• Journal of Korea Technology Innovation Society
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• v.17 no.2
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• pp.334-354
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• 2014

This study aims to analyze the research trend of Korean medicine based on social network analysis. To do this, a dataset has been collected from KCI (Korea Citation Index) database. According to the results, we have identify the longitudinal trend of the number of papers, journals, organizations and key words in this field. Moreover, based on the nodes' centrality of co-author network, we have found a core journal (i.e. Korean Journal of Oriental Physiology and Pathology), a hub institution (i.e. Kyunghee university) and two main key words (i.e. anti-oxidation and acupuncture) in the research network. In conclusion, integrating field experts' tacit knowledge in Korean medicine studies with the results of the explicit social network analysis on the research trend, we put forward further policy implications with regard to R&D strategies in this field.

• Journal of Korean Medical Science
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• v.33 no.48
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• pp.305.1-305.5
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• 2018

Background: In 1997 the Korean Association of Medical Journal Editors (KAMJE) instituted a program to evaluate member journals. Journals that passed the initial evaluation were indexed in the KoreaMed. Here, we report changes in measures of quality of the KAMJE member journals during the last 20 years. Methods: Quality measures used in the study comprised 3 assessment categories; self-assessment by journal editors, assessment of the journals by KAMJE reviewers, and by Korean health science librarians. Each used detailed criteria to score the journals on a scale of 0 to 5 or 6 in multiple dimensions. We compared scores at baseline evaluation and those after 7 years for 129 journals and compared improvements in journals indexed vs. not-indexed by the Web of Science (Science Citation Index Expanded; SCIE). Results: Among 251 KAMJE member journals at the end of 2015, 227 passed evaluation criteria and 129 (56%) had both baseline and 7-year follow-up assessment data. The journals showed improvement overall (increase in median [interquartile range; IQR] score from baseline, 0.47 [0.64]; 95% confidence interval [CI], 0.44-0.61; P < 0.001) and within each category (median [IQR] increase by editor's assessment, 0.17 [0.83]; 95% CI, 0.04-0.26; P = 0.007; by reviewer's, 0.45 [1.00]; 95% CI, 0.29-0.57; P < 0.001; by librarian's, 1.75 [1.08]; 95% CI, 1.77-2.18, P < 0.001). Before the foundation of KAMJE in 1996, there were only 5 Korean medical journals indexed in the MEDLINE and none in SCIE, but 24 journals in the MEDLINE and 34 journals in SCIE were indexed by 2016. Conclusion: The KAMJE journal evaluation program successfully contributes improving the quality of the member journals.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.85-97
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• 2021

In this paper, in order to support rapid and effective decision-making and response in disaster situations, we identified the author's organization of academic research papers and conducted a collaborative relationship analysis study based on this. For this purpose, 2,308 papers in 69 Korean academic journals classified by disaster and safety type were selected for analysis and experimental data were constructed based on the Korea Science Citation Database (KSCD) and institutional identification data provided by KISTI. Collaborative relationship analysis was conducted for each of the four units (Institution, Institution type, Institution region and University department type). First, statistical status such as frequency of appearance was compared, and basic properties and main centrality index of each co-occurrence network were calculated and analyzed using Social Network Analysis Method. In addition, a visualization map was created and presented for each network so that the collaborative relationship could be viewed and understood as a whole. The results of this study are expected to contribute to the search activities of institutions and cooperative groups that support effective disaster response and to lay the foundation for the information service system.

• Journal of the Korean Society for information Management
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• v.34 no.3
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• pp.251-267
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• 2017

This study aimed to analyze open access features of 1,890 Korean scientific journals registered in the Korea Citation Index (KCI). To this end, this study classified open access features of the target scientific journals into two main aspects, free access and free redistribution. The analysis results indicated that the target scientific journals had strong free access aspects. Based on websites, 67% of the target scientific journals allowed for free access without a login process and based on free database, 48% provided free access. On the other hand, the target scientific journals had weaker free redistribution aspects compared to their free access aspects. Only 14% of them offered the CC (creative commons) license. Another finding was that there were clear differences in open access aspects by academic field. Medicine, pharmacy, natural science, agriculture, fisheries, oceanography, and engineering had stronger open access aspects than humanities, sociology, arts, physical education, and interdisciplinary science. It appears that the difference was caused by the presence or absence of organizations supporting distribution of scientific journals of the fields concerned. To narrow the gap, it is recommended that the open access governance system is established to set up open access policies for Korean scientific journals regardless of academic fields and to support them.

