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Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry
Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examin...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579032/ https://www.ncbi.nlm.nih.gov/pubmed/26401459 http://dx.doi.org/10.7717/peerj.1249 |
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author | Xu, Ziyun Pekelis, Leonid |
author_facet | Xu, Ziyun Pekelis, Leonid |
author_sort | Xu, Ziyun |
collection | PubMed |
description | Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends. |
format | Online Article Text |
id | pubmed-4579032 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-45790322015-09-23 Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry Xu, Ziyun Pekelis, Leonid PeerJ Science and Medical Education Over the five decades since its beginnings, Chinese Interpreting Studies (CIS) has evolved into a dynamic field of academic enquiry with more than 3,500 scholars and 4,200 publications. Using quantitative and qualitative analysis, this scientometric study delves deep into CIS citation data to examine some of the noteworthy trends and patterns of behavior in the field: how can the field’s progress be quantified by means of citation analysis? Do its authors tend repeatedly to cite ‘classic’ papers or are they more drawn to their colleagues’ latest research? What different effects does the choice of empirical vs. theoretical research have on the use of citations in the various research brackets? The findings show that the field is steadily moving forward with new papers continuously being cited, although a number of influential papers stand out, having received a stream of citations in all the years examined. CIS scholars also have a tendency to cite much older English than Chinese publications across all document types, and empirical research has the greatest influence on the citation behavior of doctoral scholars, while theoretical studies have the largest impact on that of article authors. The goal of this study is to demonstrate the merits of blending quantitative and qualitative analyses to uncover hidden trends. PeerJ Inc. 2015-09-17 /pmc/articles/PMC4579032/ /pubmed/26401459 http://dx.doi.org/10.7717/peerj.1249 Text en © 2015 Xu and Pekelis 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, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Science and Medical Education Xu, Ziyun Pekelis, Leonid Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title | Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title_full | Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title_fullStr | Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title_full_unstemmed | Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title_short | Chinese Interpreting Studies: a data-driven analysis of a dynamic field of enquiry |
title_sort | chinese interpreting studies: a data-driven analysis of a dynamic field of enquiry |
topic | Science and Medical Education |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4579032/ https://www.ncbi.nlm.nih.gov/pubmed/26401459 http://dx.doi.org/10.7717/peerj.1249 |
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