| Title |
Dominance, Politics, and Physiology: Voters' Testosterone Changes on the Night of the 2008 United States Presidential Election
|
|---|---|
| Published in |
PLOS ONE, October 2009
|
| DOI | 10.1371/journal.pone.0007543 |
| Pubmed ID | |
| Authors |
Steven J. Stanton, Jacinta C. Beehner, Ekjyot K. Saini, Cynthia M. Kuhn, Kevin S. LaBar |
| Abstract |
Political elections are dominance competitions. When men win a dominance competition, their testosterone levels rise or remain stable to resist a circadian decline; and when they lose, their testosterone levels fall. However, it is unknown whether this pattern of testosterone change extends beyond interpersonal competitions to the vicarious experience of winning or losing in the context of political elections. Women's testosterone responses to dominance competition outcomes are understudied, and to date, a clear pattern of testosterone changes in response to winning and losing dominance competitions has not emerged. |
X Demographics
The data shown below were collected from the profiles of 71 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 | 10 | 14% |
| Turkey | 3 | 4% |
| Slovenia | 2 | 3% |
| Spain | 2 | 3% |
| United Kingdom | 1 | 1% |
| Mexico | 1 | 1% |
| Denmark | 1 | 1% |
| Sweden | 1 | 1% |
| Romania | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 49 | 69% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 65 | 92% |
| Practitioners (doctors, other healthcare professionals) | 3 | 4% |
| Scientists | 2 | 3% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 6% |
| Netherlands | 3 | 2% |
| United Kingdom | 2 | 2% |
| Italy | 1 | <1% |
| Portugal | 1 | <1% |
| Germany | 1 | <1% |
| Romania | 1 | <1% |
| New Zealand | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 108 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 24% |
| Researcher | 20 | 16% |
| Student > Master | 17 | 13% |
| Other | 9 | 7% |
| Student > Bachelor | 8 | 6% |
| Other | 30 | 23% |
| Unknown | 13 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 41 | 32% |
| Social Sciences | 24 | 19% |
| Agricultural and Biological Sciences | 18 | 14% |
| Medicine and Dentistry | 7 | 5% |
| Computer Science | 3 | 2% |
| Other | 16 | 13% |
| Unknown | 19 | 15% |