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Most-read articles are from the articles published in 2022 during the last three month.

Review
Trends in research on ChatGPT and adoption-related issues discussed in articles: a narrative review
Sang-Jun Kim
Sci Ed. 2024;11(1):3-11.   Published online December 18, 2023
DOI: https://doi.org/10.6087/kcse.321
  • 3,420 View
  • 100 Download
AbstractAbstract PDFSupplementary Material
This review aims to provide guidance for those contemplating the use of ChatGPT, by sharing research trends and evaluation results discussed in various articles. For an objective and quantitative analysis, 1,105 articles published over a 7-month period, from December 2022 to June 2023, following the release of ChatGPT were collected. These articles were sourced from PubMed, Scopus, and Web of Science. Additionally, 140 research articles were selected, including archived preprints and Korean articles, to evaluate the performance of ChatGPT. The analysis of research trends revealed that related communities are rapidly and actively responding: the educational community is redefining its directions, the copyright and patent community is monitoring lawsuits related to artificial intelligence creations, the government is establishing laws to regulate and prevent potential harm, the journal publishing community is setting standards for whether artificial intelligence can be considered an author, and the medical community is publishing numerous articles exploring the potential of ChatGPT to support medical experts. A comparative analysis of research articles on ChatGPT’s performance suggests that it could serve as a valuable assistant in human intellectual activities and academic processes. However, its practical application requires careful consideration to overcome certain limitations. Both the general public and researchers should assess the adoption of ChatGPT based on accurate information, such as that provided in this review.
Original Article
Impact factor surge in Korean medical journals during the COVID-19 era: a bibliometric study
Chansu Park, Sejin Park, Hyeonseok Seo, Janghyeog Oh, Dongryeong Kim, Junha Kang, Hanul Kang, Hyunsung Kang, Yaechan Kim, Mi Ah Han
Sci Ed. 2024;11(1):55-61.   Published online December 18, 2023
DOI: https://doi.org/10.6087/kcse.320
  • 2,103 View
  • 52 Download
AbstractAbstract PDFSupplementary Material
Purpose: The multiyear COVID-19 pandemic has affected the volume and speed of publications in scientific journals. This study evaluated trends in the impact measures of international medical journals published in Korea, including the journal impact factor (JIF).
Methods
We selected Science Citation Index Expanded journals with the country/region set to Korea and the academic category classified as “clinical medicine” in Journal Citation Reports. Trends in indicators such as the JIF and Journal Citation Indicator (JCI) were assessed for journals with JIF information from 2018 to 2022. Ratios and differences between the measures were calculated to determine the extent of the change.
Results
We identified 43 journals, and the average JIF of those journals increased from 2.33 in 2018 and 2.50 in 2019 to 3.45 in 2020 and 3.86 in 2021. Other measures, such as the 5-year JIF and JCI, steadily increased, and the proportion of gold open access journals also increased significantly. However, the JCI and Eigenfactor scores remained steady or showed relatively small increases. Furthermore, impact measures declined in 2022, including a JIF decrease to 3.55.
Conclusion
We presented trends in quantitative measurements for international medical journals in Korea, and found an overall increase. Journals need to maintain a rigorous publication process to improve the quality of their research and the research community needs to exercise caution when using quantitative measures to evaluate journals. Further research is required to examine the quantitative indicators of journals, including their publication policies, research topics, and long-term trends.
Essay
Can training doctoral students to participate in peer review alleviate the shortage of peer reviewers in academic publishing?
Thong Minh Trinh
Sci Ed. 2024;11(1):73-76.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.331
  • 1,135 View
  • 51 Download
PDF
Case Study
Copyright policies of science and engineering open access journals indexed in Science Citation Index Expanded or Scopus, published by Korean academic societies: a case study
Dae Un Hong, Ju Yoen Lee
Sci Ed. 2024;11(1):62-72.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.330
  • 1,011 View
  • 37 Download
AbstractAbstract PDF
This article explores the challenges related to copyright policies in the context of science and engineering open access (OA) journals based in Korea. The English-language science and engineering OA journals published independently by Korean academic societies typically exhibit three common characteristics regarding their copyright and licensing policies. First, authors are generally required to transfer their copyrights. Second, the Creative Commons (CC) license terms are predominantly BY-NC (Attribution-NonCommercial), without providing authors the option to select alternative licensing terms. Third, the journals do not sufficiently protect the rights of the authors. From the analyses presented herein, it is evident that the current copyright and licensing policies of Korea’s English-language science and engineering OA journals lack a robust structure. These policies need to be revised to allow authors to retain copyright and require them to consent for the CC license terms it adopts, in order to align with the common practice among OA journals. Furthermore, to better protect authors’ rights, it would be beneficial to permit authors to choose the specific terms of the CC license for their articles.
