• 제목/요약/키워드: publications

검색결과 2,029건 처리시간 0.026초

대상질환군으로 본 의·한 협진연구 경향 분석 (Trend Analysis of Korean-Western Medicine Collaboration Studies by Disease Group)

  • 전은희;이현주;조민경;김남권;이인
    • 대한한방내과학회지
    • /
    • 제41권4호
    • /
    • pp.658-667
    • /
    • 2020
  • Objectives: The purpose of this study was to analyze trends in Korean-Western Collaborative Medicine studies by disease group. Methods: Articles published until May 2020 were searched in domestic databases (NDSL, RISS, KISS, DBPIA, and KoreanTK) using the keywords '한양방', '양한방', '협진', '협의진료', '의한의', '의·한의', and '통합의학'. The articles were analyzed according to the publication year, journal type, research methodology, and disease group using the major and intermediate classifications of the Korean Standard Classification of Diseases (KCD-7). Results: In total, 112 articles were selected. The most frequent major disease groups were disease codes G, C (D), I, and M, in that order. The medium disease groups numbered 41 and most commonly involved collaborative studies on cerebrovascular diseases. Among the three top KCD-7 major group diseases, publications on Group C (D) were increasing significantly, publications on Group G were slightly increasing, but, publications on Group I decreased in the 2010s compared to the 2000s. Conclusions: In this study, we analyzed the frequent disease groups treated with domestic Korean-Western medicine in collaborative studies using the major and medium classifications of KCD-7. Well-designed clinical trials and economic evaluation research are needed, and this study can provide directions for future collaborative studies using Korean-Western medicine.

국내.외 해양연구기관 연구성과의 계량적 분석 - 연구생산성 및 국가간 연구협력을 중심으로 - (A Bibliometric Study on R&D Performance of Ocean Research Institutes)

  • 한종엽
    • 한국도서관정보학회지
    • /
    • 제44권4호
    • /
    • pp.209-231
    • /
    • 2013
  • 이 연구는 2008년에서 2012년까지 5년간의 SCI 논문분석을 통해 국내 외 10개 해양연구기관의 연구성과와 연구협력관계를 비교분석한 것이다. 전체 논문수는 SIO, WHOI, NOC가 많았고, 논문생산의 성장속도를 분석한 결과, NFRDI, KIOST, IOCAS, JAMSTEC과 같이 동아시아 국가의 성장세가 두드러졌다. 연구자 1인당 논문수는 WHOI, SIO, NOC이 대체로 높았고, 연구개발비 10억원 당 논문수는 IOCAS, NOC, GEOMAR, SIO 순으로 나타났다. 논문 피인용지수(CPP)는 WHOI, SIO, NOC, GEOMAR, JAMSTEC, IFREMER 등 대체로 북미권과 유럽권이 높았고, 아시아권에서는 일본이 높았다. 논문당 투고학술지 영향력지수(IF)는 IFREMER, KIOST, JAMSTEC이 대체로 상승하고 있고, 타 기관의 경우는 증가와 감소를 반복하고 있다. 기관별 국가 간 연구협력현황을 분석한 결과, 아시아권의 연구협력이 상대적으로 폐쇄적이고, 유럽권이 대체로 개방적인 양상을 나타내고 있었다. 유럽권과 아시아권의 경우 연구협력국가가 많을수록, 투고논문의 질적 수준도 비교적 높은 것으로 나타났다.

학술지(2000-2004)에 나타난 지식관리 관련 개인정보 인식에 대한 연구 (Awareness of the Privacy Concerns in Knowledge Management in Scholarly Publications from 2000 to 2004)

  • 박수진;이명희
    • 정보관리학회지
    • /
    • 제25권2호
    • /
    • pp.99-114
    • /
    • 2008
  • 본 연구는 지식관리에 있어서 개인정보에 대한 학술적 인식을 파악하는 것을 목적으로 한다. 이론적 배경으로 지식이 갖는 본래적 사적 특성과 현실적 지식관리 방법에 따른 개인 정보에 대한 견해들이 연구 문제의 인식과 이해를 위해 논의된다. 학술적 인식 파악을 위한 연구방법론으로 2000년에서 2004년 사이에 발표된 관련 문헌을 검색하고 그에 대한 내용을 분석하였다. 이 문헌조사에 따르면, 지식관리에 있어서 개인정보에 대한 학술적 인식은 아직 낮은 것으로 파악된다. 조사결과는 이론적 배경에 기초해서 본문 내에 분석되었다. 본 결과는 연구주제에 대한 현시적 상황을 파악하고 분석했을 뿐만 아니라, 지속적 연구의 필요성을 제공하고 있다.

