Title |
Crowdsourcing genomic analyses of ash and ash dieback – power to the people
|
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Published in |
Giga Science, February 2013
|
DOI | 10.1186/2047-217x-2-2 |
Pubmed ID | |
Authors |
Dan MacLean, Kentaro Yoshida, Anne Edwards, Lisa Crossman, Bernardo Clavijo, Matt Clark, David Swarbreck, Matthew Bashton, Patrick Chapman, Mark Gijzen, Mario Caccamo, Allan Downie, Sophien Kamoun, Diane GO Saunders |
Abstract |
Ash dieback is a devastating fungal disease of ash trees that has swept across Europe and recently reached the UK. This emergent pathogen has received little study in the past and its effect threatens to overwhelm the ash population. In response to this we have produced some initial genomics datasets and taken the unusual step of releasing them to the scientific community for analysis without first performing our own. In this manner we hope to 'crowdsource' analyses and bring the expertise of the community to bear on this problem as quickly as possible. Our data has been released through our website at oadb.tsl.ac.uk and a public GitHub repository. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 11 | 28% |
United States | 6 | 15% |
Canada | 2 | 5% |
Hong Kong | 2 | 5% |
Switzerland | 2 | 5% |
New Zealand | 1 | 3% |
Germany | 1 | 3% |
Belgium | 1 | 3% |
China | 1 | 3% |
Other | 0 | 0% |
Unknown | 13 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 25 | 63% |
Scientists | 10 | 25% |
Science communicators (journalists, bloggers, editors) | 5 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 8% |
Hong Kong | 2 | 3% |
Australia | 1 | 1% |
Netherlands | 1 | 1% |
United Kingdom | 1 | 1% |
Sweden | 1 | 1% |
Unknown | 64 | 84% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 17 | 22% |
Student > Master | 10 | 13% |
Student > Ph. D. Student | 9 | 12% |
Other | 8 | 11% |
Professor > Associate Professor | 7 | 9% |
Other | 18 | 24% |
Unknown | 7 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 35 | 46% |
Computer Science | 9 | 12% |
Environmental Science | 4 | 5% |
Biochemistry, Genetics and Molecular Biology | 4 | 5% |
Social Sciences | 4 | 5% |
Other | 10 | 13% |
Unknown | 10 | 13% |