Socio-Life Science and the COVID-19 Outbreak
Springer Singapore
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Timeline
X Demographics
Mendeley readers
| Chapter title |
Education Policy and Behavioral Change in Science Learning—An Empirical Analysis Based on Japanese Data
|
|---|---|
| Book title |
Socio-Life Science and the COVID-19 Outbreak
|
| Published by |
Springer, Singapore, December 2021
|
| DOI | 10.1007/978-981-16-5727-6_14 |
| Book ISBNs |
978-9-81-165726-9, 978-9-81-165727-6
|
| Authors |
Nishimura, Kazuo, Yagi, Tadashi, Miyamoto, Dai |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 8 | 67% |
| Lecturer > Senior Lecturer | 1 | 8% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 8 | 67% |
| Computer Science | 1 | 8% |
| Unknown | 3 | 25% |