• Title/Summary/Keyword: Articles analysis

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Growth Analysis of Cancer Biology Research, 2000-2011

  • Keshava,;Thimmaiah, B. N.;Agadi, K. B.
    • Journal of Information Science Theory and Practice
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    • v.3 no.3
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    • pp.75-80
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    • 2015
  • Methods and Material: The PubMed database was used for retrieving data on 'cancer biology.' Articles were downloaded from the years 2000 to 2011. The articles were classified chronologically and transferred to a spreadsheet application for analysis of the data as per the objectives of the study. Statistical Method: To investigate the nature of growth of articles via exponential, linear, and logistics tests. Result: The year wise analysis of the growth of articles output shows that for the years 2000 to 2005 and later there is a sudden increase in output, during the years 2006 to 2007 and 2008 to 2011. The high productivity of articles during these years may be due to their significance in cancer biology literature, having received prominence in research. Conclusion: There is an obvious need for better compilations of statistics on numbers of publications in the years from 2000 to 2011 on various disciplines on a worldwide scale, for informed critical assessments of the amount of new knowledge contributed by these publications, and for enhancements and refinements of present Scientometric techniques (citation and publication counts), so that valid measures of knowledge growth may be obtained. Only then will Scientometrics be able to provide accurate, useful descriptions and predictions of knowledge growth.

Content Analysis of Dietary Lifestyle-Related Resreach Articles from 1990 to 2009 (내용분석에 의한 식생활 라이프스타일 관련 연구논문의 동향: 1990~2009년 발표된 식생활 라이프스타일과 관련된 학술지 게재 논문 분석)

  • Hong, Wan-Soo;Kwon, Yong-Suk;Kwon, Yong-Min;Yoo, Hye-Kyung
    • Journal of the Korean Home Economics Association
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    • v.49 no.2
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    • pp.13-26
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    • 2011
  • The purpose of this study was to analyze the trend of dietary lifestyle-related research articles during the period from 1990 to 2009. A total of 44 articles were identified and subjected to content analysis. Article content was coded according to subject of study, age of respondents, sample size, type of sample, statistical methods used and location of study. The most important type of content category was the study subject, and this was subdivided into research related to 1) dietary pattern, 2) health, 3) dining spaces, 4) foods, 5) restaurant/institutional foodservices, and 6) beverage-related topics. The most common subject was restaurant/institutional foodservice-related research (59.1% of articles), followed by beverage-related research (20.5%). These two subjects accounted for approximately 80% of all the 44 articles reviewed.

Content Analysis of the Articles of the Overseas Local Newspapers on the Culture Contents of Korea, China, and Japan -Focusing on Malaysia, Singapore, Mongolia, Uzbekistan, and Spain- (해외 현지신문의 한·중·일 문화콘텐츠 관련 기사의 내용분석 연구 -말레이시아, 싱가폴, 몽골, 우즈베키스탄, 스페인을 중심으로-)

  • Ahn, Cheunsoon;Narantuya, Lkhagva
    • Journal of the Korean Society of Clothing and Textiles
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    • v.40 no.6
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    • pp.1100-1115
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    • 2016
  • This research investigated the relative influence of culture contents from Korea, China, and Japan published in the internet version of local newspapers for Malaysia, Mongolia, Uzbekistan, and Spain (from January 2010 to December 2014) and from Singapore (January 2012 to December 2014) using content analysis focused on the frequency distribution of newspaper content. 'Food' showed the highest appearance frequency of the 11 culture contents investigated in the study. Among the articles related to Korea, 'Pop Music' showed the highest frequency for Malaysia, Uzbekistan, and Spain and 'Star' showed the highest frequency for Singapore and Mongolia. Among the Hallyu related contents, 'Pop Music' showed the highest frequency followed by 'Star', 'Movie', and 'Drama'. Articles related to Korea showed a significantly higher frequency than articles related to China and Japan in 'Pop Music' and 'Star' categories. Spain showed articles related to Korea only in the 'Pop Music' category.

