips by mode from open source LODES and ACS data
|
|---|---|
| Published in |
Environment and Planning B Urban Analytics and City Science, September 2022
|
| DOI | 10.1177/23998083221129614 |
| Authors |
Kevin Credit, Zander Arnao |
X Demographics
The data shown below were collected from the profiles of 15 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 | 5 | 33% |
| Ireland | 4 | 27% |
| United Kingdom | 2 | 13% |
| Unknown | 4 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 9 | 60% |
| Members of the public | 6 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 14% |
| Other | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Master | 1 | 14% |
| Other | 1 | 14% |
| Unknown | 1 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 29% |
| Unspecified | 1 | 14% |
| Social Sciences | 1 | 14% |
| Economics, Econometrics and Finance | 1 | 14% |
| Unknown | 2 | 29% |