• Title/Summary/Keyword: Scientometric

Search Result 62, Processing Time 0.023 seconds

Experimental Studies on the Anti-inflammatory Effect of Cannabis sativa based on a Scientometric Analysis

  • Eunsoo Sohn;Sung Hyeok Kim;Sohee Jang;Se-Hui Jung;Kooyeon Lee;Eun-Hwa Sohn
    • Proceedings of the Plant Resources Society of Korea Conference
    • /
    • 2021.04a
    • /
    • pp.45-45
    • /
    • 2021
  • This study aimed to explore research on bibliometric features of cannabis by applying scientometric analysis method, and to approach experimental research evaluation based on it. A total of 30,352 articles on cannabis published since 2001 from SCOPUS were analyzed using KnowledgeMatrix Plus and VOSviewer software. Results showed differences in research activities in countries where cannabis is legalized (Canada, the United States, the Netherlands) and Asian countries where its use is illegal. Related to medical cannabis, there has been a noticeable increase in the number of studies on pain, epilepsy, seizures and brain diseases such as multiple sclerosis. In the field of basic research, the number of pharmacological studies of cannabis on the cannabinoid type 1 receptor signaling pathway and inflammation and obesity has increased significantly. Subsequent experimental studies have compared the anti-inflammatory effects of four parts of Korean cannabis such as root, stem, leaf, and bark. Consistent with the predicted results of the scientometric analysis, all parts of C. sativa showed inhibitory effects on COX-2, NO/iNOS and TNF-α expression in LPS-stimulated RAW264.7 cells. These attempts provide an experimental research approach based on scientometric assessment.

  • PDF

A Scientometric Analysis of 20 Years of Research on Breast Reconstruction Surgery: A Guide for Research Design and Journal Selection

  • Moghimi, Mehrdad;Fathi, Mehdi;Marashi, Ali;Kamani, Freshteh;Habibi, Gholamreza;Hirbod-Mobarakeh, Armin;Ghaemi, Marjan;Hosseinian-Sarajehlou, Mahdi
    • Archives of Plastic Surgery
    • /
    • v.40 no.2
    • /
    • pp.109-115
    • /
    • 2013
  • Background Breast reconstruction refers to the rebuilding of a woman's breast using autologous tissue or prosthetic material to form a natural-looking breast. It is increasingly offered to women undergoing mastectomy for breast cancer. However, there is no systematic analysis available for the expanding area of research on breast reconstruction. Methods A bibliometric method was used to obtain a view of the scientific production about breast reconstruction by data extracted from the Institute for Scientific Information (ISI). Specific parameters were retrieved from the ISI. Articles about breast reconstruction were analyzed to obtain a view of the topic's structure, history, and document relationships using HistCite software. Trends in the most influential publications and authors were analyzed. Results The number of articles was constantly increasing. Most highly cited articles described the methods of flap construction in the surgery. Other highly cited articles discussed the psychological or emotional aspects of breast reconstruction, skin sparing mastectomy, and breast reconstruction in the irradiated breast. Conclusions This was the first breast reconstruction scientometric analysis, representing the characteristics of papers and the trends of scientific production. A constant increase in the number of breast reconstruction papers and also the increasing number of citations shows that there is an increasing interest in this area of medical science. It seems that most of the research in this field is focused on the technical aspects of surgery.

Scientometric Analysis of Autonomous Vehicle through Paper Analysis of each Organization and Author (기관별·개인별 논문 분석을 통한 자율주행 자동차의 계량정보 분석)

  • Park, Jong-Kyu;Choi, Jeong-Dan;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.8 no.2
    • /
    • pp.329-337
    • /
    • 2013
  • In this paper, we review scientometric analysis through paper analysis of each organization and author to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using number of papers. Analysis of Index Level, International Cooperation Research Network, Analysis of Key and Q-L distribution according to each organization and author.

Scientometric Analysis of Autonomous Vehicle through Paper Analysis of each Nation (국가별 논문 분석을 통한 자율주행 자동차의 계량정보 분석)

  • Park, Jong-Kyu;Choi, Jeong-Dan;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.8 no.2
    • /
    • pp.321-328
    • /
    • 2013
  • In this paper, we review scientometric analysis through paper analysis of an each nation to decide research direction for autonomous driving vehicles. We confirms research trend of autonomous driving vehicle by using Analysis of Index Level, International Cooperation Research Network, Analysis of Key of Nations according to an each nation.

Scientometric Analysis for Pilot Study of Smart Grid (스마트 그리드 예비 연구를 위한 계량정보분석)

  • Park, Jong-Kyu;Bae, Young-Chul
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.7 no.1
    • /
    • pp.97-105
    • /
    • 2012
  • In order to avoid duplication in patents, papers and research subjects, many researchers have to review previous research work and patents with various methods. To reduce the our efforts in preview of research work, in this paper, we present scientometric analysis including Analysis of Index Level, International Cooperation Research Network, Analysis of Key Organizations and their Authors to help researchers to avoid duplication problems in field of smart grid.

