Title |
|
---|---|
Published in |
Genome Biology (Online Edition), January 2004
|
DOI | 10.1186/gb-2004-5-10-r80 |
Pubmed ID | |
Authors |
Robert C Gentleman, Vincent J Carey, Douglas M Bates, Ben Bolstad, Marcel Dettling, Sandrine Dudoit, Byron Ellis, Laurent Gautier, Yongchao Ge, Jeff Gentry, Kurt Hornik, Torsten Hothorn, Wolfgang Huber, Stefano Iacus, Rafael Irizarry, Friedrich Leisch, Cheng Li, Martin Maechler, Anthony J Rossini, Gunther Sawitzki, Colin Smith, Gordon Smyth, Luke Tierney, Jean YH Yang, Jianhua Zhang |
Abstract |
The Bioconductor project is an initiative for the collaborative creation of extensible software for computational biology and bioinformatics. The goals of the project include: fostering collaborative development and widespread use of innovative software, reducing barriers to entry into interdisciplinary scientific research, and promoting the achievement of remote reproducibility of research results. We describe details of our aims and methods, identify current challenges, compare Bioconductor to other open bioinformatics projects, and provide working examples. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 108 | 2% |
United Kingdom | 44 | <1% |
Germany | 37 | <1% |
Spain | 21 | <1% |
Brazil | 18 | <1% |
France | 17 | <1% |
Netherlands | 14 | <1% |
India | 13 | <1% |
Denmark | 11 | <1% |
Other | 127 | 3% |
Unknown | 4114 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 1139 | 25% |
Researcher | 1034 | 23% |
Student > Master | 560 | 12% |
Student > Bachelor | 315 | 7% |
Student > Doctoral Student | 259 | 6% |
Other | 780 | 17% |
Unknown | 437 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 1931 | 43% |
Biochemistry, Genetics and Molecular Biology | 782 | 17% |
Computer Science | 307 | 7% |
Medicine and Dentistry | 295 | 7% |
Engineering | 102 | 2% |
Other | 532 | 12% |
Unknown | 575 | 13% |