1
|
Monson H, Demaine J, Perryman A, Felfeli T. Bibliometric analysis of the 3-year trends (2018-2021) in literature on artificial intelligence in ophthalmology and vision sciences. BMJ Health Care Inform 2024; 31:e100780. [PMID: 38418374 PMCID: PMC10910687 DOI: 10.1136/bmjhci-2023-100780] [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: 04/03/2023] [Accepted: 01/31/2024] [Indexed: 03/01/2024] Open
Abstract
OBJECTIVES The objective of this analysis is to present a current view of the field of ophthalmology and vision research and artificial intelligence (AI) from topical and geographical perspectives. This will clarify the direction of the field in the future and aid clinicians in adapting to new technological developments. METHODS A comprehensive search of four different databases was conducted. Statistical and bibliometric analysis were done to characterise the literature. Softwares used included the R Studio bibliometrix package, and VOSviewer. RESULTS A total of 3939 articles were included in the final bibliometric analysis. Diabetic retinopathy (391, 6% of the top 100 keywords) was the most frequently occurring indexed keyword by a large margin. The highest impact literature was produced by the least populated countries and in those countries who collaborate internationally. This was confirmed via a hypothesis test where no correlation was found between gross number of published articles and average number of citations (p value=0.866, r=0.038), while graphing ratio of international collaboration against average citations produced a positive correlation (r=0.283). Majority of publications were found to be concentrated in journals specialising in vision and computer science, with this category of journals having the highest number of publications per journal (18.00 publications/journal), though they represented a small proportion of the total journals (<1%). CONCLUSION This study provides a unique characterisation of the literature at the intersection of AI and ophthalmology and presents correlations between article impact and geography, in addition to summarising popular research topics.
Collapse
Affiliation(s)
- Hayley Monson
- Mathematics, McMaster University, Hamilton, Ontario, Canada
| | - Jeffrey Demaine
- Research Impact Services, McMaster University, Hamilton, Ontario, Canada
| | | | - Tina Felfeli
- Department of Ophthalmology and Vision Sciences, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management and Evulation, University of Toronto, Toronto, Ontario, Canada
| |
Collapse
|
2
|
Wang Y, Pan J, Wang M, Su J. Research hotspots and frontiers in acral melanoma: A bibliometric analysis from 1999 to 2023. Heliyon 2024; 10:e23720. [PMID: 38226247 PMCID: PMC10788444 DOI: 10.1016/j.heliyon.2023.e23720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/04/2023] [Accepted: 12/12/2023] [Indexed: 01/17/2024] Open
Abstract
Background Acral melanoma (AM), an aggressive subtype of melanoma with poor prognosis, has been increasingly studied. The present study aims to discuss the current status, hotspots and future directions of AM studies through visualized analysis with bibliometrics and knowledge graph. Method Publications related to acral melanoma from January 1999 to May 2023 were searched and retrieved from the Web of Science. Data extraction and visualization of the top 10 publications by year of publication, journal, country and core author were performed using R Studio (Version 4.3.0) and Scimago Graphica (Version 1.0.34). Co-reference graphs regarding country/region, organization, author, and keywords, as well as reference collaborative network, co-occurrence network, and references were plotted using VOSviewer (Version 1.6.19) and CiteSpace (Version 6.2.R3). Results A total of 1387 articles related to AM published in English from 1999 to 2023 were included in the present study. A total of 7499 authors were from 2092 organizations in 50 countries. The articles were published in 356 journals, involving 4131 keywords and 28,200 references. The 1387 articles related to AM had been cited a total of 10,014 times by the time of this study. The result showed that Journal of the American Academy of Dermatology had the largest number of citations and citation rate, with a total of 60 publications having been cited 2191 times. Having the top three productivity institutions in the world, the US is the most productive country in this field, with a total of 361 publications. The authors with the highest number of publications were Guo Jun (n = 43) and Si Lu (n = 38) from Peking University. The keyword burstiness test found that "ipilimumab", "open label", "efficacy" and "nivolumab" appeared most frequently in recent years. The co-cited reference timeline graph showed that the clustering of "advanced melanoma" and "melanocytic lesion" has been a hotspot since 2016. Conclusions The number of AM-related studies has been increasing. The clinical characteristics and immunotherapy of AM are still key research directions, with the US playing a leading role in this field. This bibliometric analysis found up to 1387 publications, which not only comprehensively and quantitatively reflected the research trends and hotspots, but also provided a theoretical basis for future studies of AM. Researchers can benefit from choosing the right journals and finding potential collaborators or partner institutions.
