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Document co-citation analysis to enhance transdisciplinary research
Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752411/ https://www.ncbi.nlm.nih.gov/pubmed/29308433 http://dx.doi.org/10.1126/sciadv.1701130 |
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author | Trujillo, Caleb M. Long, Tammy M. |
author_facet | Trujillo, Caleb M. Long, Tammy M. |
author_sort | Trujillo, Caleb M. |
collection | PubMed |
description | Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines. |
format | Online Article Text |
id | pubmed-5752411 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57524112018-01-05 Document co-citation analysis to enhance transdisciplinary research Trujillo, Caleb M. Long, Tammy M. Sci Adv Research Articles Specialized and emerging fields of research infrequently cross disciplinary boundaries and would benefit from frameworks, methods, and materials informed by other fields. Document co-citation analysis, a method developed by bibliometric research, is demonstrated as a way to help identify key literature for cross-disciplinary ideas. To illustrate the method in a useful context, we mapped peer-recognized scholarship related to systems thinking. In addition, three procedures for validation of co-citation networks are proposed and implemented. This method may be useful for strategically selecting information that can build consilience about ideas and constructs that are relevant across a range of disciplines. American Association for the Advancement of Science 2018-01-03 /pmc/articles/PMC5752411/ /pubmed/29308433 http://dx.doi.org/10.1126/sciadv.1701130 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Trujillo, Caleb M. Long, Tammy M. Document co-citation analysis to enhance transdisciplinary research |
title | Document co-citation analysis to enhance transdisciplinary research |
title_full | Document co-citation analysis to enhance transdisciplinary research |
title_fullStr | Document co-citation analysis to enhance transdisciplinary research |
title_full_unstemmed | Document co-citation analysis to enhance transdisciplinary research |
title_short | Document co-citation analysis to enhance transdisciplinary research |
title_sort | document co-citation analysis to enhance transdisciplinary research |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5752411/ https://www.ncbi.nlm.nih.gov/pubmed/29308433 http://dx.doi.org/10.1126/sciadv.1701130 |
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