• Journal of the Korean Society for Library and Information Science
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• v.49 no.1
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• pp.45-67
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• 2015

The purpose of this study is to analyse the semantic relations of terms in STNet, a structured terminology dictionary based on author keywords of humanities, social sciences, and art and sport in the Korea Citation Index (KCI) and to describe the procedure for optimizing the relation types and specifying the name of relationships. The results indicate that four logical criteria, such as creating new names for relationships or limitation of typing the relationship by the appearance frequency of same type, consideration of direction of relationship, reflection to accept the existing name of relationships, are required for the optimization of the typing and naming the relationships. We applied these criteria to the relationships in the class "real person" of STNet and the result shows that 1,135 out of 1,743 uncertain relationships such as RT, RT_X or RT_Y are specified and clarified. This rate of optimization with ca. 65% represents the usefulness of the criteria applicable to the cases of database construction and retrieval.

• Korean Journal of Adult Nursing
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• v.17 no.2
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• pp.320-330
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• 2005

Purpose: This is for analyzing the recent citations from papers enrolled in the Journal of Korean Academy of Nursing and understanding correct marking of references. Method: Targeted 2,334 references in 93 articles introduced from Feb. 2002 to Dec. 2002 which are applied current contribution rules of the Journal of Korean Academy of Nursing. Result: 1. 25 references are quoted per article and particularly foreign journals are most frequently quoted. Among foreign journals, Nursing Research is most frequently used. The Journal of Korean Academy of Nursing is also mostly referred material among national journals. 2. The retrieval rate is prove to be 1,539(83.8%) and 267(11.7%) are without errors and the other 2,022 have at least more than one error regardless of frequency. 3. Major error rate of periodical publication is 484(36.8%) and most occurred in the inconsistency of titles between articles and references. 4. Foreign journals have much more errors than national ones concerning periodical publications. Conclusion: Correct citation and marking of references can be achieved through strict reviewing process by authors, editors, publishers and paper investigators. In consequence, it is expected that these processes can cause improvement of quality in impact factor and papers.

• Journal of the Korean Society for information Management
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• v.36 no.2
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• pp.201-222
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• 2019

The Perfectionism Index (PI) is an indicator that is recently proposed to distinguish influential researchers from mass producers. In this study, Near Perfectionism Index (NPI), an improved indicator of Perfectionism Index, can be a solution to the problem of PI that indiscriminately gives a penalty to all low-cited papers regardless of publishing time or other issues. NPI improved the method to give a penalty to tail complement area considering the citation distribution curve. It prevents the improvement of the h-index from adversely affecting the researcher's influence indicator. This study uses NPI to evaluate information and library science journals in Web of Science database. It successfully distinguishes between influential journals and mass producers unlike journal h-index or average citation frequency which could not differentiate influentials from mass producers.

• Journal of Information Management
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• v.31 no.4
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• pp.13-49
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• 2000

This paper describes the results of journals usage analysis conducted at the Korea Institute of Industry & Technology Information. The study covers the photocopy usage of journals during the past 5 years from 1995 through 1999. Analysis showed that 19% of journal collection met 93% of total demands. The Analysis also provided on journal use patterns. The most frequently used subject field of journals was Chemistry and Chemical Engineering. A relationship was found between rankings of journal as measured by the photocopy data and SCI journal citation ranking, however, no relationship was found between photocopy rankings of journal and rankings of journal impact factors.

• The Journal of Information Systems
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• v.31 no.1
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• pp.289-304
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• 2022

Purpose The development of the network and mobile industries has induced companies to invest in information systems, leading a new industrial revolution. The Journal of Information Systems, which developed the information system field into a theoretical and practical study in the 1990s, retains a 30-year history of information systems. This study aims to identify academic values and research trends of JIS by analyzing the trends. Design/methodology/approach This study aims to analyze the trend of JIS by compounding various methods, named as TLS mining analysis. TLS mining analysis consists of a series of analysis including Term Frequency-Inverse Document Frequency (TF-IDF) weight model, Latent Dirichlet Allocation (LDA) topic modeling, and a text mining with Semantic Network Analysis. Firstly, keywords are extracted from the research data using the TF-IDF weight model, and after that, topic modeling is performed using the Latent Dirichlet Allocation (LDA) algorithm to identify issue keywords. Findings The current study used the summery service of the published research paper provided by Korea Citation Index to analyze JIS. 714 papers that were published from 2002 to 2012 were divided into two periods: 2002-2011 and 2012-2021. In the first period (2002-2011), the research trend in the information system field had focused on E-business strategies as most of the companies adopted online business models. In the second period (2012-2021), data-based information technology and new industrial revolution technologies such as artificial intelligence, SNS, and mobile had been the main research issues in the information system field. In addition, keywords for improving the JIS citation index were presented.

