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X Demographics
Mendeley readers
Title |
Identifying home locations in human mobility data: an open-source R package for comparison and reproducibility
|
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Published by |
Taylor & Francis, March 2021
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DOI | 10.1080/13658816.2021.1887489 |
Authors |
Qingqing Chen, Ate Poorthuis |
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 States | 4 | 29% |
Belgium | 1 | 7% |
Russia | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 11 | 79% |
Scientists | 2 | 14% |
Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 34 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 6 | 18% |
Student > Master | 3 | 9% |
Student > Ph. D. Student | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Lecturer | 1 | 3% |
Other | 6 | 18% |
Unknown | 13 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 5 | 15% |
Environmental Science | 3 | 9% |
Earth and Planetary Sciences | 2 | 6% |
Computer Science | 2 | 6% |
Business, Management and Accounting | 1 | 3% |
Other | 7 | 21% |
Unknown | 14 | 41% |