• Journal of Oriental Neuropsychiatry
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• v.23 no.1
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• pp.93-114
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• 2012

Objective : This study aimed to review the performance of traditional herbal prescriptions for treating dementia and present a strategy for research on dementia therapy utilizing herbal medicine. Methods : A definition was made to clarify the technology regarding the development of herbal prescriptions for treating dementia. The queries were compounded based on the initial keywords provided by experts in the field, then applied to the Web of Science database search engines from January 1986 to September 2011 to search related scientific articles. Before performing the analysis, papers were extracted from the initial search reviewed by experts and 80 articles were selected. Then, the selected papers were analyzed in terms of publish year, country, and type of herbal prescriptions. Furthermore, the research performance evaluation for treating dementia by herbal prescriptions was also created in terms of country and organization based on forward citation analysis. In addition to, for the evaluation regarding research quality, we classified and reviewed papers into two types: clinical studies and experimental studies. Results : According to the quantitative information analysis of 80 articles, the number of papers has increased by 21.9% per the yearly mean from 1995, and Japan had the largest portion within this research field. There were 34 kinds of traditional herbal prescriptions, among them Ukgansan had the highest number of studies followed by Jodeungsan, Dangkisoosan and so on. In addition, quality index as calculated by cites per paper is higher than average in Switzerland, Turkey and Japan. In the view of the evaluation on quality there were 12 clinical studies, 8 RCT reported that herbal prescriptions had efficacy at cognition, behavioral & psychological symptoms (BPSD) and activity of daily life (ADL) in various type of dementia. In experimental studies most of the studies were performed using animal models. The studies using Ukgansan were aimed at improving BPSD. The papers studied with Jodeungsan and Dangkisoosan targeted vascular dementia. Conclusions : In this study, research to develop traditional herbal prescriptions for treating dementia has the potential to improve symptoms since herbal medicines work as both multi-function and multi-target in dementia with multiple pathological or neurotoxic pathways. Therefore, the results of the research should be used in order to establish strategies to develop technology for treating dementia with traditional herbal prescriptions in the future.

• Asian Pacific Journal of Cancer Prevention
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• v.15 no.15
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• pp.6131-6136
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• 2014

Objective: Epidemiology studies have reported conflicting results between glutathione S-transferase Mu-1 (GSTM1), glutathione S-transferase theta-1 (GSTT1) and glutathione S-transferase pi-1 (GSTP1) and ovarian cancer (OC) susceptibility. In this study, an updated meta-analysis was applied to determine whether the deletion of GSTM1, GSTT1 and GSTP1 has an influence on OC susceptibility. Methods: A published literature search was performed through PubMed, Embase, Cochrane Library, and Science Citation Index Expanded database for articles published in English. Pooled odds ratios (ORs) and 95% confidence intervals (95%CIs) were calculated using random or fixed effects models. Heterogeneity between studies was assessed using the Cochrane Q test and $I^2$ statistics. Sub-group analysis was conducted to explore the sources of heterogeneity. Sensitivity analysis was employed to evaluate the respective influence of each study on the overall estimate. Results: In total, 10 published studies were included in the final analysis. The combined analysis revealed that there was no significant association between GSTM1 null genotype and OC risk (OR=1.01, 95%CI: 0.91-1.12). Additionally, there was no significant association between GSTT1 genetic polymorphisms and OC risk (OR=0.98, 95% CI: 0.85-1.13). Similalry, no significant associations were found concerning the GSTP1 rs1695 locus and OC risk. Meanwhile, subgroup analysis did not show a significant increase in eligible studies with low heterogeneity. However, sensitivity analysis, publication bias and cumulative analysis demonstrated the reliability and stability of the current meta-analysis. Conclusions: These findings suggest that GSTs genetic polymorphisms may not contribute to OC susceptibility. Large epidemiological studies with the combination of GSTM1 null, GSTT1 null and GSTP1 Ile105Val polymorphisms and more specific histological subtypes of OC are needed to prove our findings.

