scholarly journals The effect of citation behaviour on knowledge diffusion and intellectual structure

2022 ◽  
Vol 16 (1) ◽  
pp. 101225
Author(s):  
Jinqing Yang ◽  
Zhifeng Liu
Keyword(s):  
Knowledge Diffusion ◽  
Intellectual Structure ◽  
Citation Behaviour

The theme trends and knowledge structure of H19 gene in cancer research: a scientometric analysis (Preprint)

2019 ◽  
Author(s):  
Zhigang Cui ◽  
Zhihua Yin ◽  
Lei Cui
Keyword(s):  
Cancer Research ◽  
Social Network ◽  
Citation Analysis ◽  
High Frequency ◽  
Cancer Metastasis ◽  
Intellectual Structure ◽  
Scientometric Analysis ◽  
Research Areas ◽  
Pivotal Study ◽  
Matrix Construction

BACKGROUND Background:H19 gene is maternally expressed imprinted oncofetal gene. This study aimed to explore distribution pattern and intellectual structure of H19 in cancer. OBJECTIVE Published scientific 826 papers related to H19 from Jan 1st, 2000 to March 22st, 2019 were obtained from the Web of Science core collection. METHODS We performed extraction of keywords and co-word matrix construction using BICOMB software. Then gCLUTO software, ucinet, excel software, Citespace, Vosviewer were successfully used for double -cluster analysis, social network analysis, Strategic coordinate analysis, co-citation analysis, and journal analysis. RESULTS We analyzed the distributions of included article of H19, identified 34 high-frequency keywords and classified them into 6 categories. Through co-word analysis and co-citation analysis for these categories, we identified the hotspot areas and intellectual basis about H19 in cancer research. Then the prospects of hotspots and their associations were accesssed by strategic coordinate diagrams and social network diagrams. CONCLUSIONS 6 research categories of 34 high-frequency keywords could represent the theme trends on H19 to some extent. Mir-675, cancer metastasis and risk, Wnt/β-catenin signaling pathway, SNP, and ceRNA network were core and mature research areas in this field. There is a lack of promising areas of H19 research. Matouk(2006) article play a key role in H19 research, and Murphy SK(2006)and Luo M(2013) articles serve knowledge transmission as pivotal study.

Mapping the Topics and Evolutions of Chinese Children’s Bestsellers

Libri ◽  
2020 ◽  
Vol 70 (4) ◽  
pp. 305-317
Author(s):  
Jiming Hu ◽  
Xiang Zheng ◽  
Peng Wen ◽  
Jie Xu
Keyword(s):  
Social Network ◽  
Quantitative Analysis ◽  
Network Analysis ◽  
Intellectual Structure ◽  
Structure Evolution ◽  
Children's Books ◽  
Children’S Books ◽  
Correlation Structures ◽  
The World ◽  
Data Source

AbstractChildren’s books involve a large number of topics. Research on them has been paid much attention to by both scholars and practitioners. However, the existing achievements do not focus on China, which is the fastest growing market for children’s books in the world. Studies using quantitative analysis are low in number, especially on the intellectual structure, evolution patterns, and development trends of topics of children’s bestsellers in China. Dangdang.com, the biggest Chinese online bookstore, was chosen as a data source to obtain children’s bestsellers, and topic words in them were extracted from brief introductions. With the aid of co-occurrence theory and tools of social network analysis and visualization, the distribution, correlation structures, and evolution patterns of topics were revealed and visualized. This study shows that topics of Chinese children’s bestsellers are broad and relatively concentrated, but their distribution is unbalanced. There are four distinguished topic communities (Living, Animal, World, and Child) in terms of centrality and maturity, and they all establish their individual systems and tend to be mature. The evolution of these communities tends to be stable with powerful continuity.

Research on Emotion Recognition and Dementias: Foundations and Prospects

2021 ◽  
pp. 1-12
Author(s):  
Gregorio González-Alcaide ◽  
Mercedes Fernández-Ríos ◽  
Rosa Redolat ◽  
Emilia Serra
Keyword(s):  
Emotion Recognition ◽  
Neurological Disorders ◽  
Web Of Science ◽  
Research Area ◽  
Scientific Output ◽  
Autism Spectrum ◽  
Intellectual Structure ◽  
Clinical Neurology ◽  
Spectrum Disorders ◽  
Cognitive Areas

Background: The study of emotion recognition could be crucial for detecting alterations in certain cognitive areas or as an early sign of neurological disorders. Objective: The main objective of the study is to characterize research development on emotion recognition, identifying the intellectual structure that supports this area of knowledge, and the main lines of research attracting investigators’ interest. Methods: We identified publications on emotion recognition and dementia included in the Web of Science Core Collection, analyzing the scientific output and main disciplines involved in generating knowledge in the area. A co-citation analysis and an analysis of the bibliographic coupling between the retrieved documents elucidated the thematic orientations of the research and the reference works that constitute the foundation for development in the field. Results: A total of 345 documents, with 24,282 bibliographic references between them, were included. This is an emerging research area, attracting the interest of investigators in Neurosciences, Psychology, Clinical Neurology, and Psychiatry, among other disciplines. Four prominent topic areas were identified, linked to frontotemporal dementia, autism spectrum disorders, Alzheimer’s disease, and Parkinson’s and Huntington disease. Many recent papers focus on the detection of mild cognitive impairment. Conclusion: Impaired emotion recognition may be a key sign facilitating the diagnosis and early treatment of different neurodegenerative diseases as well as for triggering the necessary provision of social and family support, explaining the growing research interest in this area.

scholarly journals Mapping the Landscape and Structure of Research on Education for Sustainable Development: A Bibliometric Review

2020 ◽  
Vol 12 (5) ◽  
pp. 1947 ◽  
Author(s):  
Philip Hallinger ◽  
Vien-Thong Nguyen
Keyword(s):  
Sustainable Development ◽  
Knowledge Base ◽  
English Language ◽  
Current Knowledge ◽  
Empirical Studies ◽  
Education For Sustainable Development ◽  
Intellectual Structure ◽  
Geographic Diversification ◽  
The Past ◽  
K 12

This systematic review of research used science mapping as a means of analyzing the knowledge base on education for sustainable development (ESD) in K-12 schooling. The review documented the size, growth trajectory and geographic distribution of this literature, identified high impact scholars and documents, and visualized the “intellectual structure” of the field. The database examined in this review consisted of 1842 English language, Scopus-indexed documents published between 1990 and 2018. The review found that the knowledge base on ESD has grown dramatically over the past 30 years, with a rapidly accelerating rate of publication in the past decade. Although the field has been dominated by scholarship from Anglo-American_European nations, there is evidence of increasing geographic diversification of the ESD knowledge base over the past 15 years. Citation analyses identified authors who have had a significant influence on the development of this literature. Author co-citation analysis revealed three “schools of thought” that comprise the “intellectual structure” of this knowledge base: Education for Sustainable Development, Developing a Sustainability Mindset, Teaching and Learning for Sustainability. Document content analyses led to the conclusion that the current knowledge base is heavily weighted towards critical, descriptive and prescriptive papers, with an insufficient body of analytical empirical studies. Several recommendations are offered for strengthening this literature.

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