• Title/Summary/Keyword: citation frequency

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Provision of efficient online information for agricultural biotechnology

  • Lee, Bumkyu;Kim, Jong Mi
    • Korean Journal of Agricultural Science
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    • v.47 no.2
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    • pp.239-253
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    • 2020
  • This study identified consumer perceptions of biotechnology crops, provided the types and sources of information on agricultural biotech that consumers demand, and derived effective methods of providing agricultural biotech information by analyzing problems and improving the information available online regarding agricultural biotech. The analysis of sources of information on agricultural biotech showed that there were differences between preference and reliability. Respondents preferred the Internet (47.6%) and TV (36.3%), while they relied on TV (36.3%) the most, followed by the Internet (26.6%), and academic papers and technical books (23.1%). Only 27.1% of the respondents answered that they collect information on agricultural biotech proactively. The higher frequency of information collection indicated a higher satisfaction rate with the information that was being collected. Survey results for the websites that respondents preferred and relied on to collect information were that the most preferred websites were web portals (53.4%), while reliability rates across the various types of websites were relatively even: web portals (28.4%), academic institution websites (19.1%), and websites that provide professional information (18.2%). Surveys that examined factors that were important in choosing the websites for collecting information on biotech indicated that factors such as "Providing verified data and citation" and "Providing objectivity" were the most important. Examining the preferences and factors of preference by content type showed that the demand for visual aids, such as photos, tables, graphs, and videos, was high, and there were statistically significant differences between the factors of preference by content type.

Review of Trends in Wind Energy Research Publications in Journal of the Korean Solar Energy Society (태양에너지학회 논문집의 풍력에너지 연구동향 분석)

  • Kim, Hyun-Goo
    • Journal of the Korean Solar Energy Society
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    • v.40 no.4
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    • pp.1-11
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    • 2020
  • The Journal of the Korean Solar Energy Society is the first journal in South Korea that adopts wind energy as one of its subjects. Since 2000, more than 140 papers on wind energy have been published in the journal, which accounts for 8.5% of the total publication. However, in recent years, the number of published papers on wind energy has been decreasing steadily, and a reason for this decline is the significant dependence on a few specific institutions and authors. In this study, wind energy subjects were classified using the frequency analysis of the subject words extracted from the title, keywords, and abstract of wind energy papers using the text mining technique. In addition, the Korea Citation Index was used to perform quantitative level evaluation by subject and institution and to analyze the trends and characteristics of the wind energy field. Therefore, it was identified that in terms of the number of publications and citations, the main subject areas were resource/micrositing and policy/potential.

Research Trends of Studies Related to the Nature of Science in Korea Using Semantic Network Analysis (언어 네트워크 분석을 이용한 과학의 본성에 관한 국내연구 동향)

  • Lee, Sang-Gyun
    • Journal of the Korean Society of Earth Science Education
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    • v.9 no.1
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    • pp.65-87
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    • 2016
  • The purpose of this study is to examine Korean journals related to science education in order to analyze research trends into Nature of science in Korea. The subject of the study is the level of Korean Citation Index (KCI-listed, KCI listing candidates), that can be searched by the key phrase, "Nature of science" in Korean language through the RISS service. In this study, the Descriptive Statistical Analysis Method is utilized to discover the number of research articles, classifying them by year and by journal. Also, the Sementic Network Analysis was conducted to Word Cloud Analysis the frequency of key words, Centrality Analysis, co-occurrence and Cluster Dendrogram Analysis throughout a variety of research articles. The results show that 91 research papers were published in 25 journals from 1991 to 2015. Specifically, the 2 major journals published more than 50% of the total papers. In relation to research fields., In addition, key phrases, such as 'Analysis', 'recognition', 'lessons', 'science textbook', 'History of Science' and 'influence' are the most frequently used among the research studies. Finally, there are small language networks that appear concurrently as below: [Nature of science - high school student - recognize], [Explicit - lesson - effect], [elementary school - science textbook - analysis]. Research topic have been gradually diversified. However, many studies still put their focus on analysis and research aspects, and there have been little research on the Teaching and learning methods.

Falls in Patients of Medical Institutions in South Korea: A Literature Review

  • Jongwon Choi;Woochol Joseph Choi
    • Physical Therapy Korea
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    • v.30 no.1
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    • pp.1-7
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    • 2023
  • Background: Like many other countries, falls and related injuries in older adults are great concerns in South Korea. In particular, falls are common in medical institutions, often causing the increase of the length of hospitalization. Objects: The purpose of this review was to help understand and address falls in hospitalized individuals in South Korea. Methods: The review was conducted on literature published in Korean from 2010 to 2022, searched in the Korea Citation Index and PubMed. Keywords used for the search were as follows: falls, fall risk, fall risk assessment, hospital, inpatient, intervention, Korea, and prevention. Results: A total of 54 articles were found and reviewed. The most common place of fall accidents was the inpatient room, where there were many cases of falls while walking. Loss of balance was the most common cause of falls, and many falls occurred in patients admitted to the internal medicine. Furthermore, a risk of falling increased with the type of medications taken. In terms of tools to assess patients' fall risk, the Morse Fall Scale (MFS) was commonly used. Patient-specific fall prevention activities were common to address falls, and they decreased the frequency of falls and the fear of falling. Factors influencing the effectiveness of the fall prevention activities included attitudes toward falls, education, environmental factors, patient safety culture, and self-efficacy in preventing falls. Conclusion: Our results should help understand and address falls and injuries in medical institutions.