Review
Influence of artificial intelligence and chatbots on research integrity and publication ethics
Payam Hosseinzadeh Kasani, Kee Hyun Cho, Jae-Won Jang, Cheol-Heui Yun
Sci Ed. 2024;11(1):12-25.   Published online January 25, 2024
DOI: https://doi.org/10.6087/kcse.323
  • 1,049 View
  • 61 Download
AbstractAbstract PDF
Artificial intelligence (AI)-powered chatbots are rapidly supplanting human-derived scholarly work in the fast-paced digital age. This necessitates a re-evaluation of our traditional research and publication ethics, which is the focus of this article. We explore the ethical issues that arise when AI chatbots are employed in research and publication. We critically examine the attribution of academic work, strategies for preventing plagiarism, the trustworthiness of AI-generated content, and the integration of empathy into these systems. Current approaches to ethical education, in our opinion, fall short of appropriately addressing these problems. We propose comprehensive initiatives to tackle these emerging ethical concerns. This review also examines the limitations of current chatbot detectors, underscoring the necessity for more sophisticated technology to safeguard academic integrity. The incorporation of AI and chatbots into the research environment is set to transform the way we approach scholarly inquiries. However, our study emphasizes the importance of employing these tools ethically within research and academia. As we move forward, it is of the utmost importance to concentrate on creating robust, flexible strategies and establishing comprehensive regulations that effectively align these potential technological developments with stringent ethical standards. We believe that this is an essential measure to ensure that the advancement of AI chatbots significantly augments the value of scholarly research activities, including publications, rather than introducing potential ethical quandaries.
Original Article
Research trends on resilience related to nursing and patients: a bibliometric analysis
Sukwon Hahn, Young Mi Ryu
Sci Ed. 2024;11(1):44-54.   Published online January 25, 2024
DOI: https://doi.org/10.6087/kcse.322
  • 968 View
  • 56 Download
AbstractAbstract PDF
Purpose: Resilience is an essential concept used to describe the ability to cope and adapt effectively in the face of loss, hardship, or adversity by patients, nurses, and nursing students. The purpose of this study was to identify research trends on resilience related to nursing and patients.
Methods
The Web of Science Core Collection database was searched on February 21, 2023, with the terms “resilienc*” in the title and “nurs* and “patient* in the topic. A total of 361 documents were extracted. A web-based analysis in R prepared using web-r.org was used to generate visualizations of publishing trends, journal ranks, authorship analysis, the most prolific nations, author collaboration patterns, a KeyWords Plus analysis, trend themes, and the most cited articles.
Results
Research reports on resilience related to nursing and patients were first published in 2007 and have shown a substantial increase since 2019, with more than 30 publications per year. The largest amount of related literature was published in the Journal of Nursing Management, and the Journal of Advanced Nursing included the largest number of citations. Rushton CH was the most prolific author, with six publications, and she was the author of the most cited study. The most productive country was the United States. The most frequently encountered KeyWords Plus terms were “burnout,” “stress,” and “health.”
Conclusion
The findings of this study can offer information to future researchers as well as the opportunity to conduct more novel studies on resilience in nursing.
Training Material
ChatGPT for editors: enhancing efficiency and effectiveness
Yunhee Whang
Sci Ed. 2024;11(1):84-90.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.332
  • 841 View
  • 45 Download
AbstractAbstract PDF
This tutorial examines how ChatGPT can assist journal editors in improving the efficiency and effectiveness of academic publishing. It highlights ChatGPT’s key characteristics, focusing on the use of “Custom instructions” to generate tailored responses and plugin integration for accessing up-to-date information. The tutorial presents practical advice and illustrative examples to demonstrate how editors can adeptly employ these features to improve their work practices. It covers the intricacies of developing advanced prompts and the application of zero-shot and few-shot prompting techniques across a range of editorial tasks, including literature reviews, training novice reviewers, and improving language quality. Furthermore, the tutorial addresses potential challenges inherent in using ChatGPT, which include a lack of precision and sensitivity to cultural nuances, the presence of biases, and a limited vocabulary in specialized fields, among others. The tutorial concludes by advocating for an integrated approach, combining ChatGPT’s technological advancements with the critical insight of human editors. This approach emphasizes that ChatGPT should be recognized not as a replacement for human judgment and expertise in editorial processes, but as a tool that plays a supportive and complementary role.
