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Tracking the emergence of synthetic biology

Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric d...

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Detalles Bibliográficos
Autores principales: Shapira, Philip, Kwon, Seokbeom, Youtie, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533824/
https://www.ncbi.nlm.nih.gov/pubmed/28804177
http://dx.doi.org/10.1007/s11192-017-2452-5
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author Shapira, Philip
Kwon, Seokbeom
Youtie, Jan
author_facet Shapira, Philip
Kwon, Seokbeom
Youtie, Jan
author_sort Shapira, Philip
collection PubMed
description Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work.
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spelling pubmed-55338242017-08-11 Tracking the emergence of synthetic biology Shapira, Philip Kwon, Seokbeom Youtie, Jan Scientometrics Article Synthetic biology is an emerging domain that combines biological and engineering concepts and which has seen rapid growth in research, innovation, and policy interest in recent years. This paper contributes to efforts to delineate this emerging domain by presenting a newly constructed bibliometric definition of synthetic biology. Our approach is dimensioned from a core set of papers in synthetic biology, using procedures to obtain benchmark synthetic biology publication records, extract keywords from these benchmark records, and refine the keywords, supplemented with articles published in dedicated synthetic biology journals. We compare our search strategy with other recent bibliometric approaches to define synthetic biology, using a common source of publication data for the period from 2000 to 2015. The paper details the rapid growth and international spread of research in synthetic biology in recent years, demonstrates that diverse research disciplines are contributing to the multidisciplinary development of synthetic biology research, and visualizes this by profiling synthetic biology research on the map of science. We further show the roles of a relatively concentrated set of research sponsors in funding the growth and trajectories of synthetic biology. In addition to discussing these analyses, the paper notes limitations and suggests lines for further work. Springer Netherlands 2017-07-01 2017 /pmc/articles/PMC5533824/ /pubmed/28804177 http://dx.doi.org/10.1007/s11192-017-2452-5 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
Shapira, Philip
Kwon, Seokbeom
Youtie, Jan
Tracking the emergence of synthetic biology
title Tracking the emergence of synthetic biology
title_full Tracking the emergence of synthetic biology
title_fullStr Tracking the emergence of synthetic biology
title_full_unstemmed Tracking the emergence of synthetic biology
title_short Tracking the emergence of synthetic biology
title_sort tracking the emergence of synthetic biology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5533824/
https://www.ncbi.nlm.nih.gov/pubmed/28804177
http://dx.doi.org/10.1007/s11192-017-2452-5
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