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Irene M Nadhiroh 2 Articles
Proposal of the S-score for measuring the performance of researchers, institutions, and journals in Indonesia
Lukman Lukman, Muhammad Dimyati, Yan Rianto, Imam Much Ibnu Subroto, Tole Sutikno, Deden Sumirat Hidayat, Irene M Nadhiroh, Deris Stiawan, Sam Farisa Chaerul Haviana, Ahmad Heryanto, Herman Yuliansyah
Sci Ed. 2018;5(2):135-141.   Published online August 20, 2018
DOI: https://doi.org/10.6087/kcse.138
  • 19,389 View
  • 301 Download
  • 9 Web of Science
  • 6 Crossref
AbstractAbstract PDF
This study aimed to propose a tool for measuring the research performance of researchers, institutions, and journals in Indonesia based on bibliometrics. Specifically, the output of this measurement tool, referred to as the S-score, is described, as well as its implementation on the main database portal in Indonesia. The S-score was developed by a focus group discussion. The following 8 evaluation items for journal accreditation were analyzed in the development process: journal title, aims and scope; publisher; editorial and journal management; quality of articles; writing style; format of PDF and e-journal; regularity; and dissemination. The elements of the S-score are as follows: number of journal article documents in Scopus, number of non-journalarticle in Scopus, number of citations in Scopus, number of citations in Google Scholar, the hindex in Scopus, and the h-index in Google Scholar. The S-score yields results ranging from S1 to S6. The above metrics were implemented on the Science and Technology Index, a database portal in Indonesia. The measurement tool developed through the focus group discussion was successfully implemented on the database portal. Its validity and reliability should be monitored consistently through regular assessments of S-scores. The S-score may be a good example of a metric for measuring the performance of researchers, institutions, and journals in countries where most journals are not indexed by Scopus.

Citations

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    Scientometrics.2023; 128(1): 735.     CrossRef
  • Indonesian Scientists’ Behavior Relative to Research Data Governance in Preventing WMD-Applicable Technology Transfer
    Lindung Parningotan Manik, Zaenal Akbar, Aris Yaman, Ariani Indrawati
    Publications.2022; 10(4): 50.     CrossRef
  • Systematic Design and Evaluation of a Citation Function Classification Scheme in Indonesian Journals
    Yaniasih Yaniasih, Indra Budi
    Publications.2021; 9(3): 27.     CrossRef
  • Policies of scholarly journal accreditation in Indonesia
    Prakoso Bhairawa Putera, Suryanto Suryanto, Sinta Ningrum, Ida Widianingsih, Yan Rianto
    Science Editing.2021; 8(2): 166.     CrossRef
  • Design data collection tool and weighting classification of authors in their scholar outputs based on percent-contribution-indicated (PCI) method
    A F Rochim, T Nugraha, A P Widodo, D Eridani, K T Martono
    Journal of Physics: Conference Series.2021; 1943(1): 012111.     CrossRef
Citation performance of Indonesian scholarly journals indexed in Scopus from Scopus and Google Scholar
Lukman Lukman, Yan Rianto, Shidiq Al Hakim, Irene M Nadhiroh, Deden Sumirat Hidayat
Sci Ed. 2018;5(1):53-58.   Published online February 19, 2018
DOI: https://doi.org/10.6087/kcse.119
  • 14,023 View
  • 329 Download
  • 4 Web of Science
  • 6 Crossref
AbstractAbstract PDFSupplementary Material
Citation frequency is an important factor for estimating the quality of a scientific journal, and the number of citations that an academic paper receives is often used as a measure of its scientific impact. This study aimed to characterize the citation performance of scientific journals published by Indonesian publishers that have been indexed in Scopus by analyzing the number of citations available in the Scopus database and Google Scholar. The results of the study identified 30 Indonesian journals that have been Scopus-indexed, of which 22 were listed in SCImago Journal Rank up to October 2017. Journals in the engineering field were the most cited, with 2,427 citations, including 930 self-citations. A large proportion of the citations were of recently-founded journals. The mean proportional difference in the citation frequency between Scopus and Google Scholar was 14.71%.

Citations

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  • Research trends in engineering education research through bibliometric analysis
    Sergey V. Kondrashev, Elena I. Vavulskaia, Valentina I. Burenina, Alexey I. Prokopyev, Gulnara R. Ibraeva, Svetlana A. Nikitina
    Eurasia Journal of Mathematics, Science and Technology Education.2024; 20(7): em2476.     CrossRef
  • Bibliometric analysis of the correlation between H. pylori and inflammatory bowel disease
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    JGH Open.2024;[Epub]     CrossRef
  • Indonesian Scientists’ Behavior Relative to Research Data Governance in Preventing WMD-Applicable Technology Transfer
    Lindung Parningotan Manik, Zaenal Akbar, Aris Yaman, Ariani Indrawati
    Publications.2022; 10(4): 50.     CrossRef
  • Evolution of the intellectual structure of clothing and textiles literature
    Joon-Ho Seon, Seong Eun Kim, Hyun-Jung Lee, Kyu-Hye Lee
    The Research Journal of the Costume Culture.2019; 27(4): 299.     CrossRef
  • Why and how do we keep editing local medical journals in an era of information overload?
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    Science Editing.2018; 5(2): 150.     CrossRef

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