• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.283-309
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• 2014

A rhetorical segment in traditional abstract displaying a sign of particular function is frequently referred to as a move. One of the most common moves is the Background, Aim, Method, Results, and Conclusion (BAMRC). The objective of this paper is to investigate the move patterns of research article abstracts in the field of social sciences based on BAMRC moves. Using the Scopus bibliographic database, a total of 467 abstracts from 298 research journals in the field of social sciences were analyzed. The result showed a wide range of move patterns. The implication of the result of this study suggests the existing traditional abstracts in social sciences might not be sufficiently "informative" due to missing moves and due to various move orders. To this end, automatically mapping moves in traditional abstracts to sub-headings in structured abstracts can be a more challenging task, requiring additional procedures to resolve these types of compatibility issues. Future studies can compare this study's result to other fields or disciplines within social sciences in order to find a more precise nature of abstracts in the field of social sciences.

• Journal of the Korean Society for information Management
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• v.29 no.1
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• pp.331-349
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• 2012

Structured abstracts have been regarded as an essential information factor to represent topics of journal articles. This study aims to provide an unconventional view to utilize structured abstracts with the analysis on sub fields of a structured abstract in depth. In this study, a structured abstract was segmented into four fields, namely, purpose, design, findings, and values/implications. Each field was compared in the performance analysis of document clustering. In result, the purpose statement of an abstract affected on the performance of journal article clustering more than any other fields. Furthermore, certain types of keywords were identified to be excluded in the document clustering to improve clustering performance, especially by Within group average clustering method. These keywords had stronger relationship to a specific abstract field such as research design than the topic of an article.

• Journal of Korean Library and Information Science Society
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• v.47 no.1
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• pp.199-216
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• 2016

This study aimed to investigate the current uses of subheadings that appear in medical science journal abstracts and to discuss its potential implications for medical science from the perspectives of library and information science. To conduct this study, the following nine sub-fields in medical science were selected: cancer, ethics, genetics, infectious disease, neurology, pediatrics, immunology, psychiatry, and cardiology. Random sample data were drawn based on the years 2010 to 2015 from the PubMed database. This study investigated the extent of the uses of subheadings, variants of subheadings, and common formation of subheadings with the help of a frequency analysis. The specific findings of this study are summarized as the following: 1) more traditional abstracts are used across almost all sub-fields of medical science; 2) on average, 4.1 subheadings were used in the sample dataset; and 3) the most frequently used set of subheadings is OBJECTIVES, METHODS, RESULTS, and CONCLUSIONS. This subheading set appears to be the de facto standard across all medical science journals. The analysis of subheadings in structured abstracts and the issues raised in this study can be beneficial for journal editors and other academics in medical science as well as library and information science.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.1
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• pp.169-187
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• 1998

The primary purpose of this study is to compare printed index and abstract user's behaviours with digital index and abstract user's behaviours, and to verify of structured characteristics of a printed index and abstract. The major findings are as follows: (1) When the research topic is not specified enough, users tend to rely on printed indexes and abstracts search, whereas they utilize digital form in order to do retrospective search in the stage of research when the topic is determined. (2) Printed index and abstract users are expecting small number of literatures in search, whereas digital index and abstract users are expecting large number of literatures to be found The former are more satisfied with the result of search than the latter. (3) Digital index and abstract users experience more search failure than printed Index and abstract users. When they fail to find wanted materials, both users turn to the other form of indexes and abstracts. (4) Printed index and abstract users shows significantly less knowledge on online searching than digital index and abstract users.

• Journal of the Ergonomics Society of Korea
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• v.33 no.1
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• pp.69-76
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• 2014

Objective: This study aims to present literature providing researchers with insights on specific fields of research and highlighting the major issues in the research topics. A systematic review is suggested using content analysis on literatures regarding "visual search", "eye movement", and "eye track". Background: Literature review can be classified as "narrative" or "systematic" depending on its approach in structuring the content of the research. Narrative review is a traditional approach that describes the current state of a study field and discusses relevant topics. However, since literatures on specific area cover a broad range, reviewers inherently give subjective weight on specific issues. On the contrary, systematic review applies explicit structured methodology to observe the study trends quantitatively. Method: We collected meta-data of journal papers using three search keywords: visual search, eye movement, and eye track. The collected information contains an unstructured data set including many natural languages which compose titles and abstracts, while the keyword of the journal paper is the only structured one. Based on the collected terms, seven categories were evaluated by inductive categorization and quantitative analysis from the chronological trend of the research area. Results: Unstructured information contains heavier content on "stimuli" and "condition" categories as compared with structured information. Studies on visual search cover a wide range of cognitive area whereas studies on eye movement and eye track are closely related to the physiological aspect. In addition, experimental studies show an increasing trend as opposed to the theoretical studies. Conclusion: By systematic review, we could quantitatively identify the characteristic of the research keyword which presented specific research topics. We also found out that the structured information was more suitable to observe the aim of the research. Chronological analysis on the structured keyword data showed that studies on "physical eye movement" and "cognitive process" were jointly studied in increasing fashion. Application: While conventional narrative literature reviews were largely dependent on authors' instinct, quantitative approach enabled more objective and macroscopic views. Moreover, the characteristics of information type were specified by comparing unstructured and structured information. Systematic literature review also could be used to support the authors' instinct in narrative literature reviews.

