Analyzing the Status of Endocrinology and Metabolic Research in Iran Using Text Mining Methods

Due to the importance and status of the endocrine field in the health sector, facilitating information retrieval in this field seems to be important. This study endeavored to run topic modeling of articles published by Iranian researchers in the field of endocrinology and metabolism in the science citation database.

This applied study was done by text mining method. In this study, abstracts of articles were extracted from the science citation database using selected keywords as a medical subject. 5552 articles were retrieved from 1977 to 2019, then the text of abstracts was analyzed and categorized.

Subject categories with 20 items were extracted in 48 categories. Diabetes with 7145 recurrences has been considered by Iranian researchers more than other topics. Subject category related to metabolic syndrome diseases with the highest number of articles (304 articles) and subject category No. 47 which is the subject category related to osteoporosis with the lowest number of articles (51 articles) were reported.

The results revealed that Iranian researchers have done more research on metabolic syndrome and less research on osteoporosis. Topic categories including Dwarfism, Parathyroid Diseases, Pituitary Diseases, Gonadal Disorders, Polyendocrinopathies, and Autoimmune that do not exist in the topics resulting from modeling indicate a gap in the research of Iranian researchers that emphasizes the need for more attention to these areas.