• Journal of the Korean Society for information Management
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• v.18 no.1
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• pp.85-104
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• 2001

The purpose of the study is to investigate the international standings of Korean medical journals and to provide a concrete journal evaluation data. The SciSearch database was searched for the 7,779 papers published in 8 Korean medical journals between 1989 and 1998. The frequency of citation to each journal was measured for each year, and the journal impact factor was calculated from 1991 to 1999 exactly as it is calculated in the Jour~~lnl Citation Reports (JCR). The Korean-language journals were rarely cited in SCI, even though the journals were of the medical areas where Korean researchers published a great deal of SCI papers. The number of citations to English-language journals started to grow from 1994 and increased rapidly from 1997. The citation interval is getting shorter, resulting in the drastic increases in the impact factors in the recent years. The nine-year averages of impact factors of the journals were distributed between 0.002 and 0.126. The international standings of Korean medical journals are very poor. When the impact factors were compared to those of SCI journals in the same subject category, Korean-language journals fell below the last SCI journals ranked by the impact factor, and the English-language journals were at the bottom among the SCI journals. The impact factors of 3 English-language Korean medical journals were about 2.0 when they became SCI journals in the late 1990s.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.209-228
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• 2017

This study suggests a new Hirsch-type composite index, 'transposed g-index' with a different viewpoint on h-index and g-index. From this new point of view, the axes of the graph describing the h-index and g-index are transposed so that the horizontal axis corresponds to the citation frequency threshold and the vertical axis corresponds to the number of documents. Based on this transposed graph, a new indicator transposed g-index is suggested and applied to library and information science researchers' outcomes in Korean Citation Index database. The results show that this new index has more discriminating power than h-index and g-index, and is more sensitive to differences in quantitative aspects than quality of research. It is expected that the transposed g-index will be helpful for the multifaceted evaluation of the research outcome because it has differentiating characteristics that distinguish consistent researchers who continue to study from those who do not.

• Journal of Korean Library and Information Science Society
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• v.39 no.4
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• pp.377-395
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• 2008

This article aims to help decide until when a library has to hold journal volumes for user efficiency by measuring the value of academic journals to find the frequency of journal use over the elapsed time based on the half-life index-number of literature obsolescence by Burton & Kebler. Four general subjects categories in science was analyzed. (4 detailed subjects in mathematics, 12 in physics, 12 in chemistry, 14 in technology was selected.) As a result, citation ages are $20{\sim}29$ years in mathematics, $8{\sim}11$ in physics, chemistry, and technology. Average half-life indexes are 11.22 year in mathematics, 7.5 in physics, 8.4 in chemistry, and 8.88 in technology.

• Journal of the Korean Society for information Management
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• v.20 no.4 s.50
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• pp.1-21
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• 2003

The purpose of this study is to analysis the types of cited materials dependence ratio of foreign information of researchers, and half-life of some cited analysis, Journal articles from four science & technology fields-mechanical, architectural, chemical, electrical-are selected, and the literatures cited by those journal articles are analysed in terms of resource types, languages, publication year of cited analysis. In result, it was found that the order of frequency of citation is scholarly journal, monograph, Proceeding, technical report. And dependence ratio of foreign information of researchers was most higher in the chemical field. Also, it was found that half-life of mechanical is 6.50, that of architectural is 5.45, that of chemical is 9.65, that of electrical is 5.60

• Journal of Information Science Theory and Practice
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• v.7 no.4
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• pp.33-44
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• 2019

Altmetrics measure the frequency of references about an article on social media platforms, like Twitter. This paper studies a variety of factors that affect the popularity of articles (i.e., the number of article mentions) in the field of psychology on Twitter. Firstly, in this study, we classify Twitter users mentioning research articles as academic versus non-academic users and experts versus non-experts, using a machine learning approach. Then we build a negative binomial regression model with the number of Twitter mentions of an article as a dependant variable, and nine Twitter related factors (the number of followers, number of friends, number of status, number of lists, number of favourites, number of retweets, number of likes, ratio of academic users, and ratio of expert users) and seven article related factors (the number of authors, title length, abstract length, abstract readability, number of institutions, citation count, and availability of research funding) as independent variables. From our findings, if a research article is mentioned by Twitter users with a greater number of friends, status, favourites, and lists, by tweets with a large number of retweets and likes, and largely by Twitter users with academic and expertise knowledge on the field of psychology, the article gains more Twitter mentions. In addition, articles with a greater number of authors, title length, abstract length, and citation count, and articles with research funding get more attention from Twitter users.