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Lin HY, Chou W, Chien TW, Yeh YT, Kuo SC, Hsu SY. Analyzing shifts in age-related macular degeneration research trends since 2014: A bibliometric study with triple-map Sankey diagrams (TMSD). Medicine (Baltimore) 2024; 103:e36547. [PMID: 38241545 PMCID: PMC10798733 DOI: 10.1097/md.0000000000036547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/17/2023] [Indexed: 01/21/2024] Open
Abstract
BACKGROUND Age-related macular degeneration (AMD) is the primary cause of vision impairment in older adults, especially in developed countries. While many articles on AMD exist in the literature, none specifically delve into the trends based on document categories. While bibliometric studies typically use dual-map overlays to highlight new trends, these can become congested and unclear with standard formats (e.g., in CiteSpace software). In this study, we introduce a unique triple-map Sankey diagram (TMSD) to assess the evolution of AMD research. Our objective is to understand the nuances of AMD articles and show the effectiveness of TMSD in determining whether AMD research trends have shifted over the past decade. METHODS We collected 7465 articles and review pieces related to AMD written by ophthalmologists from the Web of Science core collection, accumulating article metadata from 2014 onward. To delve into the characteristics of these AMD articles, we employed various visualization methods, with a special focus on TMSD to track research evolution. We adopted the descriptive, diagnostic, predictive, and prescriptive analytics (DDPP) model, complemented by the follower-leading clustering algorithm (FLCA) for clustering analysis. This synergistic approach proved efficient in identifying and showcasing research focal points and budding trends using network charts within the DDPP framework. RESULTS Our findings indicate that: in countries, institutes, years, authors, and journals, the dominant entities were the United States, the University of Bonn in Germany, the year 2021, Dr Jae Hui Kim from South Korea, and the journal "Retina"; in accordance with the TMSD, AMD research trends have not changed significantly since 2014, as the top 4 categories for 3 citing, active, and cited articles have not changed, in sequence (Ophthalmology, Science & Technology - Other Topics, General & Internal Medicine, Pharmacology & Pharmacy). CONCLUSION The introduced TMSD, which incorporates the FLCA algorithm and features in 3 columns-cited, active, and citing research categories-offers readers clearer insights into research developments compared to the traditional dual-map overlays from CiteSpace software. Such tools are especially valuable for streamlining the visualization of the intricate data often seen in bibliometric studies.
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Affiliation(s)
- Hsin-Ying Lin
- Department of Ophthalmology, Chi-Mei Medical Center, Yong Kang, Tainan City, Taiwan
| | - Willy Chou
- Department of Physical Medicine and Rehabilitation, Chiali Chi-Mei Hospital, Tainan, Taiwan
- Department of Physical Medicine and Rehabilitation, Chung San Medical University Hospital, Taichung, Taiwan
| | - Tsair-Wei Chien
- Department of Medical Research, Chi-Mei Medical Center, Tainan, Taiwan
| | - Yu-Tsen Yeh
- Medical School, St. George’s, University of London, United Kingdom
| | - Shu-Chun Kuo
- Department of Optometry, Chung Hwa University of Medical Technology, Tainan, Taiwan
- Department of Ophthalmology, Chi-Mei Medical Center, Yong Kang, Tainan City, Taiwan
| | - Sheng-Yao Hsu
- Department of Optometry, Chung Hwa University of Medical Technology, Tainan, Taiwan
- Department of Ophthalmology, An Nan Hospital, China Medical University, Tainan, Taiwan
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Cao C, Li S, Zhou G, Xu C, Chen X, Qiu H, Li X, Liu Y, Cao H, Bi C. Global trends in COVID-19 Alzheimer's related research: a bibliometric analysis. Front Neurol 2023; 14:1193768. [PMID: 37342784 PMCID: PMC10278887 DOI: 10.3389/fneur.2023.1193768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
Background The COVID-19 pandemic has significantly impacted public health, putting people with Alzheimer's disease at significant risk. This study used bibliometric analysis method to conduct in-depth research on the relationship between COVID-19 and Alzheimer's disease, as well as to predict its development trends. Methods The Web of Science Core Collection was searched for relevant literature on Alzheimer's and Coronavirus-19 during 2019-2023. We used a search query string in our advanced search. Using Microsoft Excel 2021 and VOSviewer software, a statistical analysis of primary high-yield authors, research institutions, countries, and journals was performed. Knowledge networks, collaboration maps, hotspots, and regional trends were analyzed using VOSviewer and CiteSpace. Results During 2020-2023, 866 academic studies were published in international journals. United States, Italy, and the United Kingdom rank top three in the survey; in terms of productivity, the top three schools were Harvard Medical School, the University of Padua, and the University of Oxford; Bonanni, Laura, from Gabriele d'Annunzio University (Italy), Tedeschi, Gioacchino from the University of Campania Luigi Vanvitelli (Italy), Vanacore, Nicola from Natl Ctr Dis Prevent and Health Promot (Italy), Reddy, P. Hemachandra from Texas Tech University (USA), and El Haj, Mohamad from University of Nantes (France) were the authors who published the most articles; The Journal of Alzheimer's Disease is the journals with the most published articles; "COVID-19," "Alzheimer's disease," "neurodegenerative diseases," "cognitive impairment," "neuroinflammation," "quality of life," and "neurological complications" have been the focus of attention in the last 3 years. Conclusion The disease caused by the COVID-19 virus infection related to Alzheimer's disease has attracted significant attention worldwide. The major hot topics in 2020 were: "Alzheimer' disease," COVID-19," risk factors," care," and "Parkinson's disease." During the 2 years 2021 and 2022, researchers were also interested in "neurodegenerative diseases," "cognitive impairment," and "quality of life," which require further investigation.
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Affiliation(s)
- Chenjun Cao
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Sixin Li
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Gaoya Zhou
- Department of Neurology, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Neurology, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Caijuan Xu
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Xi Chen
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Huiwen Qiu
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Xinyu Li
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Ying Liu
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Hui Cao
- Department of Psychiatry, School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China
- Department of Psychiatry, Hunan Brain Hospital (The Second People's Hospital of Hunan Province), Changsha, Hunan, China
| | - Changlong Bi
- Department of Neurosurgery, Xiangya Hospital, Center South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
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