| Title |
VEViD: Vision Enhancement via Virtual diffraction and coherent Detection
|
|---|---|
| Published in |
eLight, November 2022
|
| DOI | 10.1186/s43593-022-00034-y |
| Authors |
Bahram Jalali, Callen MacPhee |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 2 | 18% |
| Ukraine | 1 | 9% |
| Singapore | 1 | 9% |
| Unknown | 7 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Science communicators (journalists, bloggers, editors) | 3 | 27% |
| Scientists | 1 | 9% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 2 | 17% |
| Researcher | 2 | 17% |
| Professor | 1 | 8% |
| Student > Doctoral Student | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 4 | 33% |
| Computer Science | 1 | 8% |
| Unknown | 7 | 58% |