Synthetic Knowledge Synthesis in Hospital Libraries

Kokol, Peter

doi:10.1080/15323269.2023.2291282

Cited by 9 publications

(7 citation statements)

References 23 publications

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“…The SKS approach, a novel knowledge synthesis methodology based on the triangulation of distant reading, bibliometric mapping, and content analysis, facilitates a wide range of mapping functions. It provides comprehensive quantitative and qualitative evidence to support research findings ( Kokol, 2021 , 2023 ).…”

Section: Discussionmentioning

confidence: 99%

“…CiteSpace parameters were set as follows: time slicing from January 1977 to December 2019 (years per slice = 1), node types selecting (country, institution, author, or keyword), selection criteria selecting g -index ( k = 25), and setting the others as default values. Keyword clustering was conducted using a new semi-automated synthesis approach, synthetic knowledge synthesis (SKS), using VOSviewer ( Kokol, 2023 ). The visual elements in VOSviewer’s maps are determined by the number of projects and the strength of cooperation and co-occurrence, with node and line sizes corresponding to these factors ( van Eck and Waltman, 2010 ).…”

Section: Methodsmentioning

confidence: 99%

“…The visual elements in VOSviewer’s maps are determined by the number of projects and the strength of cooperation and co-occurrence, with node and line sizes corresponding to these factors ( van Eck and Waltman, 2010 ). The SKS approach is a novel synthesis approach based on the triangulation of distant reading, bibliometric mapping, and content analysis, facilitating the execution of a wide range of mapping functions and providing comprehensive quantitative and qualitative evidence to support research findings ( Zagoranski et al, 2021 ; Kokol, 2023 ).…”

Section: Methodsmentioning

confidence: 99%

“…Bibliometric analysis has become an indispensable tool in medical research due to its ability to provide a quantitative evaluation of scientific publications ( Jain et al, 2023 ; Kokol, 2023 ; Sayegh et al, 2023 ). This method involves the use of mathematical and statistical techniques to analyze various aspects of scholarly literature.…”

Section: Introductionmentioning

confidence: 99%

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Top 100 most-cited articles on tau protein: a bibliometric analysis and evidence mapping

Chen,

Shan,

Wang

et al. 2024

Front. Neurosci.

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BackgroundTau, a microtubule-associated protein extensively distributed within the central nervous system (CNS), exhibits close associations with various neurodegenerative disorders. Here, we aimed to conduct a qualitative and quantitative bibliometric study of the top 100 most-cited publications on tau protein and reveal the current research hotspots and future perspectives.MethodsThe relevant literature was retrieved from the Web of Science Core Collection. CiteSpace (v6.2.R4) and VOSviewer (1.6.19) were adopted for bibliometric analysis with statistical and visual analysis.ResultsCitations per article ranged from 615 to 3,123, with a median number of 765.5 times. “Neuroscience” emerged as the most extensively researched subject in this field. The USA has emerged as the leading country, with a publication record (n = 65), total citations (n = 66,543), strong centrality (0.29), and extensive international collaborations. Harvard University (n = 11) and the University of California, San Francisco (n = 11) were the top two institutions in terms of publications. Neuron dominated with 13 articles in the 37 high-quality journals. M. Goedert from the MRC Laboratory of Molecular Biology was the most productive (n = 9) and top co-cited (n = 179) author. The most frequently studied keywords were Alzheimer’s disease (n = 38). Future research is anticipated to intensify its focus on the pathogenesis of various tau-related diseases, emphasizing the phosphorylation and structural alterations of tau protein, particularly in Alzheimer’s disease.ConclusionThe pathogenesis of various tau-related diseases, including the phosphorylation and structural alterations of the tau protein, will be the primary focus of future research, with particular emphasis on Alzheimer’s disease as a central area of investigation.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

Kokol

2024

Preprint

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Artificial intelligence (AI) has witnessed an exponential increase in its use in various applications. Recently, the academic community started to research and inject new AI-based approaches to provide solutions to traditional software engineering problems. However, a comprehensive and holistic understanding of the current status is missing. To close the above gap, synthetic knowledge synthesis was used to induce a research landscape of the contemporary research literature on the use of AI in software engineering. The synthesis resulted in 15 research categories and five themes, namely natural language processing in software engineering, use of artificial intelligence in the management of software development life cycle, use of machine learning in fault/defect prediction and effort estimation, employment of deep learning in intelligent software engineering and code management, and mining software repositories to improve software quality. The most productive country was China (n=2042), followed by the United States (n=1193), India (n=934), Germany (n=445), and Canada (n=381). A high percentage (n=47.4%) of papers were funded, showing a strong interest in this research topic. The convergence of AI and software engineering can significantly reduce needed resources, improve quality, increase user experience, and improve the well-being of software developers.

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Bibliometric and visual analysis of severe trauma literature in the past 20 years

Chang,

Li,

Wang

et al. 2024

MedComm – Future Medicine

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Severe trauma is a critical aspect of medical practice, profoundly impacting patient care and outcomes. Over the past 20 years, advancements in trauma care concepts and the utilization of advanced technologies have led to substantial growth in severe trauma research, evidenced by a notable increase in research activity and subsequent publications. To understand the publication landscape in severe trauma, identify prevailing research trends, and highlight areas requiring further development for future insights, we conducted a bibliometric analysis. Our analysis indicates that there are 16,939 severe trauma‐related publications from the past 20 years, with a continuous increase in publication volume, particularly showing a rapid growth trend from 2018 to 2021. The United States leads in both volume and citation frequency. Moreover, we synthesized data on productive countries/regions and research institutions, showcasing extensive collaboration across diverse geographic locations and institutional affiliations. Substantial progress has been achieved in severe trauma research, particularly in clinical diagnosis, treatment, epidemiology, prevention, and pathogenesis. However, there is still a gap in adopting cutting‐edge interdisciplinary methodologies. This study provides a comprehensive overview of the current state of severe trauma research and suggests pathways for future advancement.

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Synthetic Knowledge Synthesis in Hospital Libraries

Cited by 9 publications

References 23 publications

Top 100 most-cited articles on tau protein: a bibliometric analysis and evidence mapping

Top 100 most-cited articles on tau protein: a bibliometric analysis and evidence mapping

The Use of AI in Software Engineering: Synthetic Knowledge Synthesis of Recent Research Literature

Bibliometric and visual analysis of severe trauma literature in the past 20 years

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