Collapse
Affiliation(s)
- Yi Wang
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- The Fifth People's Hospital of Hainan Province / Affiliated Dermatology Hospital of Hainan Medical University, Haikou City, Hainan, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Jie Pan
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Mi Wang
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Department of Mental Health Center, Xiangya Hospital, Central South University, Changsha, China
| | - Juan Su
- Department of Dermatology, Hunan Engineering Research Center of Skin Health and Disease, Hunan Key Laboratory of Skin Cancer and Psoriasis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology, Central South University, Changsha, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, China
| |
Collapse
|
3
|
Huang Y, Chang Z, Xia X, Zhao Z, Zhang X, Huang Z, Wu C, Pan X. Current and evolving knowledge domains of cubosome studies in the new millennium. JOURNAL OF NANOPARTICLE RESEARCH 2023; 25:176. [DOI: 10.1007/s11051-023-05823-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/11/2023] [Indexed: 06/25/2024]
|
4
|
Wan Y, Shen J, Hong Y, Liu J, Shi T, Cai J. Mapping knowledge landscapes and emerging trends of the biomarkers in melanoma: a bibliometric analysis from 2004 to 2022. Front Oncol 2023; 13:1181164. [PMID: 37427124 PMCID: PMC10327294 DOI: 10.3389/fonc.2023.1181164] [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: 03/07/2023] [Accepted: 06/07/2023] [Indexed: 07/11/2023] Open
Abstract
Background Melanoma is a skin tumor with a high mortality rate, and early diagnosis and effective treatment are the key to reduce its mortality rate. Therefore, more and more attention has been paid for biomarker identification for early diagnosis, prognosis prediction and prognosis evaluation of melanoma. However, there is still a lack of a report that comprehensively and objectively evaluates the research status of melanoma biomarkers. Therefore, this study aims to intuitively analyze the research status and trend of melanoma biomarkers through the methods of bibliometrics and knowledge graph. Objective This study uses bibliometrics to analyze research in biomarkers in melanoma, summarize the field's history and current status of research, and predict future research directions. Method Articles and Reviews related to melanoma biomarkers were retrieved by using Web of Science core collection subject search. Bibliometric analysis was performed in Excel 365, CiteSpace, VOSviewer and Bibliometrix (R-Tool of R-Studio). Result A total of 5584 documents from 2004 to 2022 were included in the bibliometric analysis. The results show that the number of publications and the frequency of citations in this field are increasing year by year, and the frequency of citations has increased rapidly after 2018. The United States is the most productive and influential country in this field, with the largest number of publications and institutions with high citation frequency. Caroline Robert, F. Stephen Hodi, Suzanne L. Topalian and others are authoritative authors in this field, and The New England Journal of Medicine, Journal of Clinical Oncology and Clinical Cancer Research are the most authoritative journals in this field. Biomarkers related to the diagnosis, treatment and prognosis of melanoma are hot topics and cutting-edge hotspots in this field. Conclusion For the first time, this study used the bibliometric method to visualize the research in the field of melanoma biomarkers, revealing the trends and frontiers of melanoma biomarkers research, which provides a useful reference for scholars to find key research issues and partners.
Collapse
Affiliation(s)
- Yantong Wan
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Junyi Shen
- The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China
| | - Yinghao Hong
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Jinghua Liu
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| | - Tieliu Shi
- The Center for Bioinformatics and Computational Biology, Shanghai Key Laboratory of Regulatory Biology, The Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing, China
| | - Junwei Cai
- Guangdong Provincial Key Laboratory of Proteomics, Department of Pathophysiology, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| |
Collapse
|
5
|
Liu Y, Yu L, Liang Y, Cheng X, Jiang S, Yu H, Zhang Z, Lu L, Qu B, Chen Y, Zhang X. Research landscape and trends of melanoma immunotherapy: A bibliometric analysis. Front Oncol 2023; 12:1024179. [PMID: 36698407 PMCID: PMC9868470 DOI: 10.3389/fonc.2022.1024179] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 12/19/2022] [Indexed: 01/11/2023] Open
Abstract
Background Immunotherapy for lung cancer has been a hot research area for years. This bibliometric analysis was intended to present research trends on melanoma immunotherapy. Method On April 1, 2022, the authors identified 2,109 papers on melanoma immunotherapy using the Web of Science and extracted their general information and the total number of citations. The authors then conducted a bibliometric analysis to present the research landscape, clarify the research trends, and determine the most cited papers (top-papers) as well as major journals on melanoma immunotherapy. Subsequently, recent research hotspots were identified by analyzing the latest articles in major journals. Results The total and median number of citations of these 2,109 papers on melanoma immunotherapy was 137,686 and 11, respectively. "Improved survival with ipilimumab in patients with metastatic melanoma" by Hodi et al. was the most cited paper (9,824 citations). Among the journals, the top-paper number (16), average citations per paper (2,510.7), and top-papers rate (100%) of New England Journal of Medicine were the highest. Corresponding authors represented the USA took part in most articles (784). Since 2016, the hottest research area has changed from CTLA-4 to PD-1. Conclusions This bibliometric analysis comprehensively and quantitatively presents the research trends and hotspots based on 2,109 relevant publications, and further suggests future research directions. The researchers can benefit in selecting journals and in finding potential collaborators. This study can help researchers gain a comprehensive impression of the research landscape, historical development, and current hotspots in melanoma immunotherapy and can provide inspiration for future research.
Collapse
Affiliation(s)
- Yanhao Liu
- *Correspondence: Xiaotao Zhang, ; Yanhao Liu,
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|