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Synthetic Biology: Mapping the Scientific Landscape

Overview of attention for article published in PLOS ONE, April 2012
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Title
Synthetic Biology: Mapping the Scientific Landscape
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034368
Pubmed ID
Authors

Paul Oldham, Stephen Hall, Geoff Burton

Abstract

This article uses data from Thomson Reuters Web of Science to map and analyse the scientific landscape for synthetic biology. The article draws on recent advances in data visualisation and analytics with the aim of informing upcoming international policy debates on the governance of synthetic biology by the Subsidiary Body on Scientific, Technical and Technological Advice (SBSTTA) of the United Nations Convention on Biological Diversity. We use mapping techniques to identify how synthetic biology can best be understood and the range of institutions, researchers and funding agencies involved. Debates under the Convention are likely to focus on a possible moratorium on the field release of synthetic organisms, cells or genomes. Based on the empirical evidence we propose that guidance could be provided to funding agencies to respect the letter and spirit of the Convention on Biological Diversity in making research investments. Building on the recommendations of the United States Presidential Commission for the Study of Bioethical Issues we demonstrate that it is possible to promote independent and transparent monitoring of developments in synthetic biology using modern information tools. In particular, public and policy understanding and engagement with synthetic biology can be enhanced through the use of online interactive tools. As a step forward in this process we make existing data on the scientific literature on synthetic biology available in an online interactive workbook so that researchers, policy makers and civil society can explore the data and draw conclusions for themselves.

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X Demographics

The data shown below were collected from the profiles of 47 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 348 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 3%
United Kingdom 7 2%
Mexico 5 1%
Germany 4 1%
France 3 <1%
Brazil 3 <1%
Australia 2 <1%
Sweden 2 <1%
Belgium 2 <1%
Other 10 3%
Unknown 299 86%

Demographic breakdown

Readers by professional status Count As %
Researcher 85 24%
Student > Ph. D. Student 71 20%
Student > Master 41 12%
Student > Bachelor 39 11%
Other 21 6%
Other 68 20%
Unknown 23 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 141 41%
Biochemistry, Genetics and Molecular Biology 34 10%
Social Sciences 23 7%
Engineering 21 6%
Computer Science 20 6%
Other 74 21%
Unknown 35 10%