Title |
Methods for visual mining of genomic and proteomic data atlases
|
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Published in |
BMC Bioinformatics, April 2012
|
DOI | 10.1186/1471-2105-13-58 |
Pubmed ID | |
Authors |
John Boyle, Richard Kreisberg, Ryan Bressler, Sarah Killcoyne |
Abstract |
As the volume, complexity and diversity of the information that scientists work with on a daily basis continues to rise, so too does the requirement for new analytic software. The analytic software must solve the dichotomy that exists between the need to allow for a high level of scientific reasoning, and the requirement to have an intuitive and easy to use tool which does not require specialist, and often arduous, training to use. Information visualization provides a solution to this problem, as it allows for direct manipulation and interaction with diverse and complex data. The challenge addressing bioinformatics researches is how to apply this knowledge to data sets that are continually growing in a field that is rapidly changing. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 30% |
Spain | 1 | 10% |
United Kingdom | 1 | 10% |
Brazil | 1 | 10% |
Unknown | 4 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Scientists | 3 | 30% |
Practitioners (doctors, other healthcare professionals) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 6% |
South Africa | 3 | 4% |
United Kingdom | 2 | 2% |
Australia | 1 | 1% |
Brazil | 1 | 1% |
Finland | 1 | 1% |
Canada | 1 | 1% |
Germany | 1 | 1% |
Russia | 1 | 1% |
Other | 3 | 4% |
Unknown | 66 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 30 | 35% |
Student > Ph. D. Student | 15 | 18% |
Student > Master | 13 | 15% |
Other | 6 | 7% |
Student > Bachelor | 5 | 6% |
Other | 11 | 13% |
Unknown | 5 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 34 | 40% |
Computer Science | 20 | 24% |
Biochemistry, Genetics and Molecular Biology | 9 | 11% |
Medicine and Dentistry | 4 | 5% |
Business, Management and Accounting | 2 | 2% |
Other | 10 | 12% |
Unknown | 6 | 7% |