식우(拭疣) 김수온(金守溫)의 『의방유취(醫方類聚)』 편찬 사적(事蹟) (Kim Su-On's Work on the Compilation of 『Euibangyoochui(醫方類聚)』)

  • 안상우;홍세영
    • 한국의사학회지
    • /
    • 제24권2호
    • /
    • pp.1-15
    • /
    • 2011
  • Kim Su-On(1409~1481) was a editor in King Sejong's times who worked on the publication of "Euibangyoochui(醫方類聚)" and other major publications led by the royal family. This paper will review the works of Kim Su-On based on the medical background of early Joseon Dynasty and the medical book-reading officer system, and also evaluate his contribution to the development of medicine in early Joseon Dynasty, factoring in his life, ideas, and literary talent. By looking at the life of Kim Su-On, we can understand the role of Confucian doctors(儒醫) in the early Joseon Dynasty, how Confucian scholars who were learned in medicine supervised the compilation and correction of "Euibangyoochui(醫方類聚)". Especially, from the poetry of "Sikujip(拭疣集)", contents regarding the proofreading of "Euibangyoochui(醫方類聚)" between Im Won-jun and Kim Su-On shows the publication process of "Euibangyoochui(醫方類聚)" at the reign of King Sungjong. His outstanding achievements are largely due to the medical book-reading officer system implemented around the time "Euibangyoochui (醫方類聚)" was published. The medical book-reading officer system aimed to increase the knowledge of various matters for the civil service bureaucrats, allowing them to become high-ranking officials in the fields of technology. Its another purpose was to compile specialty publications. Many of the civil service bureaucrats who participated in the medical book publications arranged the theoretical basis of medicine and modified experience medicine to a new medical system. The first edition of "Euibangyoochui(醫方類聚)" at King Sejong's reign collected vast medical information into 365 books. Then it was corrected during King Sejo's reign then finally completed and published at King Seongjong's reign. During this period, the experience medicine inherited from Goryeo Dynasty was reestablished into a new form of theoretical interpretation.

여성 고학력자들의 취업: 생화학 분야 여성과학자 교수임용과정을 중심으로 (Employment Opportunities of Female Ph.D.s for Faculty Positions: the Case of Biochemistry in Korea)

  • 박찬웅
    • 한국인구학
    • /
    • 제29권1호
    • /
    • pp.157-183
    • /
    • 2006
  • 우리 사회에서 여성 고학력자의 취업 기회는 어떠한가? 이 연구는 여성 고학책자 혹은 전문 직종에서 여성 취업 기회에 대한 구체적인 이해를 위해 생화학이라는 최근 주목받고 있는 분야에서 여성 학위자의 교수 임용과 이에 영향을 주는 요인들을 분석했다. 지금까지 이 연구의 분석 결과를 요약하면 다음과 같다. 첫째, 박사 취득시 연령이 높을수록, 그리고 출생 코호트가 최근일수록 교수 임용 가능성이 높다. 특히 출생 코호트 분석을 통해서 시간이 지나면서 우리 사회에서 전반적인 여성 지위 개선과 함께 최근 국공립여교수채용목표제와 같은 정책과 더불어 여성 교수 임용 가능성의 향상 가능성을 살펴보았다. 둘째, 이 연구는 지금까지 교수 임용에 대한 연구와 달리, 단지 연구 업적의 양이 아니라, 연구 업적의 발표 학술지 유형(science citation index 등재 학술지 여부), 경력기간 내에서의 발표시점, 그리고 업적의 질적 측면을 보여주는 인용 횟수를 구별해서 분석했다. 결과적으로 교수 임용에 유리한 결과를 주는 것은 대학원 재학 시기에는 등재지에 실린 논문의 인용 횟수이고, 졸업 후 시기에는 등재지 논문 수라는 것을 제시했다. 이는 교수 임용 과정에서 해당 학자 평가 과정이 복합적으로 이루어진다는 것을 나타낸다. 이 연구는 앞으로 여성 학자의 교수 임용 기회향상을 위한 방안을 마련하기 위해서 학자에 대한 평가가 이루어지는 과정에 대한 다차원적인 분석틀이 필요하다는 것을 제시한다.

