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X Demographics
Mendeley readers
| Title |
COVID-19 as a Research Dynamic Transformer: Emerging Cross-Disciplinary and National Characteristics
|
|---|---|
| Published in |
Frontiers in Big Data, July 2021
|
| DOI | 10.3389/fdata.2021.631073 |
| Pubmed ID | |
| Authors |
Ryosuke L. Ohniwa, Joji Kijima, Mizuho Fukushige, Osamu Ohneda |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Researcher | 1 | 13% |
| Professor | 1 | 13% |
| Unknown | 4 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 2 | 25% |
| Biochemistry, Genetics and Molecular Biology | 1 | 13% |
| Medicine and Dentistry | 1 | 13% |
| Unknown | 4 | 50% |