Influencing Factors on Nurse's Intention to Stay: Systematic Review and Meta Correlation Analysis (체계적 문헌고찰과 메타상관분석을 이용한 간호사 재직의도 영향요인 고찰)

  • Lim, Ji Young;Shin, Jeong Ae;Kim, Seulki;Lee, Eunmi;Kim, Seonhee
    • Journal of Home Health Care Nursing
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    • v.26 no.3
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    • pp.265-277
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    • 2019
  • Purpose: This study was performed to explore research trends in the intention to stay of hospital nurses and provide basic data to establish nursing management strategies to increase the intention to stay. Methods: Articles published between 2009 and 2018 were searched. The search terminologies were "intention to stay," "nurse", and "hospital". In the first search, 381 articles were extracted from academic databases. Thirty articles were used in the systematic review, and 29 articles were used in the correlation meta-analysis. Results: Thirty-two variables were explored in relation to the intention to stay. In the correlation analysis, job satisfaction and work environment showed statistically significant positive correlations in many studies. In the correlation meta-analysis, 7 variables including organizational commitment showed statistically significant effect sizes. Conclusion: We suggest that structural equation model analysis to identify causal relations among influencing variables of the intention to stay of hospital nurses may be conducted. This study can be used as a guideline to develop intention-to-stay enhancement programs for hospital nurses.

Analysis of Koryo medicine research: clinical medicine topics in Koryo medicine

  • Eunhee Yi;Hanul Kim;Dongsu Kim
    • The Journal of Korean Medicine
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    • v.44 no.4
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    • pp.14-25
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    • 2023
  • Objectives: South Korea, the United States, and the United Nations have imposed extensive economic sanctions against North Korea, which increased the use of traditional Korean medicine in North Korea to maintain its national health care system. This study attempts to study the latest trends of traditional Korean medicine research through bibliographic analysis of one of the North Korean medical journals. It will then provide insights into how traditional Korean medicine is used in North Korea. Methods: This study is based on 611 clinical research articles out of 931 articles extracted from 13 volumes of Koryo Medicine (2016 ~ 2019). The articles were classified according to the researched treatment, diseases and use alongside conventional drugs. Results: Based on the analysis of Koryo Medicine, the proportion of clinical research articles investigating the treatment effects was very high (65.6%). Also, clinical research using herbal medicine as treatment was the most common, accounting for 17.69% of the total. Some of the clinical research in Koryo Medicine were conducted in tandem with conventional drug treatment, especially on acupuncture. Conclusion: This study conducted a bibliographic analysis of Koryo Medicine to understand the current status of traditional Korean medicine within North Korea. The analysis identified main diseases, treatment methods, and integration with conventional drugs in the clinical research of traditional Korean medicine. As a country actively seeking to use traditional Korean medicine, North Korea will become an interesting field of global traditional medicine and complementary medicine research.

Hierarchical and Incremental Clustering for Semi Real-time Issue Analysis on News Articles (준 실시간 뉴스 이슈 분석을 위한 계층적·점증적 군집화)

  • Kim, Hoyong;Lee, SeungWoo;Jang, Hong-Jun;Seo, DongMin
    • The Journal of the Korea Contents Association
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    • v.20 no.6
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    • pp.556-578
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    • 2020
  • There are many different researches about how to analyze issues based on real-time news streams. But, there are few researches which analyze issues hierarchically from news articles and even a previous research of hierarchical issue analysis make clustering speed slower as the increment of news articles. In this paper, we propose a hierarchical and incremental clustering for semi real-time issue analysis on news articles. We trained siamese neural network based weighted cosine similarity model, applied this model to k-means algorithm which is used to make word clusters and converted news articles to document vectors by using these word clusters. Finally, we initialized an issue cluster tree from document vectors, updated this tree whenever news articles happen, and analyzed issues in semi real-time. Through the experiment and evaluation, we showed that up to about 0.26 performance has been improved in terms of NMI. Also, in terms of speed of incremental clustering, we also showed about 10 times faster than before.

Topic Analysis Using Big Data Related to 'Blockchain usage': Focused on Newspaper Articles ('블록체인 활용' 관련 빅데이터를 활용한 토픽 분석: 신문기사를 중심으로)

  • Kim, Sungae;Jun, Soojin
    • Journal of Industrial Convergence
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    • v.18 no.1
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    • pp.73-78
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    • 2020
  • To analyze the main topics related to the use of blockchain technology, the Topic Modeling Technique was applied to the 'Blockchain Technology Utilization' big data shown in newspaper articles. To this end, from 2013 to 2019, when newspaper articles on the use of blockchain technology first appeared, the topics were extracted from 21 newspapers and analyzed by time to 15,537 articles. As a result of the analysis, articles related to the utilization of blockchain technology have increased exponentially since 2015 and focused on IT_science and economics. Key words related to cryptocurrency, bitcoin and virtual currency were weighted high, although they differed depending on time. Blockchain technology, which had focused on financial transactions, gradually expanded to big data, Internet of Things and artificial intelligence. As a result, changes in corporate topics were also made together to expand into various fields at banks for financial transactions, focusing on large and global companies. The study showed how these topics were changing, along with the main topics in newspaper articles related to the use of blockchain technology.

