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Rodgers DL, Bohrer MB, Morales AA, Needler MD, VandeKoppel P. Using Bibliometric Analysis to Map the Impact of a Simulation Program's Published Scholarly Works. Simul Healthc 2024; 19:179-187. [PMID: 38345225 DOI: 10.1097/sih.0000000000000779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/31/2024]
Abstract
SUMMARY STATEMENT Bibliometrics quantitatively evaluates the targeted literature sources and can help define research and scholarly publications' impact and demonstrate connections for authors, departments, or universities. This article presents a methodology for simulation programs to evaluate their influence in terms of both impact and scope of their published simulation-based healthcare scholarly output. Using the authors' home university and healthcare system as an example, the article outlines a methodology to map research and scholarly works networks within the systems, identify and map connections outside the system, and quantifiably score the overall impact of the simulation program's scholarly output using a common scoring metric, the h-index. This generates an objective measure of impact, rather than a subjective opinion of an organization's research and scholarly impact. The combination of an institutional h-index with mapping of simulation-based healthcare scholarly output provides a full, objective description of the institution's output and provides a benchmark for other simulation programs for comparison.
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Affiliation(s)
- David L Rodgers
- From the Indiana University School of Medicine Interprofessional Simulation Center (D.L.R., M.D.N.), Bloomington, IN; Indiana University School of Medicine Department of Medicine (D.L.R.), Bloomington, IN; Indiana University School of Medicine (M.B.B., A.A.M.), Bloomington, IN; and Indiana University School of Medicine Department of Emergency Medicine (P.V.), Bloomington, IN
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Zhou W, Dong Y, Si H, Yang C, Zhao J, Chen X, Ye Z. Visual analysis of global hemorrhagic fever with renal syndrome research from 1980 to 2022: Based on CiteSpace and VOSviewer. Medicine (Baltimore) 2024; 103:e37586. [PMID: 38552094 PMCID: PMC10977534 DOI: 10.1097/md.0000000000037586] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Accepted: 02/22/2024] [Indexed: 04/02/2024] Open
Abstract
OBJECTIVE The development and current state of hemorrhagic fever with renal syndrome (HFRS) over the past 40 years are analyzed in this study, along with explored and discovered the hotspots and frontiers in the field, which serve as the foundation for future investigation. METHODS CiteSpace and VOSviewer analysis software were used to visually analyze the literature data on HFRS from 1980 to 2022, including the annual number of publications, countries and research institutions, authors, co-cited literature and keywords. RESULTS The number of pertinent papers published in the field of HFRS displayed an overall upward trend from 1980 to 2022. The United States, China, Germany, Sweden, and France are the top 5 countries in terms of publishing volume, with high intermediate centrality mainly concentrated in Europe and the United States. The top 10 co-occurring keywords were hemorrhagic fever, renal syndrome, infection, virus, epidemic, nephropathia epidemical, disease, hantavirus, outbreak, and transmission. According to keyword cluster analysis, there were 4 main research fields. In the HFRS-related study, there were mainly 21 notable keywords and "Korean hemorrhagic fever" had the highest hemorrhagic value (28.87). CONCLUSION The United States, China, Germany, Sweden and other countries attached great importance to the HFRS-related research. Moreover, the collaboration between authors and institutions in various collaborator clusters should be strengthened. In recent decades, investigations have focused on the study of viral infection and the clinical symptoms and pathophysiology of HFRS. Future research may concentrate on factors affecting host population distribution and density, such as vaccine development and meteorological factors pertaining to virus transmission.
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Affiliation(s)
- Wenfang Zhou
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Yonghai Dong
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Hongyu Si
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Cheng Yang
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Jun Zhao
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Xiaona Chen
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Zhenzhen Ye
- Young Scientific Research and Innovation Team of Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
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Yalcinkaya T, Cinar Yucel S. Mobile learning in nursing education: A bibliometric analysis and visualization. Nurse Educ Pract 2023; 71:103714. [PMID: 37552905 DOI: 10.1016/j.nepr.2023.103714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 05/25/2023] [Accepted: 07/01/2023] [Indexed: 08/10/2023]
Abstract
AIM This study performed a bibliometric analysis of studies related to mobile learning in the field of nursing education. METHODS The Scopus database was used to determine the most frequently cited studies on mobile learning in nursing education. VOSviewer and Bibliometrix were employed for bibliometric analysis and visualization. Science mapping and performance analysis was adopted from bibliometric analysis techniques. In addition, a synthetic knowledge synthesis approach was used. RESULTS A total of 234 publications were published in 107 sources in 2002-2023. The publications had 8797 citations, an average of 88 citations per publication. In terms of total link strength (TLS), links, a number of articles and citations, the US led all other countries in the field. Regarding authors, Hwang was the most frequently cited authors (n = 348). According to trend topics analysis, the keywords "gamification", "simulation", "attitude", "clinical competence" and "online learning" have emerged in the field. CONCLUSION Research on mobile learning in nursing education has been increasing in recent years. The findings of this study can provide new ideas in the applications of mobile learning in nursing education to researchers or nursing faculties in the field.
