• Title/Summary/Keyword: citation metrics

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Case study of Journal Article and Reference Mapping (학술논문과 참고문헌의 자동매핑 사례 분석)

  • Kim, Jayhoon;Kim, Soon Young;Lim, Seok Jong;Hwang, Hyekyong
    • The Journal of the Korea Contents Association
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    • v.19 no.11
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    • pp.262-269
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    • 2019
  • References at the end of an academic paper are information that helps authors keep their research ethics, readers refer to related prior studies. Also references are useful information for linking citations and citations between articles. As bibliography metrics develops, bibliographic data is used as an important data for assessing the academic influence of countries, institutions and individual researchers. However, it is not easy to identify and link the reference data due to the diversity of the bibliographic citation formats, the loss of information due to the abbreviation of journal names and author names, and typos by authors. This study investigated the method of improving the bibliographic data mapping rate by analyzing the unmapped cases. As a result, it was found that the main cause of the article-reference mapping failure was the similarity of abbreviated journal names. Research team suggested that continuous management of journal title authority data and improving the DOI registration rate as ways to improve the identification and mapping rate. This study is differentiated from other studies in used database. Bibliography mapping was attempted for domestic and foreign integrated journal database that is mainly subscribed, used, published and cited in Korea. Through reference construction volume and mapping rate improvement, it can be used as citation analysis and service database reflecting domestic situation that is different from overseas citation index database.

Research Publishing by Library and Information Science Scholars in Pakistan: A Bibliometric Analysis

  • Ali, Muhammad Yousuf;Richardson, Joanna
    • Journal of Information Science Theory and Practice
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    • v.4 no.1
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    • pp.6-20
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    • 2016
  • Scholarly communication plays a significant role in the development and dissemination of research outputs in library and information science (LIS). This study presents findings from a survey which examines the key attributes that characterize the publishing by Pakistani LIS scholars, i.e. academics and professionals, in national journals. A pilot-tested, electronic questionnaire was used to collect the data from the target population. 104 respondents (or 69.3% of target) provided feedback on areas such as number of articles published, number of citations, and the nature of any collaboration with other authors. The findings of this survey revealed that, among the various designated regions of Pakistan, the Punjab region was the most highly represented. In articles published in national journals, there was a clear preference among all respondents to collaborate with at least one other author. The citation metrics for LIS articles in national journals were relatively low (30.22%), which aligns with Scimago’s Journal and Country Rankings. The uptake of social scholarly networks mirrors international trends. Respondents were asked to score factors which could impact negatively on their ability to undertake research and/or publish the results. The study recommends that concerned stakeholders work together, as appropriate, to address concerns. In addition, it recommends that further research be undertaken to define patterns of Pakistani co-authorship in the social sciences.

Collaboration Networks and Document Networks in Informetrics Research from 2001 to 2011: Finding Influential Nations, Institutions, Documents (계량정보학분야의 협력연구 네트워크 및 문헌네트워크 분석 : 국가, 기관, 문헌단위 분석)

  • Lee, Jae Yun;Choi, Sanghee
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.179-191
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    • 2013
  • Since information scientists have begun trying to quantify significant research trends in scientific publications, '-metrics' research such as 'bibliometrics', 'scientometrics', 'informetrics', 'webometrics', and 'citation analysis' have been identified as crucial areas of information science. To illustrate the dynamic research activities in these areas, this study investigated the major contributors of '-metrics' research for the last decade at three levels: nations, institutions, and documents. '-metrics' literature of this study was obtained from the Science Citation Index for the years 2001-2011. In this analysis, we used Pathfinder network, PNNC algorithm, PageRank and several indicators based on h-index. In terms of international collaborations, USA and England were identified as major countries. At the institutional level, Katholieke University, Leuven and the University of Amsterdam in Europe and Indiana University and the Office of Naval Research in the USA have led co-research projects in informetrics areas. At the document level, Hirsch's h-index paper and Ingwersen's web impact factor paper were identified as the most influential work by two methods: PageRank and single paper h-index.

