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From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013
Systems biology is a discipline that studies biological systems from a holistic and interdisciplinary perspective. It brings together biologists, mathematicians, computer scientists, physicists, and engineers, so it has both biology-oriented components and systems-oriented components. We applied sev...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059489/ https://www.ncbi.nlm.nih.gov/pubmed/30044828 http://dx.doi.org/10.1371/journal.pone.0200929 |
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author | Zou, Yawen Laubichler, Manfred D. |
author_facet | Zou, Yawen Laubichler, Manfred D. |
author_sort | Zou, Yawen |
collection | PubMed |
description | Systems biology is a discipline that studies biological systems from a holistic and interdisciplinary perspective. It brings together biologists, mathematicians, computer scientists, physicists, and engineers, so it has both biology-oriented components and systems-oriented components. We applied several computational tools to analyze the bibliographic information of published articles in systems biology to answer the question: Did the research topics of systems biology become more biology-oriented or more systems-oriented from 1992 to 2013? We analyzed the metadata of 9923 articles on systems biology from the Web of Science database. We identified the most highly cited 330 references using computational tools and through close reading we divided them into nine categories of research types in systems biology. Interestingly, we found that articles in one category, namely, systems biology’s applications in medical research, increased tremendously. This finding was corroborated by computational analysis of the abstracts, which also suggested that the percentages of topics on vaccines, diseases, drugs and cancers increased over time. In addition, we analyzed the institutional backgrounds of the corresponding authors of those 9923 articles and identified the most highly cited 330 authors over time. We found that before the mid-1990s, systems-oriented scientists had made the most referenced contributions. However, in recent years, researchers from biology-oriented institutions not only represented a huge percentage of the total number of researchers, but also had made the most referenced contributions. Notably, interdisciplinary institutions only produced a small percentage of researchers, but had made disproportionate contributions to this field. |
format | Online Article Text |
id | pubmed-6059489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60594892018-08-09 From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 Zou, Yawen Laubichler, Manfred D. PLoS One Research Article Systems biology is a discipline that studies biological systems from a holistic and interdisciplinary perspective. It brings together biologists, mathematicians, computer scientists, physicists, and engineers, so it has both biology-oriented components and systems-oriented components. We applied several computational tools to analyze the bibliographic information of published articles in systems biology to answer the question: Did the research topics of systems biology become more biology-oriented or more systems-oriented from 1992 to 2013? We analyzed the metadata of 9923 articles on systems biology from the Web of Science database. We identified the most highly cited 330 references using computational tools and through close reading we divided them into nine categories of research types in systems biology. Interestingly, we found that articles in one category, namely, systems biology’s applications in medical research, increased tremendously. This finding was corroborated by computational analysis of the abstracts, which also suggested that the percentages of topics on vaccines, diseases, drugs and cancers increased over time. In addition, we analyzed the institutional backgrounds of the corresponding authors of those 9923 articles and identified the most highly cited 330 authors over time. We found that before the mid-1990s, systems-oriented scientists had made the most referenced contributions. However, in recent years, researchers from biology-oriented institutions not only represented a huge percentage of the total number of researchers, but also had made the most referenced contributions. Notably, interdisciplinary institutions only produced a small percentage of researchers, but had made disproportionate contributions to this field. Public Library of Science 2018-07-25 /pmc/articles/PMC6059489/ /pubmed/30044828 http://dx.doi.org/10.1371/journal.pone.0200929 Text en © 2018 Zou, Laubichler http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zou, Yawen Laubichler, Manfred D. From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title | From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title_full | From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title_fullStr | From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title_full_unstemmed | From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title_short | From systems to biology: A computational analysis of the research articles on systems biology from 1992 to 2013 |
title_sort | from systems to biology: a computational analysis of the research articles on systems biology from 1992 to 2013 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059489/ https://www.ncbi.nlm.nih.gov/pubmed/30044828 http://dx.doi.org/10.1371/journal.pone.0200929 |
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