The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Human behavior in the time of COVID-19: Learning from big data
|
|---|---|
| Published in |
Frontiers in Big Data, April 2023
|
| DOI | 10.3389/fdata.2023.1099182 |
| Pubmed ID | |
| Authors |
Hanjia Lyu, Arsal Imtiaz, Yufei Zhao, Jiebo Luo |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 18% |
| Student > Ph. D. Student | 2 | 18% |
| Researcher | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 5 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 27% |
| Computer Science | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 6 | 55% |