한의학 학술지에서의 이중게재 현황 (The trends of duplicate publication in Korean Medical journals.)

  • 안진향;이영진;곽재영;김민희;최인화
    • 대한한의학회지
    • /
    • 제38권3호
    • /
    • pp.103-110
    • /
    • 2017
  • Objectives: The purpose of this study was to examine trends in duplicate publication in Korean medical articles indexed in the Oriental Medicine Advanced Searching Integrated System(OASIS). Methods: We searched the list of papers published in Korean medical journals by using OASIS. We randomly extracted 10% of total articles (n=1,162). We searched using OASIS by entering keywords from the title and names of the first and last authors of each indexed article. After the librarian selected the candidates of duplicate publication, three authors reviewed the full texts of the articles independently. When their opinions were not in agreement, reconciliation was made by discussion. The patterns of duplicate publication, such as copy, salami slicing (fragmentation), and aggregation (imalas), were also determined. Results: A total of 1162 articles were evaluated, 24 (2.1%) index articles of which were duplicate articles. Among 24 index articles, Two were triple publications and 22 were double publications. The patterns of duplication publication were as follows; (1) copy (n=8, 33.3%); (2) salami (9, 37.5%), (3) imalas (5, 20.8%) (4) others (2, 8.3%). Conclusion: Duplicate publications have appeared in Korean medical journals in a small proportion. Education on publication ethics and authors'ethical awareness is needed.

감정분석과 오피니언 마이닝: 2007-2016 (Sentiment Analysis and Opinion Mining: literature analysis during 2007-2016)

  • 이가베;이효맹;유효문;강선경;이현창;신성윤
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2017년도 춘계학술대회
    • /
    • pp.160-161
    • /
    • 2017
  • 감정 분석 및 의견 마이닝은 지난 15 년 동안 연구 분야가 등장하면서 사람들의 의견, 감정, 평가, 태도 및 감정을 글쓰기 언어의 광산 및 감정 분석 (OMSA)에서 분석하고 계산 방법론을 제공하는 분야입니다 주로 비 구조화 된 데이터를 처리하여 의견을 추출하고 그들의 감정을 파악합니다. 상대적으로 새롭지 만 빠르게 성장하는 연구 분야는이 기간 동안 많이 바뀌 었습니다. 이 논문은 2007-2016 년 동안 OMSA에서 수행 된 연구 작업의 과학적 분석을 제시합니다. 문헌 분석을 위해 Web of Science (WoS) 데이터베이스에서 색인 된 연구 출판물을 입력 자료로 사용합니다. 출판 데이터는 계산 방식으로 분석되어 연도 별 출판 패턴, 출판물, 연구 분야의 성장률을 파악합니다. 이 간행물에서 사용되는 대중적 접근법 (기계 학습 및 어휘 기반), OMSA의 주요 응용 분야 및 정서 분석 작업의 수준 (문서, 문장 또는 측면 수준)을 식별하기 위해 데이터에 대한보다 상세한 수동 분석도 수행됩니다.

  • PDF

대기오염과 심박변이도(Heart Rate Variability, HRV)의 연관성에 대한 고찰 (Review of Association between Air Pollution and Heart Rate Variability (HRV))

  • 곽수영;임채윤;이기영;박지영
    • 한국환경보건학회지
    • /
    • 제41권4호
    • /
    • pp.223-230
    • /
    • 2015
  • Objectives: There is considerable evidence that polluted ambient air contributes to the risk of cardiovascular morbidity and mortality. Heart rate variability (HRV) is defined as the variation in heartbeat intervals and has been reported as a biological marker of cardiovascular disease. This article reviews the existing literature in order to examine the association between air pollution and HRV. Methods: Literature was searched using Web of Science with the key words of "air pollution", "heart rate variability" and other related terms. A total of 156 articles were listed. For review, 21 of those listed publications were chosen after excluding studies regarding chamber studies, occupational environment, secondhand smoke and automobile exhaust. Results: Research methods employed in the publications were classified by type of participants (elderly/adult), air pollution monitoring (ambient/personal) and HRV monitoring (continuous/spot). Among HRV parameters, power in the low frequency range (LF), power in the high frequency range (HF) and standard deviation of all NN intervals (SDNN) were all associated with air pollutants. The chosen studies were mostly based on elderly populations. In studies based on continuous HRV monitoring, LF and SDNN significantly decreased when $PM_{2.5}$ exposure increased. Conclusion: Continuous HRV monitoring combined with personal exposure monitoring has been one of the most common study methods in recent publications. We expect that this review will be useful for the study of the association between air pollution and cardiovascular effects using HRV.

