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Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study

OBJECTIVES: This work aims to comprehensively characterize hotspots and frontier landscapes concerning diabetes-specific distress from 2000 to 2018. MATERIALS AND METHODS: Firstly, diabetes-specific distress-related literature was retrieved and downloaded from the Web of Science Core Collection (WoS...

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Detalles Bibliográficos
Autores principales: Li, Dan, Dai, Fu-Min, Xu, Juan-Juan, Jiang, Meng-Die
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985931/
https://www.ncbi.nlm.nih.gov/pubmed/32016121
http://dx.doi.org/10.1155/2020/8691451
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author Li, Dan
Dai, Fu-Min
Xu, Juan-Juan
Jiang, Meng-Die
author_facet Li, Dan
Dai, Fu-Min
Xu, Juan-Juan
Jiang, Meng-Die
author_sort Li, Dan
collection PubMed
description OBJECTIVES: This work aims to comprehensively characterize hotspots and frontier landscapes concerning diabetes-specific distress from 2000 to 2018. MATERIALS AND METHODS: Firstly, diabetes-specific distress-related literature was retrieved and downloaded from the Web of Science Core Collection (WoSCC). Secondly, WoSCC self-contained toolkits and GraphPad Prism7 were conducted to analyze general characteristics, including literature products, countries, institutes, authors, and journal resource. Finally, CiteSpace V Toolkits was put forward to implement advanced analysis, consisting of keyword-term frequency and co-occurrence, references-cited frequency and co-occurrence, and burst detection for keyword terms and references cited, which uncovers the hotspots and frontiers of diabetes-specific distress. RESULTS: After preprocessing, our study included a total of 1051 papers concerning diabetes-specific distress. Publication outputs increased smoothly year by year. Compared with other journals, diabetic medicine delivered the largest number of documents. The United States occupied the leading positions, and the most productive institution was the University of California System in terms of literature products. Fisher L. has the highest references-cited frequency. Prevalence of diabetes-specific distress, diabetes-specific distress and glycemic control, diabetes-specific distress and depression comorbidity, and diabetes-specific distress and risk factors were the research hotspots, whereas the measure of diabetes-specific distress and latent and serious/severe diabetes-specific distress was the research frontiers. CONCLUSIONS: Overall, our study may inspire researchers to show great interest in diabetes-specific distress in the next few years.
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spelling pubmed-69859312020-02-03 Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study Li, Dan Dai, Fu-Min Xu, Juan-Juan Jiang, Meng-Die Biomed Res Int Research Article OBJECTIVES: This work aims to comprehensively characterize hotspots and frontier landscapes concerning diabetes-specific distress from 2000 to 2018. MATERIALS AND METHODS: Firstly, diabetes-specific distress-related literature was retrieved and downloaded from the Web of Science Core Collection (WoSCC). Secondly, WoSCC self-contained toolkits and GraphPad Prism7 were conducted to analyze general characteristics, including literature products, countries, institutes, authors, and journal resource. Finally, CiteSpace V Toolkits was put forward to implement advanced analysis, consisting of keyword-term frequency and co-occurrence, references-cited frequency and co-occurrence, and burst detection for keyword terms and references cited, which uncovers the hotspots and frontiers of diabetes-specific distress. RESULTS: After preprocessing, our study included a total of 1051 papers concerning diabetes-specific distress. Publication outputs increased smoothly year by year. Compared with other journals, diabetic medicine delivered the largest number of documents. The United States occupied the leading positions, and the most productive institution was the University of California System in terms of literature products. Fisher L. has the highest references-cited frequency. Prevalence of diabetes-specific distress, diabetes-specific distress and glycemic control, diabetes-specific distress and depression comorbidity, and diabetes-specific distress and risk factors were the research hotspots, whereas the measure of diabetes-specific distress and latent and serious/severe diabetes-specific distress was the research frontiers. CONCLUSIONS: Overall, our study may inspire researchers to show great interest in diabetes-specific distress in the next few years. Hindawi 2020-01-15 /pmc/articles/PMC6985931/ /pubmed/32016121 http://dx.doi.org/10.1155/2020/8691451 Text en Copyright © 2020 Dan Li et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Dan
Dai, Fu-Min
Xu, Juan-Juan
Jiang, Meng-Die
Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title_full Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title_fullStr Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title_full_unstemmed Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title_short Characterizing Hotspots and Frontier Landscapes of Diabetes-Specific Distress from 2000 to 2018: A Bibliometric Study
title_sort characterizing hotspots and frontier landscapes of diabetes-specific distress from 2000 to 2018: a bibliometric study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6985931/
https://www.ncbi.nlm.nih.gov/pubmed/32016121
http://dx.doi.org/10.1155/2020/8691451
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