| Title |
Why are education, socioeconomic position and intelligence genetically correlated?
|
|---|---|
| Published in |
bioRxiv, May 2019
|
| DOI | 10.1101/630426 |
| Authors |
Tim T Morris, Neil M Davies, Gibran Hemani, George Davey Smith |
X Demographics
The data shown below were collected from the profiles of 133 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 Kingdom | 17 | 13% |
| United States | 14 | 11% |
| Switzerland | 2 | 2% |
| Spain | 1 | <1% |
| Netherlands | 1 | <1% |
| Norway | 1 | <1% |
| Finland | 1 | <1% |
| Italy | 1 | <1% |
| Sweden | 1 | <1% |
| Other | 5 | 4% |
| Unknown | 89 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 75 | 56% |
| Scientists | 45 | 34% |
| Practitioners (doctors, other healthcare professionals) | 8 | 6% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Unknown | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 30 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 20% |
| Researcher | 5 | 17% |
| Professor | 3 | 10% |
| Student > Doctoral Student | 3 | 10% |
| Other | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 6 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 20% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Psychology | 3 | 10% |
| Medicine and Dentistry | 3 | 10% |
| Economics, Econometrics and Finance | 2 | 7% |
| Other | 6 | 20% |
| Unknown | 6 | 20% |