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Original Articles
- Subject area mapping of Indonesian journals from GARUDA (Garba Rujukan Digital) and SINTA (Science Technology Index) databases: a descriptive study
- Eko Didik Widianto, Hadiyanto, Teddy Mantoro, Arseto Satriyo Nugroho
- Sci Ed. 2025;12(2):175-182. Published online August 7, 2025
- DOI: https://doi.org/10.6087/kcse.382
- 1,552 View
- 62 Download
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Abstract
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Supplementary Material - Purpose
Studies examining the subject coverage of journals within databases are crucial for scholars and researchers seeking appropriate venues for their articles. This study investigates the characteristics of Indonesian journals by subject area, as listed in GARUDA (Garba Rujukan Digital) and SINTA (Science Technology Index), the leading Indonesian journal databases, thereby addressing the need for mapping journal subject areas within a specific national context.
Methods
We employed web mining techniques to collect records from 26,726 journals listed in GARUDA and 13,522 accredited journals from SINTA. Four aspects were analyzed: the breadth of subjects covered by each journal, the number of journals in each subject area, relationships among covered subjects, and the top publisher with the largest number of journals.
Results
Most subject area information was available on both databases. Our analysis revealed that journals in GARUDA exhibited a broader range and coverage of subject areas than those in SINTA, with a median of two subjects per journal in GARUDA versus one in SINTA. Indonesian single-subject journals were predominantly focused on “education,” “social,” and “economy,” while multiarea journals most frequently combined subsets such as {“science,” “engineering”}, {“education,” “social”}, and {“education,” “social,” “humanities”}. Universitas Negeri Semarang, a higher education institution, emerged as a leading publisher with a diverse portfolio of journals across subject areas.
Conclusion
This study presents a subject area map of Indonesian journals and underscores the critical role of higher education institutions in publishing across all subject areas. The findings illustrate the diversity and interrelationships among journal subject areas, providing a foundation for future research on their influence on journal impact, author diversity, and interdisciplinary collaboration.
- A bibliometric analysis of COVID-19 research published in nursing journals
- Juyeon Oh, Aekyung Kim
- Sci Ed. 2020;7(2):118-124. Published online August 20, 2020
- DOI: https://doi.org/10.6087/kcse.205
- 11,643 View
- 318 Download
- 26 Web of Science
- 26 Crossref
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Abstract
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- Purpose
This bibliometric study investigated the current state of documents on coronavirus disease 2019 (COVID-19) published in nursing journals. The analysis focused on the description of most productive journals, institutions, and countries, as well as the characteristics of the documents.
Methods
The publications analyzed in this study were retrieved from the Web of Science database with search keywords. The searches used to establish the study dataset were last updated on July 10, 2020. The inclusion criteria were relevant English-language publications in journals published in the Science Citation Index Expanded or Social Science Citation Index. Content analysis of original articles and reviews was done.
Results
An analysis of 125 publications on COVID-19 from 48 journals showed that the most productive journal and country were the Journal of Clinical Nursing (n = 18) and the USA (n = 53), respectively. Original articles (n = 27, 21.6%) and review papers (n = 4, 3.2%) accounted for 24.8% of the articles, and the highest number of papers were found in early access (published ahead of print) (n = 51, 40.8%) and Q1 journals (n = 73, 58.4%). The content analysis found 10 data-based original articles or reviews, which dealt with the topics of nurse training (n = 2), nurses’ psychosocial status (n = 2), nursing research methodology (n = 1), nursing guidelines (n = 4), and protection for nurses (n = 1).
Conclusion
This study presents the current situation of nursing research on COVID-19 based on an analysis of publications in nursing journals and provides meaningful information to nursing researchers and editorial board members. The number of data-based original articles on nursing related to COVID-19 remains low. -
Citations
Citations to this article as recorded by
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