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The PLOS ONE Synthetic Biology Collection: Six Years and Counting

Overview of attention for article published in PLOS ONE, August 2012
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Title
The PLOS ONE Synthetic Biology Collection: Six Years and Counting
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043231
Pubmed ID
Authors

Jean Peccoud, Mark Isalan

Abstract

Since it was launched in 2006, PLOS ONE has published over fifty articles illustrating the many facets of the emerging field of synthetic biology. This article reviews these publications by organizing them into broad categories focused on DNA synthesis and assembly techniques, the development of libraries of biological parts, the use of synthetic biology in protein engineering applications, and the engineering of gene regulatory networks and metabolic pathways. Finally, we review articles that describe enabling technologies such as software and modeling, along with new instrumentation. In order to increase the visibility of this body of work, the papers have been assembled into the PLOS ONE Synthetic Biology Collection (www.ploscollections.org/synbio). Many of the innovative features of the PLOS ONE web site will help make this collection a resource that will support a lively dialogue between readers and authors of PLOS ONE synthetic biology papers. The content of the collection will be updated periodically by including relevant articles as they are published by the journal. Thus, we hope that this collection will continue to meet the publishing needs of the synthetic biology community.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
United States 4 3%
Germany 2 2%
Ireland 1 <1%
Brazil 1 <1%
India 1 <1%
Malaysia 1 <1%
Peru 1 <1%
France 1 <1%
Other 2 2%
Unknown 100 85%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 30%
Student > Ph. D. Student 26 22%
Student > Bachelor 12 10%
Student > Master 8 7%
Professor 7 6%
Other 25 21%
Unknown 5 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 60 51%
Biochemistry, Genetics and Molecular Biology 12 10%
Engineering 9 8%
Computer Science 5 4%
Social Sciences 4 3%
Other 19 16%
Unknown 9 8%