scholarly journals Evolution of Scholarly Collaboration in ICIS: A Scientometric Analysis

2021 ◽  
Author(s):  
Yuming He
Keyword(s):  
Scientometric Analysis ◽  
Scholarly Collaboration

All the Faces of Research on Borderline Personality Pathology: Drawing Future Trajectories through a Network and Cluster Analysis of the Literature

2020 ◽  
Vol 20 (2) ◽  
pp. 3-30
Author(s):  
Ilaria M.A. BENZI ◽  
Rossella DI PIERRO ◽  
Pietro DE CARLI ◽  
Ioana Alina CRISTEA ◽  
Pietro CIPRESSO
Keyword(s):  
Developmental Trajectories ◽  
Borderline Personality ◽  
Scientometric Analysis ◽  
Behavioral Regulation ◽  
Comprehensive Overview ◽  
Severe Condition ◽  
Treatment Protocols ◽  
Initial Development ◽  
Cognitive Neurosciences ◽  
And Cluster Analysis

"Borderline Personality Disorder is a severe condition that affects self and interpersonal dimensions and emotional and behavioral regulation. Since the last decades of the 20th century, an impressive amount of research and clinical contributions on BPD came from specific fields such as psychiatry, clinical psychology, psychopharmacology, and, more recently, cognitive neuroscience. All contributions tackled the challenges of finding reliable diagnostic categories, highlighting detailed developmental trajectories, and fostering effective treatment protocols. However, as results come from different areas, it is often challenging to depict a coherent and yet multifaceted framework on this topic. In this study, we conducted a scientometric analysis of the available literature on BPD to provide a systematic and comprehensive overview of research on BPD and emphasize historical changes, intertwining between fields and new areas of investigation. Results clearly show the evolution of research on BPD starting from the initial development of the construct, passing through the studies on treatment efficacy, the results of longitudinal studies, the advances in cognitive neurosciences, and the recent dimensional conceptualization in DSM-5. Moreover, it emphasizes promising areas of investigation, such as the relations of BPD with NSSI, ADHD, and vulnerable features of narcissism."

Network Analysis of the Integration Level of the Universities Participating in Project 5-100 in the International Higher Education Area

2019 ◽  
Vol 28 (11) ◽  
pp. 155-167
Author(s):  
P. A. Zhdanov ◽  
N. A. Polikhina ◽  
E. Yu. Sema ◽  
L. V. Kazimirchik ◽  
I. B. Trostyanskaya ◽  
...  
Keyword(s):  
Higher Education ◽  
Network Analysis ◽  
International Education ◽  
Russian Federation ◽  
Education System ◽  
Point Of View ◽  
International Higher Education ◽  
Scientometric Analysis ◽  
Higher Education System ◽  
The Russian Federation

The paper analyzes measures adopted by the Russian Federation on internationalization and globalization of the higher education system, its integration into the international scientific and education area. One of the initiatives of the authorities of the Russian Federation in this direction is Project 5-100, designed to increase the competitiveness of both a selected group of universities and the Russian higher education system as a whole. Among the successful practices of Project 5-100, one can identify the presentation of a single stand of participating universities at the international education exhibitions APAIE, EAIE, NAFSA. Within this study, we explore the cooperation of the universities participating in Project 5-100 with potential international partners at global educational exhibitions by means of network analysis with graphs. The effectiveness of such cooperation from the point of view of integration of the universities from this group into the international higher education area is determined through estimations of the usefulness of participation in such events made by the universities and through scientometric analysis. As a result of this study, it was revealed that active participation in international educational exhibitions including negotiating, establishing contacts with international partners, contributes significantly to the promotion of the universities participating in Project 5-100 in the international arena.

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.

Questions to the Article of research output and international cooperation among countries during the COVID-19 pandemic (Preprint)

2020 ◽  
Author(s):  
Shu-Chun Kuo ◽  
Tsair-Wei Chien ◽  
Willy Chou
Keyword(s):  
Citation Analysis ◽  
International Cooperation ◽  
Web Of Science ◽  
Research Output ◽  
Visual Representations ◽  
Scientometric Analysis ◽  
Medical Subject Headings ◽  
Pubmed Central ◽  
The Us ◽  
Circle Diagram

