Latest Articles from European Science Editing Latest 2 Articles from European Science Editing https://ese.arphahub.com/ Fri, 29 Mar 2024 08:41:08 +0200 Pensoft FeedCreator https://ese.arphahub.com/i/logo.jpg Latest Articles from European Science Editing https://ese.arphahub.com/ Research collaboration between global North and global South assessed in terms of published output: a case study of Australia and Vietnam https://ese.arphahub.com/article/106882/ European Science Editing 49: e106882

DOI: 10.3897/ese.2023.e106882

Authors: Hiep-Hung Pham, Thanh Thao Phan, Minh-Trang Do, Dinh-Hai Luong

Abstract: Background: Vietnam and Australia have a long-standing history of collaboration in various fields, notably education, science, and technology. However, the results of this partnership remain indeterminate.Objectives: The aim of this study was to examine the current state of research coop-eration between Australia and Vietnam with reference to the following aspects: (1) increase in the number of research publications over time; (2) proportion of open access (OA) publications in total publications; (3) collaboration involving countries other than Australia and Vietnam; (4) funding sources; (5) top institutions; (6) subject areas; and (7) research topics.Methods: Scopus data set was analysed to identify those papers with two or more authors, with at least one author from Australia and at least one from Vietnam.Results: Most (nearly 84%) of research papers arising out of such collaborative research were published between 2014 and 2022 (7020 of the total of 8460 documents), and almost half (49.6%) of those are OA. Besides Australia and Vietnam, the authors of those papers were from other countries as well nor were the agencies that funded the research reported in those papers limited to Australia or Vietnam. Among the countries involved in terms of co-authorship or funding, the United States was the most influential. The institutional collaborations formed three distinct clusters, each with a varying number of members and a different university at the core (Australian in two clusters and Vietnamese in the third). Medicine was the most frequent field of collaborative research, and the most frequent topics were Vietnam, coronavirus disease 2019, and climate change.Conclusions: The findings offer useful insights to policymakers as well as to senior management of academic institutes in Vietnam and Australia. The study also extends our understanding of collaborative research between the Global North and the Global South.

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Original Article Fri, 8 Dec 2023 20:00:00 +0200
The ABC of linear regression analysis: What every author and editor should know https://ese.arphahub.com/article/63780/ European Science Editing 47: e63780

DOI: 10.3897/ese.2021.e63780

Authors: Ksenija Bazdaric, Dina Sverko, Ivan Salaric, Anna Martinovic, Marko Lucijanic

Abstract: Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. Linear regression is based on linear correlation, and assumes that change in one variable is accompanied by a proportional change in another variable. Simple linear regression, or bivariate regression, is used for predicting the value of one variable from another variable (predictor); however, multiple linear regression, which enables us to analyse more than one predictor or variable, is more commonly used. This paper explains both simple and multiple linear regressions illustrated with an example of analysis and also discusses some common errors in presenting the results of regression, including inappropriate titles, causal language, inappropriate conclusions, and misinterpretation.

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Review Tue, 21 Sep 2021 10:00:00 +0300