Article Readiness Level Testing
(Level 1)
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(level 2)
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(level 3)
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Title: Straightforward, informative, and represents the contents of the article. | |||
Abstract: Concise but at least contain the problem, purpose, method, essential findings, and implications of the research.
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Keywords: Searchable by the search engine, truly represents the research intention. Don’t use phrases, only words. 5 to 6 keyword is recommended.
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Introduction: Directing the reader about the importance of the research. Presenting significant problems, a clear state of the art, gap analysis, and novel concepts to fill the gaps. End it with the purpose of research.
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Literature Review: The literature review submitted has answered all the theoretical problem formulations and has been explained briefly and clearly. | 5 | 2 | 1 |
Method: Clear and replicable. Reveals how research objectives are achieved with the appropriate tools, procedures, and stages.
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Results: Presenting experimental or survey data or any other data depends on the research type. The results are generally presented in clear and readable tables and figures.
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Discussion: Meaningful. A good discussion is written as a dialogue that reveals the progress of the research in comparison to previous research.
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Conclusion: Contains a summary of research results (the most critical research finding) related to the objectives written in the introduction.
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References: Accountable, about 80% of the literature is from primary sources (reputable journals) and up to date (last 10 years). Use reference management tools.
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Possibility Matrix
Probability | |
81-100
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Most likely to be published with little discussion with the Editor/Reviewer
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65-80
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Possible minor revision (if there are no mistakes in principle)
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50-64
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Possible major revision
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25-49
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Most likely to be rejected in the first stage
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Disclaimer: The Article Readiness Level Testing (ARLT) above is used by authors as a “tool” to optimize the peer-reviewing process. The decision to accept or reject an article for publication in IJMS is the authority of the Editor based on recommendations from reviewers.