Title |
Web Apollo: a web-based genomic annotation editing platform
|
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Published in |
Genome Biology, August 2013
|
DOI | 10.1186/gb-2013-14-8-r93 |
Pubmed ID | |
Authors |
Eduardo Lee, Gregg A Helt, Justin T Reese, Monica C Munoz-Torres, Chris P Childers, Robert M Buels, Lincoln Stein, Ian H Holmes, Christine G Elsik, Suzanna E Lewis |
Abstract |
Web Apollo is the first instantaneous, collaborative genomic annotation editor available on the web. One of the natural consequences following from current advances in sequencing technology is that there are more and more researchers sequencing new genomes. These researchers require tools to describe the functional features of their newly sequenced genomes. With Web Apollo researchers can use any of the common browsers (for example, Chrome or Firefox) to jointly analyze and precisely describe the features of a genome in real time, whether they are in the same room or working from opposite sides of the world. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 18% |
United Kingdom | 2 | 12% |
Taiwan | 1 | 6% |
Australia | 1 | 6% |
Unknown | 10 | 59% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 10 | 59% |
Scientists | 5 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
Germany | 3 | 1% |
France | 2 | <1% |
Netherlands | 1 | <1% |
Switzerland | 1 | <1% |
Ireland | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Norway | 1 | <1% |
Other | 4 | 1% |
Unknown | 259 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 68 | 24% |
Student > Ph. D. Student | 61 | 22% |
Student > Master | 37 | 13% |
Student > Bachelor | 24 | 9% |
Professor > Associate Professor | 13 | 5% |
Other | 50 | 18% |
Unknown | 29 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 146 | 52% |
Biochemistry, Genetics and Molecular Biology | 62 | 22% |
Computer Science | 13 | 5% |
Engineering | 6 | 2% |
Environmental Science | 3 | 1% |
Other | 19 | 7% |
Unknown | 33 | 12% |