Development of Performance Analysis Model for SMEs through Meta-Analysis

  • Heon-Wook Lim
    • International Journal of Advanced Culture Technology
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    • v.11 no.1
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    • pp.171-180
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    • 2023
  • This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

The Legacy Goes on: Ethnobotanical Knowledge of Uzbekistan Koryoin (ethnic Koreans)

  • Aleksey L. Kim;Hyeon Jin Jeong;Ju Eun Jang;Hyeok Jae Choi;Chang-Gee Jang;Hee-Young Gil
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2022.09a
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    • pp.48-48
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    • 2022
  • Ethnobotany is an interdisciplinary science at the intersection of botany and ethnology. Currently, there is a sharply increasing need for the study and conservation of traditional knowledge about plants. The loss of traditional sources, knowledge, and practices in using plants is caused by the growth of technologies in all branches of production, widespread urbanization, and globalization of the economy. This study was been conducted to collect and analyze the Koryoins (Koryo saram) traditional ethnobotanical knowledge, living in Uzbekistan, whose number 174,200 people. They are the descendants of Korean immigrants to the Russian Far East, who ended up in Central Asia as a result of the forced resettlement in 1937. In the processing of collected data, four main categories of uses were defined - Alimentary, Medicinal, Household/Handicraft, and Others. For quantitative data analysis, synthetic indices were used - RFC (Relative Frequency of Citation) and CI (Cultural Importance Index), which are commonly applied to assess the importance of plants. The respondents mentioned 72 plants belonging to 28 botanical families. A significant part of them was cultivar plants. The category that had the largest number of plants mentioned by the respondents was the Alimentary use category (51). According to quantitative indices rates, the most important plants are traditionally used for food. A comparison of ethnobotanical knowledge was made with the collected data of this study and Korean traditional knowledge.

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Research Trend Analysis Using Bibliographic Information and Citations of Cloud Computing Articles: Application of Social Network Analysis (클라우드 컴퓨팅 관련 논문의 서지정보 및 인용정보를 활용한 연구 동향 분석: 사회 네트워크 분석의 활용)

  • Kim, Dongsung;Kim, Jongwoo
    • Journal of Intelligence and Information Systems
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    • v.20 no.1
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    • pp.195-211
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    • 2014
  • Cloud computing services provide IT resources as services on demand. This is considered a key concept, which will lead a shift from an ownership-based paradigm to a new pay-for-use paradigm, which can reduce the fixed cost for IT resources, and improve flexibility and scalability. As IT services, cloud services have evolved from early similar computing concepts such as network computing, utility computing, server-based computing, and grid computing. So research into cloud computing is highly related to and combined with various relevant computing research areas. To seek promising research issues and topics in cloud computing, it is necessary to understand the research trends in cloud computing more comprehensively. In this study, we collect bibliographic information and citation information for cloud computing related research papers published in major international journals from 1994 to 2012, and analyzes macroscopic trends and network changes to citation relationships among papers and the co-occurrence relationships of key words by utilizing social network analysis measures. Through the analysis, we can identify the relationships and connections among research topics in cloud computing related areas, and highlight new potential research topics. In addition, we visualize dynamic changes of research topics relating to cloud computing using a proposed cloud computing "research trend map." A research trend map visualizes positions of research topics in two-dimensional space. Frequencies of key words (X-axis) and the rates of increase in the degree centrality of key words (Y-axis) are used as the two dimensions of the research trend map. Based on the values of the two dimensions, the two dimensional space of a research map is divided into four areas: maturation, growth, promising, and decline. An area with high keyword frequency, but low rates of increase of degree centrality is defined as a mature technology area; the area where both keyword frequency and the increase rate of degree centrality are high is defined as a growth technology area; the area where the keyword frequency is low, but the rate of increase in the degree centrality is high is defined as a promising technology area; and the area where both keyword frequency and the rate of degree centrality are low is defined as a declining technology area. Based on this method, cloud computing research trend maps make it possible to easily grasp the main research trends in cloud computing, and to explain the evolution of research topics. According to the results of an analysis of citation relationships, research papers on security, distributed processing, and optical networking for cloud computing are on the top based on the page-rank measure. From the analysis of key words in research papers, cloud computing and grid computing showed high centrality in 2009, and key words dealing with main elemental technologies such as data outsourcing, error detection methods, and infrastructure construction showed high centrality in 2010~2011. In 2012, security, virtualization, and resource management showed high centrality. Moreover, it was found that the interest in the technical issues of cloud computing increases gradually. From annual cloud computing research trend maps, it was verified that security is located in the promising area, virtualization has moved from the promising area to the growth area, and grid computing and distributed system has moved to the declining area. The study results indicate that distributed systems and grid computing received a lot of attention as similar computing paradigms in the early stage of cloud computing research. The early stage of cloud computing was a period focused on understanding and investigating cloud computing as an emergent technology, linking to relevant established computing concepts. After the early stage, security and virtualization technologies became main issues in cloud computing, which is reflected in the movement of security and virtualization technologies from the promising area to the growth area in the cloud computing research trend maps. Moreover, this study revealed that current research in cloud computing has rapidly transferred from a focus on technical issues to for a focus on application issues, such as SLAs (Service Level Agreements).

