Mapping the global research output on Ebola vaccine from research indexed in web of science and scopus: a comprehensive bibliometric analysis

Akintunde, Tosin Yinka; Musa, Taha Hussein; Musa, Hassan Hussein; Chen, Shaojun; Ibrahim, Elhakim; Muhideen, Sayibu; Kawuki, Joseph

doi:10.1080/21645515.2021.1948785

Cited by 13 publications

(10 citation statements)

References 20 publications

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“…The top 100 Keyword Plus were visualized and summarized using WorldCloud analysis for top 100 cited articles on AI, ML, and cancer research documents. The most frequently occurring keywords were: "Human" (85), "female" (76), "humans" (69), "aged" (57),' adult (47), "sensitivity and specificity" (43), "artificial neural network" (38), "middle aged" (38), "artificial intelligence" (37), "computer-assisted" (31), "mammography" (30), "algorithms" (29), "breast cancer" (29), "machine learning" (29), and "deep learning" (26), among others keyword (Figure 2).…”

Section: Resultsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

et al. 2022

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Introduction Cancer is a major public health problem and a global leading cause of death where the screening, diagnosis, prediction, survival estimation, and treatment of cancer and control measures are still a major challenge. The rise of Artificial Intelligence (AI) and Machine Learning (ML) techniques and their applications in various fields have brought immense value in providing insights into advancement in support of cancer control. Methods A systematic and thematic analysis was performed on the Scopus database to identify the top 100 cited articles in cancer research. Data were analyzed using RStudio and VOSviewer.Var1.6.6. Results The top 100 articles in AI and ML in cancer received a 33 920 citation score with a range of 108 to 5758 times. Doi Kunio from the USA was the most cited author with total number of citations (TNC = 663). Out of 43 contributed countries, 30% of the top 100 cited articles originated from the USA, and 10% originated from China. Among the 57 peer-reviewed journals, the “Expert Systems with Application” published 8% of the total articles. The results were presented in highlight technological advancement through AI and ML via the widespread use of Artificial Neural Network (ANNs), Deep Learning or machine learning techniques, Mammography-based Model, Convolutional Neural Networks (SC-CNN), and text mining techniques in the prediction, diagnosis, and prevention of various types of cancers towards cancer control. Conclusions This bibliometric study provides detailed overview of the most cited empirical evidence in AI and ML adoption in cancer research that could efficiently help in designing future research. The innovations guarantee greater speed by using AI and ML in the detection and control of cancer to improve patient experience.

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Section: Resultsmentioning

confidence: 99%

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

et al. 2022

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“…This finding broadly supports the work of other studies in different areas linking scientific research output with geographical location and financial growth[ 12 , 49 , 50 ]. Various bibliometric analysis studies have also shown that the United States is the most prolific country in microbiology research output[ 19 , 20 , 23 , 51 ].…”

Section: Discussionmentioning

confidence: 99%

Global research on Clostridium difficile-associated diarrhoea: A visualized study

Zyoud¹

2022

WJG

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BACKGROUND Clostridioides (Clostridium) difficile ( C. difficile ) is still the most common cause of healthcare-associated diarrhoea and is increasing in prevalence as a community-acquired infection. In addition, the emergence of antibiotic resistance in C. difficile can increase the likelihood of the disease developing and/or spreading. AIM To provide an up-to-date picture of the trends in publications related to C. difficile infection, together with specific insights into hot-button issues in this field. METHODS Publications on C. difficile infections in the field of microbiology between 2001 and 2020 were identified from the Scopus database and Reference Citation Analysis. Bibliometric indicators were determined, including the number and type of publications, countries, affiliations, funding agencies, journals and citation patterns. VOSviewer was used to determine research areas and hot-button issues by identifying recurring terms with a high relative occurrence in the title and abstract. RESULTS A total of 8127 documents on ‘ C. difficile -associated diarrhoea’ published between 2001 and 2020 were retrieved from the Scopus database. In the last decade, there has been a significant almost fourfold increase in the number of published papers on this topic. The United States was among the countries (44.11%) with the most publications, and the most involved institution was the University of Leeds in the United Kingdom (2.50%). Three clusters of research were identified and included ‘illness spectrum and severity, as well as the signs, symptoms and clinical pathogenesis of C. difficile’ ; ‘laboratory diagnosis and characterization of C. difficile’ and ‘risk factors for C. difficile infection’. CONCLUSION This study contains the most up-to-date and comprehensive data ever compiled in this field. More international research and cross-institutional collaborations are needed to address more global C. difficile concerns and to benefit from greater sharing of expertise, which will result in higher quality or more effective studies in the future. Promising research avenues in the near future may draw the attention of relevant scientists and funding organizations and open up novel C. difficile infection–based diagnosis and treatment approaches.

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“…Bibliometrix is an open-source tool that performs comprehensive science mapping analysis of scientific literature ( 27 – 29 ). In this study, it was used to examine the number of publications and collaborations across countries, institutions, authors, and journals ( 30 ). The cooperation relationship is mainly shown using a cooperation network diagram.…”

Section: Methodsmentioning

confidence: 99%

Hepatic arterial infusion chemotherapy in hepatocellular carcinoma: A bibliometric and knowledge-map analysis

Zhang

et al. 2023

Front. Oncol.

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BackgroundIn recent years, hepatic arterial infusion chemotherapy (HAIC) has gained popularity in the treatment of hepatocellular carcinoma. Although several studies have been published, no bibliometric analysis have been conducted on this topic.ObjectivesTo understand the development status and future trends in the application of HAIC, we conducted bibliometric analysis to examine the cooperation and influence among countries, institutions, authors, and journals.MethodsAll relevant articles and reviews on the use of HAIC in HCC treatment were retrieved from the Web of Science database. A bibliometric analysis of countries, institutions, journals, authors, and keywords related to this field was performed using R and VOSviewer software. The main aspects analyzed were the research status and key fields of HAIC in HCC treatment.ResultsA total of 1026 articles published in 292 journals by 4937 authors from 959 institutions between 1974 and 2021 were retrieved. A rapid increase in articles published after 1990 was observed, which reached the peak in 2021. Japan had the most publications and citations. Yonsei University, Sun Yat-sen University, and Hiroshima University were the three leading institutions in research on this topic. Kwang-Hyub Han and Masatoshi Kudo have the greatest academic influence in this field. Most publications were made in the Hepato-Gastroenterology, whereas cancer had the most citations. The main aspects of HAIC treatment of HCC include HAIC and TACE, chemotherapy drug selection, HAIC and targeted therapy and immunotherapy, HAIC and surgery, and hepatotoxicity. Keywords such as FOLFOX, lenvatinib, hepatic arterial infusion chemotherapy are hot words in this field in recent years.ConclusionThe research on the use of HAIC in the treatment of HCC has been on the rise. Currently, HAIC combined with targeted therapy or immunotherapy has attracted significant attention.

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Mapping the global research output on Ebola vaccine from research indexed in web of science and scopus: a comprehensive bibliometric analysis

Cited by 13 publications

References 20 publications

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database

Global research on Clostridium difficile-associated diarrhoea: A visualized study

Hepatic arterial infusion chemotherapy in hepatocellular carcinoma: A bibliometric and knowledge-map analysis

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