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Rise and Demise of Bioinformatics? Promise and Progress

Overview of attention for article published in PLoS Computational Biology, April 2012
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416 Mendeley
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50 CiteULike
Title
Rise and Demise of Bioinformatics? Promise and Progress
Published in
PLoS Computational Biology, April 2012
DOI 10.1371/journal.pcbi.1002487
Pubmed ID
Authors

Christos A. Ouzounis

Abstract

The field of bioinformatics and computational biology has gone through a number of transformations during the past 15 years, establishing itself as a key component of new biology. This spectacular growth has been challenged by a number of disruptive changes in science and technology. Despite the apparent fatigue of the linguistic use of the term itself, bioinformatics has grown perhaps to a point beyond recognition. We explore both historical aspects and future trends and argue that as the field expands, key questions remain unanswered and acquire new meaning while at the same time the range of applications is widening to cover an ever increasing number of biological disciplines. These trends appear to be pointing to a redefinition of certain objectives, milestones, and possibly the field itself.

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X Demographics

The data shown below were collected from the profiles of 81 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 416 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 23 6%
Brazil 8 2%
United Kingdom 8 2%
Germany 6 1%
France 5 1%
Canada 5 1%
Spain 3 <1%
Netherlands 2 <1%
Norway 2 <1%
Other 22 5%
Unknown 332 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 113 27%
Student > Ph. D. Student 81 19%
Student > Master 48 12%
Student > Bachelor 47 11%
Other 22 5%
Other 87 21%
Unknown 18 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 199 48%
Biochemistry, Genetics and Molecular Biology 63 15%
Computer Science 38 9%
Medicine and Dentistry 20 5%
Social Sciences 11 3%
Other 59 14%
Unknown 26 6%