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Affiliation(s)
- Turgay Yalcinkaya
- Ege University, Nursing Faculty, Department of Fundamentals of Nursing, İzmir, Türkiye.
| | - Sebnem Cinar Yucel
- Ege University, Nursing Faculty, Department of Fundamentals of Nursing, İzmir, Türkiye
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Kokol P. Simulations can improve nursing education in general, especially in psychiatric simulation and critical care. Evid Based Nurs 2023; 26:32. [PMID: 36008093 DOI: 10.1136/ebnurs-2022-103604] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/10/2022] [Indexed: 01/17/2023]
Affiliation(s)
- Peter Kokol
- Faculty of Electrical Engineering and Computer Science, Peter Kokol, University of Maribor, Maribor, Slovenia
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Tu JX, Lin XT, Ye HQ, Yang SL, Deng LF, Zhu RL, Wu L, Zhang XQ. Global research trends of artificial intelligence applied in esophageal carcinoma: A bibliometric analysis (2000-2022) via CiteSpace and VOSviewer. Front Oncol 2022; 12:972357. [PMID: 36091151 PMCID: PMC9453500 DOI: 10.3389/fonc.2022.972357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 07/29/2022] [Indexed: 12/09/2022] Open
Abstract
ObjectiveUsing visual bibliometric analysis, the application and development of artificial intelligence in clinical esophageal cancer are summarized, and the research progress, hotspots, and emerging trends of artificial intelligence are elucidated.MethodsOn April 7th, 2022, articles and reviews regarding the application of AI in esophageal cancer, published between 2000 and 2022 were chosen from the Web of Science Core Collection. To conduct co-authorship, co-citation, and co-occurrence analysis of countries, institutions, authors, references, and keywords in this field, VOSviewer (version 1.6.18), CiteSpace (version 5.8.R3), Microsoft Excel 2019, R 4.2, an online bibliometric platform (http://bibliometric.com/) and an online browser plugin (https://www.altmetric.com/) were used.ResultsA total of 918 papers were included, with 23,490 citations. 5,979 authors, 39,962 co-cited authors, and 42,992 co-cited papers were identified in the study. Most publications were from China (317). In terms of the H-index (45) and citations (9925), the United States topped the list. The journal “New England Journal of Medicine” of Medicine, General & Internal (IF = 91.25) published the most studies on this topic. The University of Amsterdam had the largest number of publications among all institutions. The past 22 years of research can be broadly divided into two periods. The 2000 to 2016 research period focused on the classification, identification and comparison of esophageal cancer. Recently (2017-2022), the application of artificial intelligence lies in endoscopy, diagnosis, and precision therapy, which have become the frontiers of this field. It is expected that closely esophageal cancer clinical measures based on big data analysis and related to precision will become the research hotspot in the future.ConclusionsAn increasing number of scholars are devoted to artificial intelligence-related esophageal cancer research. The research field of artificial intelligence in esophageal cancer has entered a new stage. In the future, there is a need to continue to strengthen cooperation between countries and institutions. Improving the diagnostic accuracy of esophageal imaging, big data-based treatment and prognosis prediction through deep learning technology will be the continuing focus of research. The application of AI in esophageal cancer still has many challenges to overcome before it can be utilized.
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Affiliation(s)
- Jia-xin Tu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Xue-ting Lin
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Hui-qing Ye
- School of Public Health, Nanchang University, Nanchang, China
| | - Shan-lan Yang
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Li-fang Deng
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Ruo-ling Zhu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
| | - Lei Wu
- School of Public Health, Nanchang University, Nanchang, China
- Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, China
- *Correspondence: Lei Wu, ; Xiao-qiang Zhang,
| | - Xiao-qiang Zhang
- Department of Thoracic Surgery, The Second Affiliated Hospital of Nanchang University, Nanchang, China
- *Correspondence: Lei Wu, ; Xiao-qiang Zhang,
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