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An Online Bioinformatics Curriculum

Overview of attention for article published in PLoS Computational Biology, September 2012
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9 blogs
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136 X users
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1 weibo user
facebook
18 Facebook pages
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16 Google+ users
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2 Redditors

Citations

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Readers on

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602 Mendeley
citeulike
39 CiteULike
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

X Demographics

The data shown below were collected from the profiles of 136 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 602 Mendeley readers of this research output. Click here to see the associated Mendeley record.

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 497 83%

Demographic breakdown

Readers by professional status Count As %
Researcher 148 25%
Student > Ph. D. Student 142 24%
Student > Master 69 11%
Student > Bachelor 46 8%
Professor > Associate Professor 32 5%
Other 126 21%
Unknown 39 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 307 51%
Biochemistry, Genetics and Molecular Biology 84 14%
Computer Science 38 6%
Medicine and Dentistry 35 6%
Social Sciences 15 2%
Other 75 12%
Unknown 48 8%