• 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.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4295-4300
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• 2016

Background: Recently, several studies have reported that elevated platelet counts may be associated with the poor prognosis of colorectal cancer. However, conclusions remain controversial. This meta-analysis was therefore designed to analyze and evaluate the prognostic role of preoperative or pretreatment thrombocytosis in patients with colorectal cancer. Materials and Methods: We searched PubMed, EMBASE, the Cochrane Library and Web of Science to March 29th, 2015. The citation lists of included studies were also hand-searched to identify further relevant trials. To investigate the association between thrombocytosis and prognosis of colorectal cancer, the 1-year, 3-year and 5-year survival of each studies were obtained. The odds ratio (OR) with its 95% confidence interval (CI) was used to evaluate the relation of overall survival (OS) between thrombocytosis and normal platelet counts (PLT). Likewise, disease free survival (DFS) was obtained and evaluated. The analysis was performed and assessed using Review Manager 5.2. Results: A total of 14 studies (N=5,566 participants, 11 including 4,468 for OS, 6 including 1,533 for DFS) were included in this meta-analysis, of which seven (N=3810) defined thrombocytosis as a platelet count ${\geq}400{\times}10^9/L$, and 375 (9.8%) patients exhibited pretreatment thrombocytosis. Thrombocytosis have a close relationship with the poor OS of colorectal cancer compared with normal PLT, with the pooled ORs of 1-year, 3-year and 5-year survival being 0.41 [95% CI 0.34-0.51; P<0.001], 0.28 [95% CI 0.21-0.38; P<0.001] and 0.26 [95% CI 0.20-0.34; P<0.001], respectively. For DFS, the same results were showed as the pooled ORs of 1-year, 3-year and 5-year survival respectively being 0.34 [95% CI 0.24-0.50; P<0.001], 0.31 [95% CI 0.23-0.43; P<0.001] and 0.25 [95% CI 0.18-0.34; P<0.001]. Conclusions: This meta-analysis indicated that thrombocytosis may predict poor prognosis for patients with colorectal cancer, and platelet counts may be a cost-effective and noninvasive marker.

• Journal of Information Science Theory and Practice
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• v.9 no.3
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• pp.76-106
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• 2021

The study analyzed bibliometric data of papers published in Korea Citation Index (KCI) and Web of Science (WoS) journals from 2002 to 2021. After examining size differences of KCI and WoS domains in the number of authors, institutions, and journals to put publication and citations counts in perspective, the study investigated co-authorship patterns over time to compare collaboration trends of Korean and international scholars and analyzed the data at author, institution, and journal levels to explore how the influences of authors, institutions, and journals on research output differ across domains. The study also conducted frequency-based analysis of keywords to identify key topics and visualized keyword clusters to examine topic trends. The result showed Korean LIS authors to be twice as productive as international authors but much less impactful and Korean institutions to be at comparable levels of productivity and impact in contrast to much of productivity and impact concentrated in top international institutions. Citations to journals exhibited initially increasing pattern followed by a decreasing trend though WoS journals showed far more variance than KCI journals. Co-authorship trends were much more pronounced among international publication, where larger collaboration groups suggested multi-disciplinary and complex nature of international LIS research. Keyword analysis found continuing diversification of topics in international research compared to relatively static topic trend in Korea. Keyword visualization showed WoS keyword clusters to be much denser and diverse than KCI clusters. In addition, key keyword clusters of WoS were quite different from each other unlike KCI clusters which were similar.

• Restorative Dentistry and Endodontics
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• v.48 no.4
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• pp.41.1-41.17
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• 2023

Objectives: This scientometric and bibliometric analysis explored scientific publications related to hydraulic calcium silicate-based (HCSB) sealers used in endodontology, aiming to describe basic bibliometric indicators and analyze current research trends. Materials and Methods: A comprehensive search was conducted in Web of Science and Scopus using specific HCSB sealer and general endodontic-related terms. Basic research parameters were collected, including publication year, authorship, countries, institutions, journals, level of evidence, study design and topic of interest, title terms, author keywords, citation counts, and density. Results: In total, 498 articles published in 136 journals were retrieved for the period 2008-2023. Brazil was the leading country, and the universities of Bologna in Italy and Sao Paolo in Brazil were represented equally as leading institutions. The most frequently occurring keywords were "calcium silicate," "root canal sealer MTA-Fillapex," and "biocompatibility," while title terms such as "calcium," "sealers," "root," "canal," "silicate based," and "endodontic" occurred most often. According to the thematic map analysis, "solubility" appeared as a basic theme of concentrated research interest, and "single-cone technique" was identified as an emerging, inadequately developed theme. The co-occurrence analysis revealed 4 major clusters centered on sealers' biological and physicochemical properties, obturation techniques, retreatability, and adhesion. Conclusions: This analysis presents bibliographic features and outlines changing trends in HCSB sealer research. The research output is dominated by basic science articles scrutinizing the biological and specific physicochemical properties of commonly used HCSB sealers. Future research needs to be guided by studies with a high level of evidence that utilize innovative, sophisticated technologies.