Meeting Report
Original Article
Adherence to the International Committee of Medical Journal Editors–recommended gender equity policy in nursing journals listed in MEDLINE or PubMed Central: a descriptive study
Eun Jeong Ko, Geum Hee Jeong
Sci Ed. 2024;11(1):33-37.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.328
  • 772 View
  • 28 Download
AbstractAbstract PDF
Purpose: The evolving landscape of nursing research emphasizes inclusive representation. The International Committee of Medical Journal Editors (ICMJE) has established guidelines to ensure the fair representation of various demographic variables, including age, sex, and ethnicity. This study aimed to evaluate the adherence of nursing journals indexed in MEDLINE or PubMed Central to the ICMJE’s directives on gender equity, given that journals indexed in MEDLINE and PubMed Central typically adhere to the ICMJE’s guidelines.
Methods
A descriptive literature review methodology was employed to analyze 160 nursing journals listed in two databases as of July 28, 2023. The website of each journal was searched, and the most recent original article from each was selected. These articles were then evaluated for their alignment with the ICMJE guidelines on gender equity. Descriptive statistics were applied to categorize and enumerate the cases.
Results
Of the articles reviewed from 160 journals, 115 dealt with human populations. Of these, 93 required a description of gender equity. Within this subset, 83 articles distinguished between the genders of human subjects. Gender-based interpretations were provided in 15 articles, while another 68 did not offer an interpretation of differences by gender. Among the 10 articles that did not delineate gender, only two provided a rationale for this omission.
Conclusion
Among recent articles published in the nursing journals indexed in MEDLINE and PubMed Central, only 16.1% presented clear gender analyses. These findings highlight the need for editors to strengthen their dedication to gender equity within their editorial policies.
Editorial
Reflecting on the past 10 years of Asian scholarly journals
Tae-Sul Seo
Sci Ed. 2024;11(1):1-2.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.326
  • 696 View
  • 30 Download
PDF
Case Study
Plagiarism detection in manuscripts submitted to the Journal of Surgical Sciences between 2020 and 2021: a case study
Florentina Mu?at, Dan Nicolae P?duraru, Alexandra Bolocan, Daniel Ion, Alexandru Constantinescu, Octavian Andronic
Sci Ed. 2023;10(2):149-153.   Published online August 17, 2023
DOI: https://doi.org/10.6087/kcse.313
  • 1,850 View
  • 248 Download
AbstractAbstract PDFSupplementary Material
The aim of this study was to share our experience with plagiarism detection in manuscripts submitted to the Journal of Surgical Sciences, a Romania-based medical journal, between 2020 and 2021. We analyzed similarity score reports from 200 articles submitted consecutively for publication between 2020 and 2021 generated by PlagScan, a software tool for plagiarism detection. The similarity score ranged from 0% to 92.4%, and 45 articles presented scores over 25.0%. According to PlagScan’s results, more than half of the submitted articles had a similarity score of more than 10% and one-third of them had a similarity score above 20%. Among submitted manuscripts with a similarity score of less than 20%, a larger proportion of the original research and review manuscripts than case reports used more than 10 sources. All articles with a similarity score below 20% were evaluated qualitatively before the final decision of rejection.
Original Articles
Co-authorship network analysis of North Korean chemistry researchers based on issues of Chemistry and Chemical Engineering published from 2008 to 2022: a bibliometric study
Eunmi Park, Ho-Yeol Yoon
Sci Ed. 2024;11(1):38-43.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.329
  • 685 View
  • 33 Download
AbstractAbstract PDFSupplementary Material
Purpose: This study conducted a comprehensive analysis of North Korean domestic journals, using scientific quantification methodologies to identify prominent researchers and research areas within the field of chemistry.
Methods
Data were collected from the journal Chemistry and Chemical Engineering published in North Korea. Through an analysis of co-authorship relations and literature reviews of papers authored by researchers who were highly influential in research networks, core research areas were identified.