A Bibliometric Approach for Department-Level Disciplinary Analysis and Science Mapping of Research Output Using Multiple Classification Schemes

  • Gautam, Pitambar
    • Journal of Contemporary Eastern Asia
    • /
    • 제18권1호
    • /
    • pp.7-29
    • /
    • 2019
  • This study describes an approach for comparative bibliometric analysis of scientific publications related to (i) individual or several departments comprising a university, and (ii) broader integrated subject areas using multiple disciplinary schemes. It uses a custom dataset of scientific publications (ca. 15,000 articles and reviews, published during 2009-2013, and recorded in the Web of Science Core Collections) with author affiliations to the research departments, dedicated to science, technology, engineering, mathematics, and medicine (STEMM), of a comprehensive university. The dataset was subjected, at first, to the department level and discipline level analyses using the newly available KAKEN-L3 classification (based on MEXT/JSPS Grants-in-Aid system), hierarchical clustering, correspondence analysis to decipher the major departmental and disciplinary clusters, and visualization of the department-discipline relationships using two-dimensional stacked bar diagrams. The next step involved the creation of subsets covering integrated subject areas and a comparative analysis of departmental contributions to a specific area (medical, health and life science) using several disciplinary schemes: Essential Science Indicators (ESI) 22 research fields, SCOPUS 27 subject areas, OECD Frascati 38 subordinate research fields, and KAKEN-L3 66 subject categories. To illustrate the effective use of the science mapping techniques, the same subset for medical, health and life science area was subjected to network analyses for co-occurrences of keywords, bibliographic coupling of the publication sources, and co-citation of sources in the reference lists. The science mapping approach demonstrates the ways to extract information on the prolific research themes, the most frequently used journals for publishing research findings, and the knowledge base underlying the research activities covered by the publications concerned.

Indian Research on Artificial Neural Networks: A Bibliometric Assessment of Publications Output during 1999-2018

  • Gupta, B.M.;Dhawan, S.M.
    • International Journal of Knowledge Content Development & Technology
    • /
    • 제10권4호
    • /
    • pp.29-46
    • /
    • 2020
  • The paper describes the quantitative and qualitative dimensions of artificial neural networks (ANN) in India in the global context. The study is based on research publications data (8260) as covered in the Scopus database during 1999-2018. ANN research in India registered 24.52% growth, averaged 11.95 citations per paper, and contributed 9.77% share to the global ANN research. ANN research is skewed as the top 10 countries account for 75.15% of global output. India ranks as the third most productive country in the world. The distribution of research by type of ANN networks reveals that Feed Forward Neural Network type accounted for the highest share (10.18% share), followed by Adaptive Weight Neural Network (5.38% share), Feed Backward Neural Network (2.54% share), etc. ANN research applications across subjects were the largest in medical science and environmental science (11.82% and 10.84% share respectively), followed by materials science, energy, chemical engineering and water resources (from 6.36% to 9.12%), etc. The Indian Institute of Technology, Kharagpur and the Indian Institute of Technology, Roorkee lead the country as the most productive organizations (with 289 and 264 papers). Besides, the Indian Institute of Technology, Kanpur (33.04 and 2.76) and Indian Institute of Technology, Madras (24.26 and 2.03) lead the country as the most impactful organizations in terms of citation per paper and relative citation index. P. Samui and T.N. Singh have been the most productive authors and G.P.S.Raghava (86.21 and 7.21) and K.P. Sudheer (84.88 and 7.1) have been the most impactful authors. Neurocomputing, International Journal of Applied Engineering Research and Applied Soft Computing topped the list of most productive journals.