| Title |
Minimal phenotyping yields GWAS hits of reduced specificity for major depression
|
|---|---|
| Published in |
bioRxiv, October 2018
|
| DOI | 10.1101/440735 |
| Authors |
Na Cai, Joana A. Revez, Mark J Adams, Till F. M. Andlauer, Gerome Breen, Edna M. Byrne, Toni-Kim Clarke, Andreas J. Forstner, Hans J. Grabe, Steven P. Hamilton, Douglas F. Levinson, Cathryn M. Lewis, Glyn Lewis, Nicholas G. Martin, Yuri Milaneschi, Ole Mors, Bertram Müller-Myhsok, Brenda W. J. H. Pennix, Roy H. Perlis, Giorgio Pistis, James B. Potash, Martin Preisig, Jianxin Shi, Jordan W. Smoller, Fabien Streit, Henning Tiemeier, Rudolf Uher, Sandra Van der Auwera, Alexander Viktorin, Myrna M. Weissman, MDD Working Group of the Psychiatric Genomics Consortium, Kenneth S. Kendler, Jonathan Flint |
X Demographics
The data shown below were collected from the profiles of 131 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 | 25 | 19% |
| United Kingdom | 14 | 11% |
| Germany | 3 | 2% |
| Netherlands | 2 | 2% |
| Israel | 2 | 2% |
| Italy | 2 | 2% |
| Canada | 2 | 2% |
| Belgium | 1 | <1% |
| Denmark | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 75 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 70 | 53% |
| Members of the public | 56 | 43% |
| Practitioners (doctors, other healthcare professionals) | 5 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 20% |
| Researcher | 8 | 16% |
| Student > Bachelor | 5 | 10% |
| Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 9 | 18% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 24% |
| Psychology | 5 | 10% |
| Medicine and Dentistry | 5 | 10% |
| Economics, Econometrics and Finance | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 7 | 14% |
| Unknown | 14 | 29% |