| Title |
Predictive Markers of Honey Bee Colony Collapse
|
|---|---|
| Published in |
PLOS ONE, February 2012
|
| DOI | 10.1371/journal.pone.0032151 |
| Pubmed ID | |
| Authors |
Benjamin Dainat, Jay D. Evans, Yan Ping Chen, Laurent Gauthier, Peter Neumann |
X Demographics
The data shown below were collected from the profiles of 59 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 | 11 | 19% |
| France | 6 | 10% |
| Ireland | 2 | 3% |
| Côte d'Ivoire | 1 | 2% |
| Canada | 1 | 2% |
| Greece | 1 | 2% |
| Chile | 1 | 2% |
| Malaysia | 1 | 2% |
| United Kingdom | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 33 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 55 | 93% |
| Practitioners (doctors, other healthcare professionals) | 3 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 2% |
| France | 2 | <1% |
| Mexico | 2 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| United Kingdom | 1 | <1% |
| Colombia | 1 | <1% |
| New Zealand | 1 | <1% |
| Italy | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 396 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 73 | 18% |
| Researcher | 70 | 17% |
| Student > Bachelor | 61 | 15% |
| Student > Master | 56 | 13% |
| Student > Doctoral Student | 24 | 6% |
| Other | 74 | 18% |
| Unknown | 59 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 211 | 51% |
| Environmental Science | 35 | 8% |
| Biochemistry, Genetics and Molecular Biology | 27 | 6% |
| Veterinary Science and Veterinary Medicine | 20 | 5% |
| Medicine and Dentistry | 9 | 2% |
| Other | 40 | 10% |
| Unknown | 75 | 18% |