UNSTRUCTURED We read with great interest the study by Grammes et al. on research output and international cooperation among countries during the COVID-19 pandemic. The paper is a quantitative study using scientometric analysis instead of a qualitative research using citation analysis. A total of 7,185 publications were extracted from Web of Science Core Collection (WoS) with keywords of “covid19 OR covid-19 OR sarscov2 OR sars-cov-2” as of July 4, 2020. We replicated a citation analysis study to extract abstracts from Pubmed Central(PMC) with similar keywords mentioned above and obtained 35,421 articles relevant to COVID-10 matching their corresponding number of citation in PMC. one hundred top-cited atricles were selected and compared on diagrams. Social network analysis combined with citation numbers in articles was performed to analyze international cooperation among countries. The results were shown on a world map instead of the circle diagram in the previous study. A Sankey diagram was applied to highlight entities(e.g., countries, article types, medical subject headings, and journals) with the most citations. Authors from Chian dominated citations in these 100 top-cited articles rather than the US in publications addressed in the previous study. Both visual representations of the world map and Sankey diagram were provided to readers with a better understanding of the research output and international cooperation among countries during the COVID-19 pandemic

scholarly journals Clinical trial registries as Scientometric data: A novel solution for linking and deduplicating clinical trials from multiple registries

2021 ◽  
Author(s):  
Christian Thiele ◽  
Gerrit Hirschfeld ◽  
Ruth von Brachel
Keyword(s):  
Clinical Trials ◽  
Random Forest ◽  
Random Forest Model ◽  
Scientometric Analysis ◽  
Data Set ◽  
The Public ◽  
Forest Model ◽  
Clinical Trial Registries ◽  
Multiple Primary ◽  
Clinical Trials Registry

AbstractRegistries of clinical trials are a potential source for scientometric analysis of medical research and serve important functions for the research community and the public at large. Clinical trials that recruit patients in Germany are usually registered in the German Clinical Trials Register (DRKS) or in international registries such as ClinicalTrials.gov. Furthermore, the International Clinical Trials Registry Platform (ICTRP) aggregates trials from multiple primary registries. We queried the DRKS, ClinicalTrials.gov, and the ICTRP for trials with a recruiting location in Germany. Trials that were registered in multiple registries were linked using the primary and secondary identifiers and a Random Forest model based on various similarity metrics. We identified 35,912 trials that were conducted in Germany. The majority of the trials was registered in multiple databases. 32,106 trials were linked using primary IDs, 26 were linked using a Random Forest model, and 10,537 internal duplicates on ICTRP were identified using the Random Forest model after finding pairs with matching primary or secondary IDs. In cross-validation, the Random Forest increased the F1-score from 96.4% to 97.1% compared to a linkage based solely on secondary IDs on a manually labelled data set. 28% of all trials were registered in the German DRKS. 54% of the trials on ClinicalTrials.gov, 43% of the trials on the DRKS and 56% of the trials on the ICTRP were pre-registered. The ratio of pre-registered studies and the ratio of studies that are registered in the DRKS increased over time.

scholarly journals Effect of Short Fiber Reinforcements on Fracture Performance of Cement-Based Materials: A Systematic Review Approach

Materials ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1745
Author(s):  
Waqas Ahmad ◽  
Mehran Khan ◽  
Piotr Smarzewski
Keyword(s):  
Graphical Representation ◽  
Safety Evaluation ◽  
Short Fiber ◽  
Research Trend ◽  
Scientometric Analysis ◽  
Fiber Reinforced ◽  
Factors Affecting ◽  
Fracture Properties ◽  
Cement Based Materials ◽  
Relevant Publication

Fracture characteristics were used to effectively evaluate the performance of fiber-reinforced cementitious composites. The fracture parameters provided the basis for crack stability analysis, service performance, safety evaluation, and protection. Much research has been carried out in the proposed study field over the previous two decades. Therefore, it was required to analyze the research trend from the available bibliometric data. In this study, the scientometric analysis and science mapping techniques were performed along with a comprehensive discussion to identify the relevant publication field, highly used keywords, most active authors, most cited articles, and regions with largest impact on the field of fracture properties of cement-based materials (CBMs). Furthermore, the characteristic of various fibers such as steel, polymeric, inorganic, and carbon fibers are discussed, and the factors affecting the fracture properties of fiber-reinforced CBMs (FRCBMs) are reviewed. In addition, future gaps are identified. The graphical representation based on the scientometric review could be helpful for research scholars from different countries in developing research cooperation, creating joint ventures, and exchanging innovative technologies and ideas.

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