Results
The researcher with the highest number of publications in the given period was Yong-Chol Lee, with 31 publications, followed closely by Gyun Kim, who also demonstrated significant research activity. When focusing on the last 5 years, Myeong-Cheol Hong emerged as a prominent figure. Yong-Chol Lee has expertise across diverse fields of chemistry, including fine chemicals, biochemistry, and mineral materials. Gyun Kim, in contrast, is recognized for his in-depth knowledge of organics, enzymes, processes, catalysis, fine chemicals, and industrial chemistry. Myung-Cheol Hong’s research primarily centers around organic chemical synthesis within the fine chemical domain. All three researchers are making substantial contributions to the chemical industry.
Conclusion
The findings of this study provide valuable insights into research trends in the field of chemistry in North Korea and contribute to a broader understanding of the discipline’s internal knowledge structure within the global academic community. This research is anticipated to be especially useful for scholars who are analyzing bibliographic information pertaining to North Korea.
How authors select covariates in the multivariate analysis of cancer studies in 10 oncology journals in Korea: a descriptive study
Mi Ah Han, Hae Ran Kim, Sang Eun Yoon, Sun Mi Park, Boyoung Kim, Seo-Hee Kim, So-Yeong Kim
Sci Ed. 2024;11(1):26-32.   Published online February 20, 2024
DOI: https://doi.org/10.6087/kcse.327
  • 666 View
  • 32 Download
AbstractAbstract PDFSupplementary Material
Purpose: Cancer is the leading cause of death in Korea, leading many investigators to focus on cancer research. We present the current practice of variable selection methods for multivariate analyses in cancer studies recently published in major oncology journals in Korea.
Methods
We included observational studies investigating associations between exposures and outcomes using multivariate analysis from 10 major oncology journals published in 2021 in KoreaMed, a Korean electronic database. Two reviewers independently and in duplicate performed the reference screening and data extraction. For each study included in this review, we collected important aspects of the variable selection methods in multivariate models, including the study characteristics, analytic methods, and covariate selection methods. The descriptive statistics of the data are presented.
Results
In total, 107 studies were included. None used prespecified covariate selection methods, and half of the studies did not provide enough information to classify covariate selection methods. Among the studies reporting selection methods, almost all studies only used data-driven methods, despite having study questions related to causality. The most commonly used method for variable selection was significance in the univariate model, with the outcome as the dependent variable.
Conclusion
Half of the included studies did not provide sufficient information to assess the variable selection method, and most used a limited data-driven method. We believe that the reporting of covariate selection methods requires improvement, and our results can be used to educate researchers, editors, and reviewers to increase the transparency and adequacy of covariate selection for multivariable analyses in observational studies.
Training Material
The evolution, benefits, and challenges of preprints and their interaction with journals
Pippa Smart
Sci Ed. 2022;9(1):79-84.   Published online February 20, 2022
DOI: https://doi.org/10.6087/kcse.269
  • 4,667 View
  • 301 Download
  • 7 Web of Science
  • 11 Crossref
AbstractAbstract PDF
This article presents the growth and development of preprints to help authors, editors, and publishers understand and adopt appropriate strategies for incorporating preprints within their scholarly communication strategies. The article considers: preprint history and evolution, integration of preprints and journals, and the benefits and disadvantages, and challenges that preprints offer. The article discusses the two largest and most established preprint servers, arXiv.org (established in 1991) and SSRN (1994), the OSF (Open Science Foundation) initiative that supported preprint growth (2010), bioRxiv (2013), and medRxiv (2019). It then discusses six different levels of acceptance of preprints within journals: uneasy relationship, acceptance of preprint articles, encouraging authors to preprint their articles, active participation with preprints, submerger by reviewing preprints, and finally merger and overlay models. It is notable that most journals now accept submissions that have been posted as preprints. The benefits of preprints include fast circulation, priority publication, increased visibility, community feedback, and contribution to open science. Disadvantages include information overload, inadequate quality assurance, citation dilution, information manipulation and inflation of results. As preprints become mainstream it is likely that they will benefit authors but disadvantage publishers and journals. Authors are encouraged to preprint their own articles but to be cautious about using preprints as the basis for their own research. Editors are encouraged to develop preprint policies and be aware that double-blind review is not possible with preprinting of articles and that allowing citations to preprints is to be encouraged. In conclusion, journal-related stakeholders should consider preprints as an unavoidable development, taking into consideration both the benefits and disadvantages.