• Journal of the Korean Society for information Management
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• v.31 no.2
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• pp.57-77
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• 2014

As co-authorship has been prevalent within science communities, counting the credit of co-authors appropriately is an important consideration, particularly in the context of identifying the knowledge structure of fields with author-based analysis. The purpose of this study is to compare the characteristics of co-author credit counting methods by utilizing correlations, multidimensional scaling, and pathfinder networks. To achieve this purpose, this study analyzed a dataset of 2,014 journal articles and 3,892 cited authors from the Journal of the Architectural Institute of Korea: Planning & Design from 2003 to 2008 in the field of Architecture in Korea. In this study, six different methods of crediting co-authors are selected for comparative analyses. These methods are first-author counting (m1), straight full counting (m2), and fractional counting (m3), proportional counting with a total score of 1 (m4), proportional counting with a total score between 1 and 2 (m5), and first-author-weighted fractional counting (m6). As shown in the data analysis, m1 and m2 are found as extreme opposites, since m1 counts only first authors and m2 assigns all co-authors equally with a credit score of 1. With correlation and multidimensional scaling analyses, among five counting methods (from m2 to m6), a group of counting methods including m3, m4, and m5 are found to be relatively similar. When the knowledge structure is visualized with pathfinder network, the knowledge structure networks from different counting methods are differently presented due to the connections of individual links. In addition, the internal validity shows that first-author-weighted fractional counting (m6) might be considered a better method to author clustering. Findings demonstrate that different co-author counting methods influence the network results of knowledge structure and a better counting method is revealed for author clustering.

• Journal of The Korean Association of Information Education
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• v.24 no.4
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• pp.313-325
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• 2020

There is a growing interest and need for the educational use of artificial intelligence as artificial intelligence technologies such as machine learning and deep learning, the core technologies of the intelligent information society, owing to the recent innovative technological advances. Consequently, the Ministry of Education announced the First Information Education Comprehensive Plan for introducing artificial intelligence competence enhancing education into the education field in preparation for the intelligent information society based on artificial intelligence technologies. Therefore, this study collected 416 overseas papers related to the educational use of artificial intelligence from the Web of Science (WoS) in order to explore the potential for using artificial intelligence educationally. This study analyzed the research status and research topic by country, citation counts, network analysis on keywords of the collected data by using the bibliometrix package of R program. Through this, it was possible to identify the research trend on the educational use of artificial intelligence, currently being conducted in foreign countries. It is believed that it will be possible to obtain implications for the topics and directions to be studied in the information education for strengthening artificial intelligence education based on the results of this study.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.53-71
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• 2018

The purpose of this study was to identify bibliographic characteristics of the top level articles among KCI indexed academic articles. Unlike the existing analysis on citation and most-cited articles, this study analyzed their bibliographic characteristics. The 3,453 articles were collected from 17 social science fields in KCI. The characteristics of authors, institutions, publications, journals, and citations were analyzed. According to the result of the analysis, there was a difference in the ratio of single authors to co-authors and in the number of co-authors. The authors were mostly single authors or two co-authors. In general, the percentage of authors of one article was high. Second, the types of institutions were mostly universities, and there were differences in the number of institutions with authors in each field. And the frequency of the authors' affiliation appeared uneven. There were a number of excellent research institutes and authors depending on the field. Third, the average of years to take to become the top articles for publication was 11 years in 2018. Fourth, most of the published journals were KCI registered journals, and the influence of the journals was not a factor. Fifth, there were differences in the number of cited counts between fields. This study is meaningful to grasp the influencing factors on the bibliographic characteristics of the most-cited articles for the social science field.