• Journal of the Korean Society for Library and Information Science
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• v.28
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• pp.287-299
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• 1995

지금까지 국내 연구자들이 SCI 학술지에 발표한 의학논문의 수가 아주 미미하기 때문에 전 세계 학자들이 발표한 SCI 전체논문 중 한국논문이 차지하는 비중은 지극히 낮은 것으로 보인다. 따라서, 본 연구에서는 1980년부터 1990년 사이에 국내에 있는 의학 관련기관의 연구자들이 SCI 학술지에 발표한 논문이 SCI 전체 논문 중 차지하는 비중(Percentage Contribution from Korea to SCI Database)을 47개 의학분야별로 조사하였다. 또한. 본 연구에서는 "국제적으로 영향력 있는 학술연구 활동실적(i.e., Mainstream Productivity)"이 타 분야보다 뛰어난 한국의 의학분야를 밝히기 위하여. SCI 학술지에 발표된 모든 한국 의학논문 중 한 분야의 논문이 자치하는 몫(Percentage Share)을 SCI 전체 논문 중 그 분야의 논문이 차지하는 몫으로 나누어 그 상대적 크기를 분석함으로써, 우리나라 학자들의 Mainstream Productivity Ratio(R)를 각 분야별로 측정하였다. (R=1은 SCI 의학 학술지에 발표된 모든 논문 중에서 어떤한 분야의 논문이 차지하는 비율만큼 한국에서도 그 분야의 논문이 SCI 학술지에 투고되었다는 의미이다.) 1980년에서 1990년 사이에 한국 학자들에 의하여 SCI에 발표된 의학논문이 SCI 전체 의학논문 중에서 차지하는 비율은 $0.051\%$였다. 각 의학 분야별로는, Biotechnology & applied microbiology의 기여도가 $0.8\%$를 차지하여 한국 최고를 기록하였다. 전 세계 문헌의 $1\%$ 이상을 생산한 의학 분야는 없었다. 전 세계 문헌의 $0.1\%$ 이상을 SCI 학술지에 게재한 의학분야는 47개 중 6개인데, 위에 언급한 Biotechnology & applied microbiology를 제외하면 $0.1\%$에서 $0.2\%$ 사이의 기여도를 보였다. 최다 편수의 논문을 낸 Pharmacology 8l Pharmacy$(0.075\%)$나 두 번째로 논문수가 많았던 Biochemisty & molecular biology$(0.054\%)$의 기여도는 $0.1\%$에 미치지 못하였다. 조사대상이 된 47개 의학분야 중 27개 분야에서 예상된 것보다 상대적으로 적은수(R<1)의 한국 논문이 SCI 학술지에 게재되었다. Mainstream Productivity Ratio가 3보다 큰 분야는 4개인데, 그 중 Biotechnology & applied microbiology는 R=15.63으로 아주 월등한 논문 발표실적을 올렸다. Dermatology & venereal diseases(3.02)와 Engineering, biomedical(3.75)도 국제적으로 영향력 있는 학술지에 논문 발표실적이 뛰어난 의학분야이다.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.411-438
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• 2024

This study aims to identify and comprehensively view health information-related research trends using a bibliometric analysis. To this end, 1,193 papers from 2002 to 2023 related to "health information" were collected through the Korea Citation Index (KCI) database and analyzed in diverse aspects: research trends by period, academic fields, intellectual structure, and keyword changes. Results indicated that the number of papers related to health information continued to increase and has been decreasing since 2021. The main academic fields of health information-related research included "biomedical engineering," "preventive medicine/occupational environmental medicine," "law," "nursing," "library and information science," and "interdisciplinary research." Moreover, a co-word analysis was performed to understand the intellectual structure of research related to health information. As a result of applying the parallel nearest neighbor clustering (PNNC) algorithm to identify the structure and cluster of the derived network, four clusters and 17 subgroups belonging to them could be identified, centering on two conglomerates: "medical engineering perspective on health information" and "social science perspective on health information." An inflection point analysis was attempted to track the timing of change in the academic field and keywords, and common changes were observed between 2010 and 2011. Finally, a strategy diagram was derived through the average publication year and word frequency, and high-frequency keywords were presented by dividing them into "promising," "growth," and "mature." Unlike previous studies that mainly focused on content analysis, this study is meaningful in that it viewed the research area related to health information from an integrated perspective using various bibliometric methods.