Investigating Trends of Gifted Counseling in Domestic through Sementic Network Analysis (네트워크분석 방법을 활용한 국내 영재상담 관련 연구동향 분석)

  • Lee, Sanggyun;Kim, Soonshik
    • Journal of the Korean Society of Earth Science Education
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    • v.11 no.2
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    • pp.145-157
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    • 2018
  • The purpose of this study is to analyze the research trends in domestic related to gifted counseling by utilizing Sementic analysis methods. For papers of gifted education in korea, KCI(Korea Citation Index) rated journals were selected 83 pieces published in journals were collected and the Sementic Network Analysis(SNA) way was utilizing for keyword frequency and Centrality Network Analysis throughout a variety of research articles using krkwic and Ucinet6.0. The results are as follows. first, the analysis appeared that the trends of paper keywords from highest frequency of appearance keyword in papers focused on four keywords: perfectionism, career, counseling, and the science gifted. second, Analysis of annual trends from 2001 to June 2018 showed that the top keywords were as follows: the gifted underachievers, the perfectionism, the gifted students of Science, and the science gifted students. the rising keywords were perfectionism, twice-exceptional students, and gifted parents, and the keywords of gifted students and general students showed a tendency to decrease. Consequently, gifted counseling research should be done from various perspectives.

Analysis of Research Trends on Archival Information Services Using Text Mining (텍스트마이닝을 활용한 국내외 기록서비스 연구동향 분석)

  • Seohee Park;Hye-Eun Lee
    • Journal of Korean Society of Archives and Records Management
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    • v.24 no.1
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    • pp.89-109
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    • 2024
  • The study analyzed the research trends of domestic and international record information services from 2003 to 2022. A total of 136 academic papers registered in the Korea Citation Index (KCI) and 74 from the Library, Information Science & Technology Abstracts (LISTA) were examined by quantitative and qualitative content analysis to understand the research status of 20 years from various angles, such as publication year, research type, researcher type, subject, and purpose. Frequency analysis, co-occurrence frequency analysis, centrality analysis, and topic modeling were performed by applying text mining techniques. Results showed that domestic papers demonstrated a research flow focused on specific institutions or records, and user-centered satisfaction surveys and content-centered studies were conducted. Moreover, foreign papers confirmed various evaluation-oriented and information provision studies, such as data, resources, and collections, along with the research trend focusing on the relationship between archivists and users. The management of information resources was identified as a common topic in both domestic and foreign papers, but it is possible to identify that domestic research focuses on maintaining the quality of domestic information resources, while foreign research focuses on the storage and retrieval of information.

Time Series Analysis of Intellectual Structure and Research Trend Changes in the Field of Library and Information Science: 2003 to 2017 (문헌정보학 분야의 지적구조 및 연구 동향 변화에 대한 시계열 분석: 2003년부터 2017년까지)

  • Choi, Hyung Wook;Choi, Ye-Jin;Nam, So-Yeon
    • Journal of the Korean Society for information Management
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    • v.35 no.2
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    • pp.89-114
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    • 2018
  • Research on changes in research trends in academic disciplines is a method that enables observation of not only the detailed research subject and structure of the field but also the state of change in the flow of time. Therefore, in this study, in order to observe the changes of research trend in library and information science field in Korea, co-word analysis was conducted with Korean author keywords from three types of journals which were listed in the Korea Citation Index(KCI) and have top citation impact factor were selected. For the time series analysis, the 15-year research period was accumulated in 5-years units, and divided into 2003~2007, 2003~2012, and 2003~2017. The keywords which limited to the frequency of appearance 10 or more, respectively, were analyzed and visualized. As a result of the analysis, during the period from 2003 to 2007, the intellectual structure composed with 25 keywords and 8 areas was confirmed, and during the period from 2003 to 2012, the structure composed by 3 areas 17 sub-areas with 76 keywords was confirmed. Also, the intellectual structure during the period from 2003 to 2017 was crowded into 6 areas 32 consisting of a total of 132 keywords. As a result of comprehensive period analysis, in the field of library and information science in Korea, over the past 15 years, new keywords have been added for each period, and detailed topics have also been subdivided and gradually segmented and expanded.