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Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis
This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric res...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498340/ https://www.ncbi.nlm.nih.gov/pubmed/34632257 http://dx.doi.org/10.3389/frma.2021.742311 |
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author | Mejia, Cristian Wu, Mengjia Zhang, Yi Kajikawa, Yuya |
author_facet | Mejia, Cristian Wu, Mengjia Zhang, Yi Kajikawa, Yuya |
author_sort | Mejia, Cristian |
collection | PubMed |
description | This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bibliometrics and applied methodologies that exploit various features of the dataset to surface different topic representations. Across them, we observe major trends including discussions on theory, regional publication patterns, databases, and tools. There is a great increase in the application of bibliometrics as science mapping and decision-making tools in management, public health, sustainability, and medical fields. It is also observed that the term bibliometrics has reached an overall generality, while the terms scientometrics and informetrics may be more accurate in representing the core of bibliometric research as understood by the information and library science field. This article contributes by providing multiple snapshots of a field that has grown too quickly beyond the confines of library science. |
format | Online Article Text |
id | pubmed-8498340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84983402021-10-09 Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis Mejia, Cristian Wu, Mengjia Zhang, Yi Kajikawa, Yuya Front Res Metr Anal Research Metrics and Analytics This article surveys topic distributions of the academic literature that employs the terms bibliometrics, scientometrics, and informetrics. This exploration allows informing on the adoption of those terms and publication patterns of the authors acknowledging their work to be part of bibliometric research. We retrieved 20,268 articles related to bibliometrics and applied methodologies that exploit various features of the dataset to surface different topic representations. Across them, we observe major trends including discussions on theory, regional publication patterns, databases, and tools. There is a great increase in the application of bibliometrics as science mapping and decision-making tools in management, public health, sustainability, and medical fields. It is also observed that the term bibliometrics has reached an overall generality, while the terms scientometrics and informetrics may be more accurate in representing the core of bibliometric research as understood by the information and library science field. This article contributes by providing multiple snapshots of a field that has grown too quickly beyond the confines of library science. Frontiers Media S.A. 2021-09-24 /pmc/articles/PMC8498340/ /pubmed/34632257 http://dx.doi.org/10.3389/frma.2021.742311 Text en Copyright © 2021 Mejia, Wu, Zhang and Kajikawa. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Research Metrics and Analytics Mejia, Cristian Wu, Mengjia Zhang, Yi Kajikawa, Yuya Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title | Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title_full | Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title_fullStr | Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title_full_unstemmed | Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title_short | Exploring Topics in Bibliometric Research Through Citation Networks and Semantic Analysis |
title_sort | exploring topics in bibliometric research through citation networks and semantic analysis |
topic | Research Metrics and Analytics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498340/ https://www.ncbi.nlm.nih.gov/pubmed/34632257 http://dx.doi.org/10.3389/frma.2021.742311 |
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