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Global Multi-Level Analysis of the ‘Scientific Food Web'
We introduce a network-based index analyzing excess scientific production and consumption to perform a comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities. Compared to measures of scientific production and consumption such a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558694/ https://www.ncbi.nlm.nih.gov/pubmed/23378902 http://dx.doi.org/10.1038/srep01167 |
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author | Mazloumian, Amin Helbing, Dirk Lozano, Sergi Light, Robert P. Börner, Katy |
author_facet | Mazloumian, Amin Helbing, Dirk Lozano, Sergi Light, Robert P. Börner, Katy |
author_sort | Mazloumian, Amin |
collection | PubMed |
description | We introduce a network-based index analyzing excess scientific production and consumption to perform a comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities. Compared to measures of scientific production and consumption such as number of publications or citation rates, our network-based citation analysis offers a more differentiated picture of the ‘ecosystem of science’. Quantifying knowledge flows between 2000 and 2009, we identify global sources and sinks of knowledge production. Our knowledge flow index reveals, where ideas are born and consumed, thereby defining a global ‘scientific food web’. While Asia is quickly catching up in terms of publications and citation rates, we find that its dependence on knowledge consumption has further increased. |
format | Online Article Text |
id | pubmed-3558694 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35586942013-02-01 Global Multi-Level Analysis of the ‘Scientific Food Web' Mazloumian, Amin Helbing, Dirk Lozano, Sergi Light, Robert P. Börner, Katy Sci Rep Article We introduce a network-based index analyzing excess scientific production and consumption to perform a comprehensive global analysis of scholarly knowledge production and diffusion on the level of continents, countries, and cities. Compared to measures of scientific production and consumption such as number of publications or citation rates, our network-based citation analysis offers a more differentiated picture of the ‘ecosystem of science’. Quantifying knowledge flows between 2000 and 2009, we identify global sources and sinks of knowledge production. Our knowledge flow index reveals, where ideas are born and consumed, thereby defining a global ‘scientific food web’. While Asia is quickly catching up in terms of publications and citation rates, we find that its dependence on knowledge consumption has further increased. Nature Publishing Group 2013-01-30 /pmc/articles/PMC3558694/ /pubmed/23378902 http://dx.doi.org/10.1038/srep01167 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Article Mazloumian, Amin Helbing, Dirk Lozano, Sergi Light, Robert P. Börner, Katy Global Multi-Level Analysis of the ‘Scientific Food Web' |
title | Global Multi-Level Analysis of the ‘Scientific Food Web' |
title_full | Global Multi-Level Analysis of the ‘Scientific Food Web' |
title_fullStr | Global Multi-Level Analysis of the ‘Scientific Food Web' |
title_full_unstemmed | Global Multi-Level Analysis of the ‘Scientific Food Web' |
title_short | Global Multi-Level Analysis of the ‘Scientific Food Web' |
title_sort | global multi-level analysis of the ‘scientific food web' |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3558694/ https://www.ncbi.nlm.nih.gov/pubmed/23378902 http://dx.doi.org/10.1038/srep01167 |
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