A growing interest for demonstrating prestige and status of higher education institutions has spurred the establishment of several international ranking systems. A major percentage of these rankings include parameters related to scientific productivity. Here, we examined the differences between diverse rankings as well as correlation with bibliometric parameters and disciplines for the top universities. We investigated the top 300 universities from four international rankings, the Times Higher Education World University Ranking (THE), the QS World University Rankings (QS) the ShanghaiRanking-Academic Ranking of World Universities (ARWU) and the U.S.News Best Global Universities Ranking (USNews). The assessed parameters include ranking positions, size related and bibliometrics-related indicators of each selected ranking. The weight of scientometric parameters ranges between 20% (QS) and 75% (USNews). The most important parameters defining ranking positions include citations, international reputation, and the number of researchers, but the correlation strength varies among ranking systems. The absolute number of publications and citations are particularly important in ARWU and USNews rankings, and scientific category normalized (field weighted) citation impact is central in THE and USNews rankings. Our results confirm that universities having outstanding results in rankings using size-independent indicators (QS and THE) compared to others have significantly lower number of students. High impact research can improve position in ARWU and USNews ranking lists. Regarding to different disciplines, the main results show that outstanding universities in THE ranking have higher publication activity in social sciences and universities which perform better in USNews and QS ranking have more publications in science, technology, and medicine fields and lower score in social sciences. In brief, here we present a comprehensive analysis of the correlation between scientometric parameters and university ranking positions, as well as the performance of outstanding universities and their correlation with different disciplines, to help decision makers select parameters for strengthening and to attract the interest of prospective students and their parents via a better understanding of the functions of different ranks.
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http://dx.doi.org/10.1038/s41598-023-35306-1 | DOI Listing |
PLoS One
January 2025
Interactive Technologies Institute (ITI/LARSyS), Polo Científico e Tecnológico da Madeira, Funchal, Portugal.
This study explores adolescents' inherent curiosity about nature through the production of self-generated questions during a field visit to a nature-rich environment, followed by descriptive-interpretative analysis using focus groups. Utilizing cultural probes and content-free question tokens, we collected 164 valid questions produced by 36 adolescents during the field session. Biotic elements, like species, turned out to be more intriguing than abiotic elements, originating 89.
View Article and Find Full Text PDFBMC Plant Biol
January 2025
Vegetable Research Institute, Guangxi Academy of Agricultural Sciences, Nanning, Guangxi, 530007, China.
Colocasia esculenta ranks as the fifth most important tuber crop and is known for its high nutritional and medicinal value. However, there is no research on its mitochondrial genome, hindering in-depth exploration of its genomic resources and genetic relationships. Using second- and third-generation sequencing technologies, we assembled and annotated the mitogenome of C.
View Article and Find Full Text PDFSci Rep
January 2025
Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research (IGSNRR), Chinese Academy of Sciences (CAS), Beijing, 100101, China.
Flash flood susceptibility mapping is essential for identifying areas prone to flooding events and aiding decision-makers in formulating effective prevention measures. This study aims to evaluate the flash flood susceptibility in the Yarlung Tsangpo River Basin (YTRB) using multiple machine learning (ML) models facilitated by the H2O automated ML platform. The best-performing model was used to generate a flash flood susceptibility map, and its interpretability was analyzed using the Shapley Additive Explanations (SHAP) tree interpretation method.
View Article and Find Full Text PDFJ Shoulder Elbow Surg
January 2025
Department of Orthopedic Surgery, University of California Davis, Sacramento, CA, USA.
Introduction: Shoulder and elbow surgery fellowships in the United States are recognized for their academic emphasis, yet the correlation between an applicant's research productivity and fellowship match results remains unclear. This study (1) analyzed temporal trends in research productivity among matched fellowship applicants, (2) evaluated the influence of quantity of publications and first authorships on match positions, and (3) investigated program variations in research productivity.
Methods: This is a retrospective analysis of data from the San Francisco (SF) Match Database for shoulder and elbow surgery applicants matched between 2017 and 2024.
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