Text Mining and Visualization of Papers Reviews Using R Language

  • Li, Jiapei;Shin, Seong Yoon;Lee, Hyun Chang
    • Journal of information and communication convergence engineering
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    • v.15 no.3
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    • pp.170-174
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    • 2017
  • Nowadays, people share and discuss scientific papers on social media such as the Web 2.0, big data, online forums, blogs, Twitter, Facebook and scholar community, etc. In addition to a variety of metrics such as numbers of citation, download, recommendation, etc., paper review text is also one of the effective resources for the study of scientific impact. The social media tools improve the research process: recording a series online scholarly behaviors. This paper aims to research the huge amount of paper reviews which have generated in the social media platforms to explore the implicit information about research papers. We implemented and shown the result of text mining on review texts using R language. And we found that Zika virus was the research hotspot and association research methods were widely used in 2016. We also mined the news review about one paper and derived the public opinion.

A Study on the Evaluation Indicators of Web Accessibility using Social Network Analysis (사회연결망분석을 활용한 웹 접근성 평가 지표 개발 방향 제안에 대한 연구)

  • Lee, Eun Suk;Cha, Kyung Jin
    • Smart Media Journal
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    • v.10 no.1
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    • pp.47-54
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    • 2021
  • Web accessibility is presented as a legal obligation to ensure users can access and use information and functions equally in the domestic public website sector. This study introduces the researcher network based on social network analysis (SNA) in order to show the citation relationship by identifying the network among researches in the field of web accessibility. Based on the analysis of the relationship and citation of academic researchers in the domestic web accessibility field, confirm the process of creating a research network. It is a visualization element that shows the citation relationship as well as the relationship and citation form between the studies as a network. Through the process of creating the network, and it can be confirmed and can be usefully used for future academic research network analysis. It is meaningful in terms of analysis for about 17 years from January 2000 to March 2017, a total of 50 papers published in journals registered by the National Research Foundation of Korea and candidate journals. By combining the evaluation metrics for each researcher, evaluation target, evaluation method, and evaluation result for web accessibility, and applying weights, identify the research direction and evaluation research trends in Korea's web accessibility field related to the relevant field and web accessibility evaluation research trends, and related to the researcher trend network.

Intellectual Structure and Infrastructure of Informetrics: Domain Analysis from 2001 to 2010 (계량정보학의 지적구조 분석 연구: 2001-2010년 연구영역 분석)

  • Lee, Jae-Yun;Choi, Sang-Hee
    • Journal of the Korean Society for information Management
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    • v.28 no.2
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    • pp.11-36
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    • 2011
  • Since the 1990s, informetrics has grown in popularity among information scientists. Today it is a general discipline that comprises all kinds of metrics, including bibliometrics and scientometrics. To illustrate the dynamic progress of this field, this study aims to identify the structure and infrastructure of the informetrics literature using statistical and profiling methods. Informetrics literature was obtained from the Web of Knowledge for the years 2001-2010. The selected articles contain least one of these keywords: informetrics', bibliometrics', scientometrics', webometrics', and citation analysis.' Noteworthy publication patterns of major countries were identified by a statistical method. Intellectual structure analysis shows major research areas, authors, and journals.

How to Promote the Korean Journal of Child Studies to an International Journal (아동학회지를 어떻게 국제화시킬 것인가?)

  • Huh, Sun
    • Korean Journal of Child Studies
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    • v.37 no.1
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    • pp.7-16
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    • 2016
  • Objective: It aimed at proposing the Korean Journal of Child Studies' strategy to be promoted to international journal based on the style and format of scholarly journals and journal metrics. Methods: The review of the journal in not only print version, but also an online version was done from the perspective of style and format. The total citation and impact factor were manually calculated from Web of Science Core Collection. Results: More professional level manuscript editing is required for maintaining the consistency of the style and format. The verso page and back matters should be improved to international level. Journal homepage should be reconstructed by adopting digital standards for the journal, including journal article tag suite, CrossMark, FundRef, ORCID, and text and data mining. To become an international journal, transformation into English journal and deposition to PubMed Central is mandatory. Conclusion: Since the editor's and society members' performance is top-notch, it will be possible to promote the journal up to international level soon. Society should guarantee the term of editor for enough time and support her with full cost and complete consent.

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.