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A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021
INTRODUCTION: Glucocorticoid-induced osteoporosis (GIOP) is the most common cause of secondary osteoporosis. Although many studies related to GIOP have been published, there was no bibliometric analysis in this field. This study aimed to investigate the research trends on GIOP by using bibliometric...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388768/ https://www.ncbi.nlm.nih.gov/pubmed/35992120 http://dx.doi.org/10.3389/fendo.2022.961471 |
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author | Jiang, Buchan Feng, Chengyao Li, Chenbei Tu, Chao Li, Zhihong |
author_facet | Jiang, Buchan Feng, Chengyao Li, Chenbei Tu, Chao Li, Zhihong |
author_sort | Jiang, Buchan |
collection | PubMed |
description | INTRODUCTION: Glucocorticoid-induced osteoporosis (GIOP) is the most common cause of secondary osteoporosis. Although many studies related to GIOP have been published, there was no bibliometric analysis in this field. This study aimed to investigate the research trends on GIOP by using bibliometric analysis. MATERIALS AND METHODS: All data were collected from the Web of Science Core Collection (WoSCC). All original research articles regarding GIOP from 2012 to 2021 were retrieved. CiteSpace was used to analyze the distribution of countries, institutions, journals, authors, and keywords. We revealed hotspots and trends in the field by drawing co-occurrence keyword maps and identifying burst keywords. RESULTS: From 2012 to 2021, 685 relevant articles were published, with a peak in 2018 in the annual number of publications. China and McMaster University were the leading country and institution in this field with 208 and 12 publications, respectively. Osteoporosis International was the journal with the most studies, while Journal of Bone and Mineral Research was the most cited journal. “Bone mineral density”, “fracture”, “postmenopausal women”, “prevention” and “therapy” were the most high-frequency keywords, while “bone mineral density”, “bisphosphonate” and “metabolism” were the top high-centrality keywords. CONCLUSION: The results from this bibliometric study provided insight into the status and research trends in GIOP of the past decade, which could help researchers quickly determine the current hotspots and frontier trends in this field. |
format | Online Article Text |
id | pubmed-9388768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-93887682022-08-20 A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 Jiang, Buchan Feng, Chengyao Li, Chenbei Tu, Chao Li, Zhihong Front Endocrinol (Lausanne) Endocrinology INTRODUCTION: Glucocorticoid-induced osteoporosis (GIOP) is the most common cause of secondary osteoporosis. Although many studies related to GIOP have been published, there was no bibliometric analysis in this field. This study aimed to investigate the research trends on GIOP by using bibliometric analysis. MATERIALS AND METHODS: All data were collected from the Web of Science Core Collection (WoSCC). All original research articles regarding GIOP from 2012 to 2021 were retrieved. CiteSpace was used to analyze the distribution of countries, institutions, journals, authors, and keywords. We revealed hotspots and trends in the field by drawing co-occurrence keyword maps and identifying burst keywords. RESULTS: From 2012 to 2021, 685 relevant articles were published, with a peak in 2018 in the annual number of publications. China and McMaster University were the leading country and institution in this field with 208 and 12 publications, respectively. Osteoporosis International was the journal with the most studies, while Journal of Bone and Mineral Research was the most cited journal. “Bone mineral density”, “fracture”, “postmenopausal women”, “prevention” and “therapy” were the most high-frequency keywords, while “bone mineral density”, “bisphosphonate” and “metabolism” were the top high-centrality keywords. CONCLUSION: The results from this bibliometric study provided insight into the status and research trends in GIOP of the past decade, which could help researchers quickly determine the current hotspots and frontier trends in this field. Frontiers Media S.A. 2022-08-05 /pmc/articles/PMC9388768/ /pubmed/35992120 http://dx.doi.org/10.3389/fendo.2022.961471 Text en Copyright © 2022 Jiang, Feng, Li, Tu and Li 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 | Endocrinology Jiang, Buchan Feng, Chengyao Li, Chenbei Tu, Chao Li, Zhihong A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title | A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title_full | A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title_fullStr | A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title_full_unstemmed | A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title_short | A bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
title_sort | bibliometric and visualization analysis of glucocorticoid-induced osteoporosis research from 2012 to 2021 |
topic | Endocrinology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388768/ https://www.ncbi.nlm.nih.gov/pubmed/35992120 http://dx.doi.org/10.3389/fendo.2022.961471 |
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