| Title |
A New Online Computational Biology Curriculum
|
|---|---|
| Published in |
PLoS Computational Biology, June 2014
|
| DOI | 10.1371/journal.pcbi.1003662 |
| Pubmed ID | |
| Authors |
David B. Searls |
| Abstract |
A recent proliferation of Massive Open Online Courses (MOOCs) and other web-based educational resources has greatly increased the potential for effective self-study in many fields. This article introduces a catalog of several hundred free video courses of potential interest to those wishing to expand their knowledge of bioinformatics and computational biology. The courses are organized into eleven subject areas modeled on university departments and are accompanied by commentary and career advice. |
X Demographics
The data shown below were collected from the profiles of 142 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 41 | 29% |
| United Kingdom | 10 | 7% |
| India | 4 | 3% |
| Canada | 4 | 3% |
| France | 4 | 3% |
| Netherlands | 4 | 3% |
| Australia | 3 | 2% |
| Spain | 3 | 2% |
| Portugal | 2 | 1% |
| Other | 17 | 12% |
| Unknown | 50 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 68 | 48% |
| Scientists | 67 | 47% |
| Practitioners (doctors, other healthcare professionals) | 4 | 3% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 232 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 3% |
| Brazil | 5 | 2% |
| Spain | 4 | 2% |
| United Kingdom | 4 | 2% |
| Sweden | 3 | 1% |
| Colombia | 2 | <1% |
| Netherlands | 2 | <1% |
| Germany | 2 | <1% |
| Australia | 1 | <1% |
| Other | 12 | 5% |
| Unknown | 191 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 28% |
| Researcher | 60 | 26% |
| Other | 18 | 8% |
| Student > Master | 17 | 7% |
| Student > Bachelor | 16 | 7% |
| Other | 40 | 17% |
| Unknown | 17 | 7% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 110 | 47% |
| Biochemistry, Genetics and Molecular Biology | 32 | 14% |
| Computer Science | 15 | 6% |
| Social Sciences | 11 | 5% |
| Medicine and Dentistry | 11 | 5% |
| Other | 32 | 14% |
| Unknown | 21 | 9% |