Identification of Emerging Research at the national level: Scientometric Approach using Scopus (국가적 차원의 유망연구영역 탐색: Scopus 데이터베이스를 이용한 과학계량학적 접근)

  • Yeo, Woon-Dong;Sohn, Eun-Soo;Jung, Eui-Seob;Lee, Chang-Hoan
    • Journal of Information Management
    • /
    • v.39 no.3
    • /
    • pp.95-113
    • /
    • 2008
  • In todays environment in which scientific technologies are changing very fast than ever, companies have to monitor and search emerging technologies to gain competitiveness. Actually many nations try to do that. Most of them use Dephi approach based on experts review as a searching method. But experts review has been criticised for probability of inclination and its derivative problems in the sense that it is accomplished only by expert's subjectivity. To overcome such problems, we used Scientometric Method for identifying emerging technology that had been done by Delphi as a rule. We made three particular efforts in order to improve the Quality of the result. Firstly, we selected one alternative database between SCI and Scopus hoping to see evenly-distributing results in wide fields on the front burner. Secondly we used Fractional citation counting in counting citation number in the stage of linear regression analysis. Lastly, we verified Scientometric result with experts opinions to minimize probable errors in a Scientometric research. As a result, we derived 290 emerging technologies from Scientometric analysis with Scopus Database, and visualized them on 2-dimension map with data mining system named KnowledgeMatrix which was developed by KISTI.

Scientometric Analysis for Internet of Things of Service Concentration and Smart Device of Next-Generation (서비스 중심의 IoT와 차세대 Smart Device에 대한 계량 정보 분석)

  • Shon, Young-Woo
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.10 no.6
    • /
    • pp.721-728
    • /
    • 2015
  • IOT has evolved from the internet for human oriented, therefore our life is more advanced growth smartly. IoT is the network of physical objects or things embedded with electronics, software, sensors and connectivity to enable it to achieve greater value and service by exchanging data with the manufacturer, operator or other connected devices. Until now many researches have been studied for centering keyword for detecting emerging technology of future and scientometric analysis among the papers. This paper propose searching method of emerging technology for the IOT (internet of things) and smart device which are recently interesting area via dynamic analysis for keyword mapping.

Identification of Research Areas and Evolution of 2D Materials by the Keyword Mapping Methodology (키워드 매핑 기반 2차원 물질 연구 영역 탐지와 발전 과정 분석)

  • Ahn, Sejung;Lee, June Young
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
    • /
    • v.31 no.1
    • /
    • pp.11-18
    • /
    • 2018
  • Two-dimensional (2D) materials such as transition metal dichalcogenides have attracted tremendous scientific interests owing to their potential of solving the zero band-gap issue of graphene. In this work, the research areas and technology evolutionary dynamics of the 2D materials were identified using the scientometric method focusing on keyword mapping and clustering. The time-series analysis showed that the technological progress of 2D material is in the early growth period. The overlay mapping analysis were carried out to investigate the technology evolution of 2D materials with time. The strategic diagram of co-word analysis classifying the topological positions of keyword was derived to support the analysis results. It is conjectured that extensive research will be conducted widely on the application of 2D materials not only in electronic and optoelectronic devices, but also in various other fields such as biomedical applications, and that their development will be more rapid based on accumulated results of extant graphene research.

Review for Assessment Methodology of Disaster Prevention Performance using Scientometric Analysis (계량정보 분석을 활용한 방재성능평가 방법에 대한 고찰)

  • Dong Hyun Kim;Hyung Ju Yoo;Seung Oh Lee
    • Journal of Korean Society of Disaster and Security
    • /
    • v.15 no.4
    • /
    • pp.39-46
    • /
    • 2022
  • The rainfall characteristics such as heavy rains are changing differently from the past, and uncertainties are also greatly increasing due to climate change. In addition, urban development and population concentration are aggravating flood damage. Since the causes of urban inundation are generally complex, it is very important to establish an appropriate flood prevention plan. Thus, the government in Korea is establishing standards for disaster prevention performance for each local government. Since the concept of the disaster prevention performance target was first presented in 2010, the setting standards have changed several times, but the overall technology, methodology, and procedures have been maintained. Therefore, in this study, studies and technologies related to urban disaster prevention performance were reviewed using the scientometric analysis method to review them. This analysis is a method of identifying trends in the field and deriving new knowledge and information based on data such as papers and literature. In this study, papers related to the disaster prevention performance of the Web of Science for the last 30 years from 1990 to 2021 were collected. Citespace, scientometric software, was used to identify authors, research institutes, countries, and research trends, including citation analysis. As a result of the analysis, consideration factors such as the the concept of asset evaluation were identified when making decisions related to urban disaster prevention performance. In the future, it is expected that prevention performance standards and procedures can be upgraded if the keywords are specified and the review of each technology is conducted.

Global Tribology Research Output (1998 - 2012): A Macro Level Scientometric Study

  • Elango, B.;Rajendran, P.
    • Journal of Information Science Theory and Practice
    • /
    • v.3 no.4
    • /
    • pp.35-48
    • /
    • 2015
  • The aim of this study is to compare country output and citation impact as well as to assess the level of interdisciplinarity in the field of tribology research during the period 1998-2012, based on the SCOPUS database. Macro-level scientometric indicators such as growth rate, share of international collaborative papers, citation per paper, share of un-cited papers, and publication efficiency index were employed. Further, the Simpson Index of Diversity was used to measure the level of interdisciplinarity. The performance of top countries contributing more than 1000 papers during the study period was discussed. Contributions and share of continents and countries by income groups were examined. Further research contributions and citation impact of selected country groups were analyzed. This study reveals that high levels of interdisciplinarity exist in tribology research. Asia outperforms the other world regions and China contributes most of the papers (25%), while the United States receives most of the citations (22%).