Citations

Citations to this article as recorded by  
  • Seeing the forest for the trees and the changing seasons in the vast land of scholarly publishing
    Soo Jung Shin
    Science Editing.2024; 11(1): 81.     CrossRef
  • To preprint or not to preprint: A global researcher survey
    Rong Ni, Ludo Waltman
    Journal of the Association for Information Science and Technology.2024;[Epub]     CrossRef
  • Recent Issues in Medical Journal Publishing and Editing Policies: Adoption of Artificial Intelligence, Preprints, Open Peer Review, Model Text Recycling Policies, Best Practice in Scholarly Publishing 4th Version, and Country Names in Titles
    Sun Huh
    Neurointervention.2023; 18(1): 2.     CrossRef
  • Most Preprint Servers Allow the Publication of Opinion Papers
    Jaime A. Teixeira da Silva, Serhii Nazarovets
    Open Information Science.2023;[Epub]     CrossRef
  • The rise of preprints in earth sciences
    Olivier Pourret, Daniel Enrique Ibarra
    F1000Research.2023; 12: 561.     CrossRef
  • The rise of preprints in earth sciences
    Olivier Pourret, Daniel Enrique Ibarra
    F1000Research.2023; 12: 561.     CrossRef
  • Sharing the wealth: a proposal for discipline-based repositories of shared educational resources
    Ellen Austin
    Perspectives: Policy and Practice in Higher Education.2023; 27(4): 131.     CrossRef
  • The experiences of COVID-19 preprint authors: a survey of researchers about publishing and receiving feedback on their work during the pandemic
    Narmin Rzayeva, Susana Oliveira Henriques, Stephen Pinfield, Ludo Waltman
    PeerJ.2023; 11: e15864.     CrossRef
  • An attempt to explain the partial 'silent' withdrawal or retraction of a SAGE Advance preprint
    Jaime A. Teixeira da Silva
    Publishing Research.2023;[Epub]     CrossRef
  • The use and acceptability of preprints in health and social care settings: A scoping review
    Amanda Jane Blatch-Jones, Alejandra Recio Saucedo, Beth Giddins, Robin Haunschild
    PLOS ONE.2023; 18(9): e0291627.     CrossRef
  • Dissemination of Registered COVID-19 Clinical Trials (DIRECCT): a cross-sectional study
    Maia Salholz-Hillel, Molly Pugh-Jones, Nicole Hildebrand, Tjada A. Schult, Johannes Schwietering, Peter Grabitz, Benjamin Gregory Carlisle, Ben Goldacre, Daniel Strech, Nicholas J. DeVito
    BMC Medicine.2023;[Epub]     CrossRef
Original Article
Comparing the accuracy and effectiveness of Wordvice AI Proofreader to two automated editing tools and human editors
Kevin Heintz, Younghoon Roh, Jonghwan Lee
Sci Ed. 2022;9(1):37-45.   Published online February 20, 2022
DOI: https://doi.org/10.6087/kcse.261
  • 4,889 View
  • 319 Download
  • 1 Crossref
AbstractAbstract PDF
Purpose: Wordvice AI Proofreader is a recently developed web-based artificial intelligence-driven text processor that provides real-time automated proofreading and editing of user-input text. It aims to compare its accuracy and effectiveness to expert proofreading by human editors and two other popular proofreading applications—automated writing analysis tools of Google Docs, and Microsoft Word. Because this tool was primarily designed for use by academic authors to proofread their manuscript drafts, the comparison of this tool’s efficacy to other tools was intended to establish the usefulness of this particular field for these authors.
Methods
We performed a comparative analysis of proofreading completed by the Wordvice AI Proofreader, by experienced human academic editors, and by two other popular proofreading applications. The number of errors accurately reported and the overall usefulness of the vocabulary suggestions was measured using a General Language Evaluation Understanding metric and open dataset comparisons.
Results
In the majority of texts analyzed, the Wordvice AI Proofreader achieved performance levels at or near that of the human editors, identifying similar errors and offering comparable suggestions in the majority of sample passages. The Wordvice AI Proofreader also had higher performance and greater consistency than that of the other two proofreading applications evaluated.
Conclusion
We found that the overall functionality of the Wordvice artificial intelligence proofreading tool is comparable to that of a human proofreader and equal or superior to that of two other programs with built-in automated writing evaluation proofreaders used by tens of millions of users: Google Docs and Microsoft Word.

Citations

Citations to this article as recorded by  
  • Navigating the impact: a study of editors’ and proofreaders’ perceptions of AI tools in editing and proofreading
    Islam Al Sawi, Ahmed Alaa
    Discover Artificial Intelligence.2024;[Epub]     CrossRef

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