COVID-19 pharmacological research trends: a bibliometric analysis

Shi, Yanyan; Song, Yuanxiu; Guo, Zhijun; Yu, Wei; Zheng, Huiling; Ding, Shigang; Zhan, Siyan

doi:10.1016/j.imed.2022.06.004

Cited by 4 publications

(4 citation statements)

References 34 publications

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“…With its powerful functions and citation reports, it can quickly target highly impactful and representative researches, thus track down the research interests concerned to domestic and international authorities, as well as capture the growing trends of the discipline [ 18 ]. Hence, WOS database has been used extensively in bibliometric analysis [ 4 , 19 , 20 ].…”

Section: Methodsmentioning

confidence: 99%

The top 100 most cited articles on COVID-19 vaccine: a bibliometric analysis

Wang

Yao

et al. 2023

Clin Exp Med

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This study aimed to uncover the current major topics regarding COVID-19 vaccine, and systematically evaluate the development trends for future research. The top 100 most cited original articles on COVID-19 vaccine from January 2020 to October 2022 were identified from Web of Science Core Collection database. CiteSpace (v6.1.R3) was adopted for bibliometric analysis with statistical and visual analysis. The number of citations ranged from 206 to 5881, with a median of 349.5. The USA ( n = 56), England ( n = 33), and China ( n = 16) ranked the top three countries/regions in terms of the number of publications. Harvard Medical School (centrality = 0.71), Boston Children’s Hospital (centrality = 0.67), and Public Health England (centrality = 0.57) were the top three institutions leading the way on COVID-19 vaccine research. The New England of medicine journal dominated with 22 articles in the 32 high-quality journals. The three most frequent keywords were immunization (centrality = 0.25), influenza vaccination (centrality = 0.21), and coronavirus (centrality = 0.18). Cluster analysis of keywords showed that the top four categories were protection efficacy, vaccine hesitancy, spike protein, and second vaccine dose ( Q value = 0.535, S value = 0.879). Cluster analysis of cited references showed that top eight largest categories were Cov-2 variant, clinical trial, large integrated health system, COV-2 rhesus macaque, mRNA vaccine, vaccination intent, phase II study, and Cov-2 omicron variant ( Q value = 0.672, S value = 0.794). The research on COVID-19 vaccine is currently the hottest topic in academic community. At present, COVID-19 vaccines researches have focused on vaccine efficacy, vaccine hesitancy, and the efficacy of current vaccines on omicron variants. However, how to increase vaccine uptake, focus on mutations in the spike protein, evaluate of the efficacy of booster vaccine, and how effective new vaccines under pre- and clinical development against omicron will be spotlight in the future.

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Section: Methodsmentioning

confidence: 99%

The top 100 most cited articles on COVID-19 vaccine: a bibliometric analysis

Wang

Yao

et al. 2023

Clin Exp Med

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“…Analisis bibliometrik yang komprehensif dapat mengidentifikasi secara cepat arah penelitian masa depan, kolaborator potensial dan topik penelitian utama. Analisis bibliometrik didasarkan pada parameter publikasi yang unik, menilai secara kuantitatif status saat ini, pusat penelitian dan tren iptek dengan menggunakan kombinasi metode statistik dan matematis [2].…”

Section: Analisis Bibliometrikunclassified

“…VOSviewer dirancang untuk menampilkan grafis peta bibliometrik [2]. VOSviewer dapat membuat jaringan kata kunci yang muncul bersamaan dan klusternya dari seluruh kumpulan data.…”

Section: Vosviewerunclassified

“…Analisis bibliometrik merupakan tinjauan pustaka kuantitatif yang menggunakan matematika, penambahan data dan statistik untuk menemukan tren yang terjadi pada suatu topik penelitian [1]. Untuk memahami status dan tren terkini yang berkaitan dengan suatu bidang penelitian tertentu dengan menggunakan analisis bibliometrik yang komprehensif [2]. VOSviewer adalah salah satu alat atau software yang bisa membuat literature review (studi pustaka) dengan cara analisis bibliometrik secara komprehensif dan sah [3] Hasil yang diharapkan dari penelitian ini adalah ditemukan celah penelitian, peluang untuk penelitian serta keterbaruan untuk topik LM.…”

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Analisis Bibliometrik (2014-2023): Tren Lean Manufacturing Di Sciencedirect Dengan Vosviewer

Nurlaila,

Putri,

Amrina

2023

SGTk

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Research on the topic of lean Manufacturing (LM) has a good trend at the international level. Bibliometric analysis with VOSviewer has been widely applied by researchers to see research trends in a topic, quantitatively assess the current status and quickly identify future research directions based on unique publication parameters. Bibliometric analysis was conducted on 548 articles from ScienceDirect for the topic of LM in the period 2014 to 4 June 2023. From 29 journals it detected the names of journals that frequently published and names of journals that provided opportunities for authors to submit articles. Detected 1449 authors, 591 were the main authors and 858 were co-authors. The majority of the top-30 productive researchers are co-authors. Detected 53 names of countries of the main author, 8 countries that occupy the top-10 are developed countries and only 2 countries are developing countries. In writing articles, the author has a majority team of 2-4 people in one team. Based on the results of the VOSviewer mapping, there is a novelty in research for the keywords additive manufacturing and OEE. Recommendations for further research are that LM research carries manufacturing, focusing on engine performance using OEE indicators and the industry 4.0 approach.

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Exploring Data Privacy and Privacy Paradox Nature of Consumers Using Block Chain Technology: Application of SLR and Bibliometric Analysis Tools

Afridi,

Kumar

2024

Abhigyan

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This research presents an in-depth study of blockchain technology’s impact on data privacy and the consumer behaviour phenomenon known as the privacy paradox. Through a systematic literature review (SLR) and bibliometric analysis, the study delves into the effectiveness of blockchain in safeguarding personal data in an increasingly digital world. Key databases such as Scopus and Web of Science provide rich academic contributions, particularly from regions with stringent data privacy laws. The findings highlight blockchain’s effectiveness in limiting unauthorised data access, boosting user control and tackling the privacy paradox, where personal information is shared despite privacy worries. Yet, it points out challenges in aligning blockchain with legal frameworks, such as General Data Protection Regulation, particularly concerning data erasure rights. The study emphasises three themes: blockchain’s progression toward robust data protection, psychological aspects of the privacy paradox in consumer decisions and attitudes toward blockchain solutions. It notes gaps in standardisation, public awareness and blockchain’s practical applications, alongside ethical and policy issues. Conclusively, the research stresses the need for aligning technological advancements with legal and ethical frameworks, highlighting user experience in digital technology adoption. It positions blockchain as a pivotal factor in reshaping digital privacy, advocating for continued innovation and exploration in blockchain applications to ensure a secure, user-empowering future globally.

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COVID-19 pharmacological research trends: a bibliometric analysis

Cited by 4 publications

References 34 publications

The top 100 most cited articles on COVID-19 vaccine: a bibliometric analysis

The top 100 most cited articles on COVID-19 vaccine: a bibliometric analysis

Analisis Bibliometrik (2014-2023): Tren Lean Manufacturing Di Sciencedirect Dengan Vosviewer

Exploring Data Privacy and Privacy Paradox Nature of Consumers Using Block Chain Technology: Application of SLR and Bibliometric Analysis Tools

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