• Title/Summary/Keyword: 피인용 횟수

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Characteristics Associated with Citation Rates of the Journal of Korean Orthopaedic Association (An Analysis of Articles between 2001-2015) (대한정형외과학회지에 발표된 논문들의 피인용 횟수와 연관된 특성(2001년부터 2015년까지의 논문 분석))

  • Bae, Jung Yun;Kwak, Sang Ho;Kang, Sang Woo;Woo, Seung Hun;Ahn, Tae Young;Lee, Sang Hyun
    • Journal of the Korean Orthopaedic Association
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    • v.55 no.6
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    • pp.487-494
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    • 2020
  • Purpose: No attempt has been made to identify the relationship between the study characteristics and citation rates of articles published in the Journal of the Korean Orthopaedic Association (JKOA). This study classified the study characteristics of articles in the JKOA and analyzed the relationship between the study characteristics and citation rates. Materials and Methods: A cohort study was conducted on all articles published from February 2001 to December 2015. Three independent reviewers classified the articles according to the article type, material, time of the study, design, clinical categories, number of authors, and number of cases. The citation numbers of each article by other journals were taken in January 2020. Univariate analyses were conducted to assess the effect of each characteristic, and multivariate linear regression analysis was performed to analyze the overall relationship between the characteristics and the citation rates. Results: A total of 1,640 articles were published from 2001 to 2015, and 724 articles were cited more than once. The articles published in 2009 had the highest average number of citations. Original articles had the highest citation rates, followed in descending order by surgical techniques and reviews, instructional course lectures, and case reports (p<0.001). Among the case reports, articles dealing with general trauma scored significantly higher average citations (mean=1.5, p=0.006). Among the original articles, articles on general orthopedics had the highest citation rates, followed in order by clinical articles and experimental articles. Among the clinical articles, epidemiologic studies (mean=5.0, p<0.001) and studies on the spine (mean=1.7, p<0.001) recorded significantly higher citation rates than the others. Conclusion: Of all the articles published in the JKOA from 2001 to 2015, articles dealing with general trauma had the highest citation rates among case reports. Among the original articles, epidemiologic studies and studies concerning the spine were cited significantly more than others.

An Analysis on the Factors Affecting the Citation in Korean Material Science Articles (한국 재료공학 논문의 피인용 영향요인에 관한 연구)

  • Shin, Eun-Ja
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.131-150
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    • 2013
  • This study pointed the factors affecting the number of articles and citations in material science which is the most active publishing disciplinary in South Korea. This was conducted by gathering the information on SCIE which had been published by 449 Korean professors in material science from 2006 to 2010. One of the results was that the professors who had published more papers received more citations than those who did not, reconfirming former studies abroad. It was observed that the factors majors impacting on the number of papers may be their academic positions, educational backgrounds (particularly undergraduates), and places of work. The number of citations was affected by the authors' undergraduate and their locations of the work. This study suggested a need for more supports on basic researches by universities and funding bodies and an amendment of performance measures to include the number of citations.

Mapping Intellectual Space of Technology Innovation Management in Korea (한국 기술혁신연구의 지적생태계 구조)

  • Seol, Sung-Soo;Namn, Su-Hyeon;Park, Jung-Min
    • Journal of Korea Technology Innovation Society
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    • v.12 no.1
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    • pp.165-188
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    • 2009
  • The major purposes of the research are to see the underlying disciplines of technology innovation management which contribute to Korean research. To do that, we employed author cocitation analysis which has been proved to be robust. We compiled all the citations of two major Korean journals between 1993 and 2006. We also included up to 3rd author, which makes a cocitation analysis more comprehensive, compared with the previous analysis for the first author only. We identified 239 authors who have more than 10 citations. From the cocitation combinations based on the 239 authors, we selected and analyzed 100 most cocited authors. Out of 100 authors a group of 23 authors who command both higher citations and cocitations were chosen for detailed analysis. The results show that the average number of publications is 22.2, the average number of citations to them is 58.5, and the average number of citations to a publication is 2.6. Also, the average number of cocitations is around 10 times that of citations. The results indicate that there are six major disciplines: Technology/Innovation, Management of Technology, Economics of Technology, Development, Valuation of Technology, and Growth. Noteworthy points are the following. 1) Most of the members of the technology management group are management scholars, and the groups of economics of technology and growth are economists, while the groups of technology innovation and development group are not represented by specific disciplines. 2) Considering the groups overall from the traditional academic disciplines, the main branches are management and economics. 3) The valuation of technology group consists mostly of Korean researchers.

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Analysis of Factors Influencing Patent Citations (특허 인용에 영향을 미치는 요인 분석)

  • Yoo, Jae-Bok;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.27 no.1
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    • pp.103-118
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    • 2010
  • Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

Analysis of Factors Influencing Journal Articles' Citations (KSLA 연구논문 - 논문 인용의 영향요인 분석)

  • Yu, Jae-Bok;Kim, Jae-Ho
    • KSLA Bulletin
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    • s.2
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    • pp.16-27
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    • 2010
  • Recently, the valuation of research papers has been greatly emphasized, and their citation has been accepted as a very useful indicator. In this study, we performed correlation analyses between the paper citation counts and 11 explanatory variables of morphological and conceptual factors with a test dataset of the papers of 11 journals in library and information science. The analysis results of the correlations show that only the document similarity has 5% or more standardized variances(r2) with paper citation counts and the document similarity with citation counts get higher as the variable value increases.

