Purpose. As a scientific field, bioinformatics has drawn remarkable attention from various fields, such as information technology, mathematics, and modern biological sciences, in recent years. The topic models originating from the field of natural language processing have become the focus of attention with the rapid accumulation of biological datasets. Thus, this research is aimed at modeling the topic content of the bioinformatics literature presented by Iranian researchers in the Scopus Citation Database. Methodology. This research was a descriptive-exploratory study, and the studied population included 3899 papers indexed in the Scopus database, which had been indexed in this database until March 9, 2022. The topic modeling was then performed on the abstracts and titles of the papers. A combination of LDA and TF-IDF was utilized for topic modeling. Findings. The data analysis with topic modeling resulted in identifying seven main topics “Molecular Modeling,” “Gene Expression,” “Biomarker,” “Coronavirus,” “Immunoinformatics,” “Cancer Bioinformatics,” and “Systems Biology.” Moreover, “Systems Biology” and “Coronavirus” had the largest and smallest clusters, respectively. Conclusion. The present investigation demonstrated an acceptable performance for the LDA algorithm in classifying the topics included in this field. The extracted topic clusters indicated excellent consistency and topic connection with each other.
Background: In order to justify the investments made in research in the field of sports medicine, the outcomes and impacts of these investments should be assessed. Objectives: The purpose of this study was to investigate the status and impact of sports medicine studies on the production and development of knowledge Methods: In this descriptive study bibliometric and scientometric methods were used on 1145 scientific productions of sports medicine indexed in the Web of Science database. Data were analyzed through the Excel Software, and cooperation maps were drawn using VOSviewer Software. Results: According to the findings the ratio of citations to the articles on the scientific productions of sports medicine was 23.17, which is higher than the clinical medicine area (6.8). The ratio of citation to the authors was 5.46% and 52 articles (4.54%) of the articles appeared without citations. The average impact factor of journals publishing papers was 3.9. Most of the articles were published with the collaboration of five authors. Conclusions: The results of the present study, based on a selected model and a combination of indicators of the UK’s and Canadian Capital Return frameworks (from the production and development dimension), generally highlighted the validity and effectiveness of all indicators, including activity, quality, and development. The results revealed the most significant impact of the number and quality of each of the indicators in sports medicine in this area.
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