| Title |
Can education be personalised using pupils’ genetic data?
|
|---|---|
| Published in |
bioRxiv, May 2019
|
| DOI | 10.1101/645218 |
| Authors |
Tim T Morris, Neil M Davies, George Davey Smith |
X Demographics
The data shown below were collected from the profiles of 138 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 | 21 | 15% |
| United Kingdom | 20 | 14% |
| Netherlands | 3 | 2% |
| Denmark | 3 | 2% |
| Switzerland | 2 | 1% |
| France | 2 | 1% |
| Norway | 2 | 1% |
| Russia | 2 | 1% |
| Finland | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 71 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 86 | 62% |
| Scientists | 40 | 29% |
| Practitioners (doctors, other healthcare professionals) | 9 | 7% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 19% |
| Student > Ph. D. Student | 3 | 8% |
| Student > Doctoral Student | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 17 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 4 | 11% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Neuroscience | 3 | 8% |
| Psychology | 3 | 8% |
| Agricultural and Biological Sciences | 2 | 6% |
| Other | 3 | 8% |
| Unknown | 18 | 50% |