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A Study on Developing a Prediction Model of Patent Citation Counts (특허인용 예측모형 구축에 관한 연구)

  • Yoo, Jae-Bok;Chung, Young-Mee
    • Journal of the Korean Society for information Management
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    • v.27 no.4
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    • pp.239-258
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    • 2010
  • The purpose of this study is to develop a prediction model of patent citation counts based on major factors which affect patent citation. To this end, we performed multiple regression analysis between the patent citation counts and five explanatory variables such as the number of pages, the number of claims, the reference-average-citation rate, the strength of bibliographic coupling, and the document similarity proved as having 5% or more standardized variances($r^2$) with patent citation counts, with a test dataset of U.S. patents in five subject fields. As a result, our prediction models showed 58.3% to 89.6% predictability depending on subject fields and revealed the document similarity has the highest impact on citation counts among the five predictive variables in all the subject fields. The result of comparison between the predicted citation counts and the actual ones confirmed the usefulness of the citation prediction models built for each subject field.

Analysis of Factors Influencing Patent Citations: Focused on Korea Medical Device Patents (특허 인용에 영향을 미치는 요인 분석: 국내의료기기 특허를 중심으로)

  • Yoon, Jae Woong;Lee, Chang Seop;Lee, Suk Jun
    • Journal of the Korean Society for information Management
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    • v.33 no.2
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    • pp.103-133
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    • 2016
  • The valuation of patented technology has been recently emphasized, and the patent citation is known as an important factor. This study performed a generalized linear model to find variables that effect the patent citation. We classified 13 variables as morphological, technological and conceptual factors and used them to find out effective variables in 14 medical devices classification. Through the empirical study, we found seven effective variables (assignee nationality, assignee character, the number of inventors, the number of application countries, the number of IPC, the number of references, the strength of bibliographic coupling). In order to apply to Korean industry, this study has significance that provides basic research to citation analysis model.

A Study on the Relationship between the Review Results of Articles and Impact Metrics in an Open Peer Review Platform (오픈 피어 리뷰 환경에서 학술 논문 심사 결과와 영향력 지표 간의 관련성에 관한 연구)

  • Jane Cho;Jong-Do Park
    • Journal of the Korean Society for Library and Information Science
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    • v.57 no.2
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    • pp.79-96
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    • 2023
  • This study analyzed the open peer review results for 585 papers in the field of social sciences in F1000Research, a representative OPR(Open Peer Review) platform, and checked the relationship between the number of cited-by, altmetrics and review score. In addition, by verifying whether the review score shows a moderating effect between the relationship between the utilization of the paper and the cited-by, it was confirmed whether the paper evaluated as high quality in the open review platform can promote the number of cited-by. As a result of the analysis, first, there was no significant difference in the number of cited-by between the approved and conditionally approved paper groups, but the converted review score and the number of cited-by showed a weak positive correlation (r = 0.40 - 0.60). Second, the review score showed a weak correlation with the altmetrics, and it was analyzed that review result could weakly predict the number of cited-by and social impact. Finally, it was verified that the review score performed a significant positive moderating effect (B=1.69, P < 0.01) in making the use of the paper lead to citation. As a result of the conditional effect test, it was verified that it showed the greatest effect(B=11.32, 95% CI [10.57, 12.08]) in the group of papers rated as the highest quality. Therefore, it was analyzed that the open review scores can help researchers select high quality papers and induce citations.

Analysis of Research Activities in KAIST Using KSCD (KSCD를 활용한 KAIST 연구 활동 분석)

  • Kwon, Sang-Eun;Hong, Hyun-Wook;Lim, Chae-Ho;Choi, Seon-Heui
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.1628-1631
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    • 2012
  • 대학교의 논문 발표 현황 및 피인용 횟수는 오늘날 대학교를 평가하는데 있어 중요한 지표 중 하나이다. 본 논문은 국내 대학교 중 KAIST를 선정하여 논문 실적을 분석함으로써 대학교의 연구 활동에 대해 분석하였다. 분석한 지표는 학과별 논문 발표 수, 피인용 횟수로 평가한 논문 순위, 활동성이 높은 학술지, 협업기관으로 각 지표들은 주 저자 기준이다. 이러한 결과는 향후 국내 대학교 간의 대학교 평가 체계에 적용될 수 있으며, 연구 활동 분석을 통해 각 대학교들은 자체적으로 실적 평가 및 연구 정책 설정 등을 할 수 있을 것이라 기대한다.

A Study on the Correlation between the Appearance Frequency of Author Keyword and the Number of Citation in the Humanities and Social Science Journal Articles of the Korea Citation Index (KCI) (인문학 및 사회과학 분야 국내 학술논문의 저자키워드 출현빈도와 피인용횟수의 상관관계 연구)

  • Ko, Young Man;Song, Min-Sun;Kim, Bee-Yeon;Min, Hye-Ryoung
    • Journal of the Korean Society for information Management
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    • v.30 no.2
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    • pp.227-243
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    • 2013
  • The purpose of this study is to verify the correlation between the appearance frequency of author keyword and the number of citation in journal articles. In this study, we were trying to develop a methodology that can select the term having semantic relation with other terms and higher utilization to build a structured scientific glossary. In order to achieve this purpose, we analyzed the number of citation and the author keyword of the humanities and social science journal articles of the Korea Citation Index (KCI) from 2007 to 2011. This study found a correlation between appearance frequency of author keyword and the number of citation of the journal articles, with higher appearance frequency of author keyword of the journal articles being more cited.