Top 50 cited articles on dental stem cell research

  • Kodonas, Konstantinos;Fardi, Anastasia;Gogos, Christos;Economides, Nikolaos
    • Restorative Dentistry and Endodontics
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    • v.45 no.2
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    • pp.17.1-17.10
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    • 2020
  • Objectives: Citation analysis provides a unique insight into how scientific interests and research trends have changed over time. The aim of this study was to report on the 50 top-cited papers in dental stem cell research using the Science Citation Index Expanded provided by the Web of Science database to determine the academic importance of each contribution. Materials and Methods: After the screening, article title and type, total citations and citations per year, publication journal, publication year, first and senior authors, country of origin, institution, and university of reprint author were documented for the 50 top-cited articles in dental stem cell research. Keyword analysis was performed to determine which keywords were most/least popular. Results: Top 50-cited articles were cited between 179 to 2,275 times. The majority of papers were published in 2008 and originated from the United States with the highest contribution from the National Institute of Dental & Craniofacial Research. Journal of Dental Research published the highest number of top-cited articles, followed by Stem Cells and Journal of Endodontics. The greatest number of articles was published by two individual authors, Shi and Gronthos. Among 197 unique keywords, dental pulp stem cells and mesenchymal stem cells were the most frequently used. Thirty-eight of the 50 most cited articles were original articles, and 37 of them were in the field of basic science. Conclusions: Basic science studies in dental stem cell research published in high impact factor journals had the highest citation rates.

Contemporary research trends on nanoparticles in endodontics: a bibliometric and scientometric analysis of the top 100 most-cited articles

  • Sila Nur Usta ;Zeliha Ugur-Aydin ;Kadriye Demirkaya;Cumhur Aydin
    • Restorative Dentistry and Endodontics
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    • v.48 no.3
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    • pp.27.1-27.11
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    • 2023
  • Objectives: Advancements in nanotechnology have led to the widespread usage of nanoparticles in the endodontic field. This bibliometric study aimed to determine and analyze the top 100 most-cited articles about nanoparticles in endodontics from 2000 to 2022. Materials and Methods: A detailed electronic search was conducted on the "Clarivate Analytics Web of Science, All Databases" to receive the most-cited articles related to the topic. Articles were ranked in descending order based on their citation counts, and the first 100 were selected for bibliometric analysis. Parameters such as citation density, publication year, journal, country, institution, author, study design, study field, evidence level, and keywords were analyzed. Results: The top 100 most-cited articles received 4,698 citations (16-271) with 970.21 (1.91-181) citation density in total. Among decades, citations were significantly higher in 2011-2022 (p < 0.001). Journal of Endodontics had the largest number of publications. Canada and the University of Toronto made the highest contribution as country and institution, respectively. Anil Kishen was the 1 who participated in the largest number of articles. The majority of the articles were designed in vitro. The main study field was "antibacterial effect." Among keywords, "nanoparticles" followed by "Enterococcus faecalis" were used more frequently. Conclusions: Developments in nanotechnology had an impact on the increasing number of studies in recent years. This bibliometric study provides a comprehensive view of nanoparticle advances and trends using citation analysis.

An Analytical Review on Fatigue of Cancer Patients (암 환자의 피로에 관한 문헌 분석)

  • 이윤정;김달숙
    • Journal of Korean Academy of Nursing
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    • v.32 no.6
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    • pp.897-905
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    • 2002
  • The purpose of this study was to discuss and address the state of the knowledge development and the nature of knowledge regarding fatigue. Method: This study analyzed the 63 fatigue related articles published from 1990 to 2001. The analysis schema was 'Alternative linkages among philosophy, theory, and method for nursing science' (Kim, 1993). Result: The 63 articles had been studied only within 5 types among all 96 types of linkages. Most of the articles (59 among 63 articles) had been studied within scientific realism and deductive logic. Fifty-three articles among 59 articles were the type of explanatory and predictive theory, grasping reality by the etic method on the controlled setting. Conclusion: This study suggests more development of knowledge regarding fatigue with various logics, especially with discovery logic such as inductive and retroductive or methods in multiple designs on various subjects under various philosophy needed for nursing practice.