Title |
An Online Bioinformatics Curriculum
|
---|---|
Published in |
PLoS Computational Biology, September 2012
|
DOI | 10.1371/journal.pcbi.1002632 |
Pubmed ID | |
Authors |
David B. Searls |
Abstract |
Online learning initiatives over the past decade have become increasingly comprehensive in their selection of courses and sophisticated in their presentation, culminating in the recent announcement of a number of consortium and startup activities that promise to make a university education on the internet, free of charge, a real possibility. At this pivotal moment it is appropriate to explore the potential for obtaining comprehensive bioinformatics training with currently existing free video resources. This article presents such a bioinformatics curriculum in the form of a virtual course catalog, together with editorial commentary, and an assessment of strengths, weaknesses, and likely future directions for open online learning in this field. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 17 | 13% |
United Kingdom | 6 | 4% |
Canada | 6 | 4% |
Spain | 3 | 2% |
France | 3 | 2% |
Switzerland | 2 | 1% |
India | 2 | 1% |
Brazil | 2 | 1% |
Ecuador | 2 | 1% |
Other | 12 | 9% |
Unknown | 80 | 59% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 66 | 49% |
Members of the public | 65 | 48% |
Practitioners (doctors, other healthcare professionals) | 2 | 1% |
Science communicators (journalists, bloggers, editors) | 1 | <1% |
Unknown | 1 | <1% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 24 | 4% |
Brazil | 10 | 2% |
Spain | 7 | 1% |
Germany | 6 | <1% |
United Kingdom | 6 | <1% |
France | 3 | <1% |
Singapore | 3 | <1% |
Australia | 3 | <1% |
Netherlands | 2 | <1% |
Other | 41 | 7% |
Unknown | 507 | 83% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 149 | 24% |
Student > Ph. D. Student | 148 | 24% |
Student > Master | 69 | 11% |
Student > Bachelor | 46 | 8% |
Professor > Associate Professor | 32 | 5% |
Other | 126 | 21% |
Unknown | 42 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 313 | 51% |
Biochemistry, Genetics and Molecular Biology | 84 | 14% |
Computer Science | 38 | 6% |
Medicine and Dentistry | 35 | 6% |
Social Sciences | 15 | 2% |
Other | 76 | 12% |
Unknown | 51 | 8% |