• Journal of Distribution Science
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• v.16 no.11
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• pp.11-19
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• 2018

Purpose - The purpose of this study is to provide a systematic literature review related to environmental upgrading in Global Value Chains (GVCs) and suggest possible future research agendas in advancing environmental upgrading and ultimately GVC boundaries. Research design, data, and methodology - The academic databases such as Science Direct, EBSCO, ProQuest and Google Scholar were explored using a structured keywords searches to identify relevant research in the environmental upgrading area in GVCs. Only relevant papers were selected after reading the abstracts, and analyzed using qualitative content analysis. Results - Overall analysis of the literature review suggests two critical developments in the field of environmental upgrading. The first and foremost major development is an enhanced understanding of environmental upgrading as a concept and phenomenon. The second significant development is that environmental upgrading has been empirically proven to be fundamentally based on relationships and power structures within GVCs. Conclusions - Environmental upgrading in GVCs has been studied individually and not in relation to financial outcomes and social upgrading. Hence, the relationship of environmental upgrading with financial outcomes and social upgrading needs to be investigated. Furthermore, the impact of the interaction of varying institutional structures on environmental upgrading is worthy of future study.

• Archives of Plastic Surgery
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• v.49 no.4
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• pp.538-542
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• 2022

Performing the first peer review of a plastic surgical research article can be an overwhelming task. However, it is an essential scholarly skill and peer review is used in a multitude of settings: evaluation of journal articles, conference abstracts, and research proposals. Furthermore, peer reviewing provides more than just the opportunity to read and help improve other's work: peer reviewing can improve your own scientific writing. A structured approach is possible and recommended. In these ten tips, we provide guidance on how to successfully conduct the first peer reviews. The ten tips on peer reviewing concern: 1) Appropriateness: are you qualified and prepared to perform the peer review? 2) Familiarization with the journal and its reviewing guidelines; 3) Gathering first impressions of the paper followed by specific tips for reviewing; 4) the abstract and introduction; 5) Materials, methods, and results (including statistical considerations); and 6) discussion, conclusion, and references. Tip 7 concerns writing and structuring the review; Tips 7 and 8 describe how to provide constructive criticism and understanding the limits of your expertise. Finally, Tip 10 details why-and how-you become a peer reviewer. Peer review can be done by any plastic surgeon, not just those interested in an academic career. These ten tips provide useful insights for both the aspiring and the experienced peer reviewer. In conclusion, a systematic approach to peer reviewing is possible and recommended, and can help you getting started to provide quality peer reviews that contribute to moving the field of plastic surgery forward.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.332-344
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• 2012

Purpose: The purpose of this study was to identify the current status of Asian research and suggest a direction for the future development of nursing research in Asian countries Methods: To examine the current status of Asian nursing research, 539 abstracts presented at the 2011 East Asian Forum of Nursing Scholars in Seoul were analyzed according to the structured analysis format. Results: The results showed that most of the studies (77.6%) were quantitative design, but qualitative design was also conducted. Most of quantitative studies were quasi experimental designs and questionnaires are most frequently used for data collection. Only 8.5% of the studies used physiological measures. Key words were categorized into four nursing metaparadigms: clients, environment, health and nursing. The most frequently mentioned domain was health. Main themes of research were elderly, chronic disease, health promotion, and nurse/nursing management. Most frequently used key words were elderly, social support, depression, and stress. Conclusion: Major trends were similar in Asian countries, and mostly conducted with quantitative designs. Research topics were varied and major interests in nursing research topics were elderly, health promotion, and mental health in all countries. We need to develop nursing science based on closer communication and cooperation among Asian countries.

• Journal of Korean Library and Information Science Society
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• v.50 no.1
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• pp.333-356
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• 2019

Open access has emerged as an alternative to overcome the crisis brought by scholarly communication on commercial publishers. The purpose of this study is to suggest the intellectual structure that reflects the newest research trend in the field of open access, to identify how the subject area is structured by using co-word analysis, and compare and analyze with the existing study. In order to do this, the total number of dataset was 761 papers collected from Web of Science during the period from January 2012 to November 2018 using information science and 2,321 keywords as a noun phase are extracted from titles and abstracts. To analyze the intellectual structure of open access, 13 topic clusters are extracted by network analysis and the keywords with higher centrallity are drawn by visualizing the intellectual relationship. In addition, after clustering analysis, the relationship was analyzed by plotting the result on the multidimensional scaling map. As a result, it is expected that our research helps the research direction of open access for the future.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.155-174
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• 2022

From January 2020 to October 2021, more than 500,000 academic studies related to COVID-19 (Coronavirus-2, a fatal respiratory syndrome) have been published. The rapid increase in the number of papers related to COVID-19 is putting time and technical constraints on healthcare professionals and policy makers to quickly find important research. Therefore, in this study, we propose a method of extracting useful information from text data of extensive literature using LDA and Word2vec algorithm. Papers related to keywords to be searched were extracted from papers related to COVID-19, and detailed topics were identified. The data used the CORD-19 data set on Kaggle, a free academic resource prepared by major research groups and the White House to respond to the COVID-19 pandemic, updated weekly. The research methods are divided into two main categories. First, 41,062 articles were collected through data filtering and pre-processing of the abstracts of 47,110 academic papers including full text. For this purpose, the number of publications related to COVID-19 by year was analyzed through exploratory data analysis using a Python program, and the top 10 journals under active research were identified. LDA and Word2vec algorithm were used to derive research topics related to COVID-19, and after analyzing related words, similarity was measured. Second, papers containing 'vaccine' and 'treatment' were extracted from among the topics derived from all papers, and a total of 4,555 papers related to 'vaccine' and 5,971 papers related to 'treatment' were extracted. did For each collected paper, detailed topics were analyzed using LDA and Word2vec algorithms, and a clustering method through PCA dimension reduction was applied to visualize groups of papers with similar themes using the t-SNE algorithm. A noteworthy point from the results of this study is that the topics that were not derived from the topics derived for all papers being researched in relation to COVID-19 (