Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Scientometric Study of Research in Information Retrieval in Medical Sciences Publisher



Mohammadi M1, 2 ; Roshandel G2 ; Ghazimirsaeid SJ1 ; Zarinbal M3 ; Beheshti MH3 ; Sheikhshoaei F1
Authors
Show Affiliations
Authors Affiliations
  1. 1. Department of Medical Library and Information Sciences, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan, Iran
  3. 3. Iranian Research Institute for Information Science and Technology (IranDoc), Tehran, Iran

Source: Medical Journal of the Islamic Republic of Iran Published:2022


Abstract

Background: Mapping scientific trends is one of the most important missions of scientometric research for effective research. The main goal of this paper was to visualize and draw the intellectual and cognitive structures of information retrieval (IR) in the medical sciences using science mapping. Methods: In this cross-sectional scientometric study, we recruited all documents indexed in the Web of Science database with the topic of storing and retrieval of information in medical sciences. To analyze the results, 3 software, SciMAT-v1.1.04, VOSviewerv1.6.14, CitNetExplorer_v1.0.0, were used. Results: Our results showed that most scientific productions in this field fall into 2 categories: (1) effective methods of organizing information and (2) application and operation of the IR system in the process of intelligent questioning and answering, and analyzing information behaviors of physicians and health professionals. The results showed that the similarity index increased over time from 0.43 to 0.71. Analysis of the findings showed that similarity measures, expert systems, concepts, experience, answers, and multimodel IR clusters were considered as mature and completely centralized clusters in the first quarter of the strategic chart. Conclusion: Because of the dramatic approximation of the vocabulary used by researchers and a relative slowdown in the growth rate of the subject's domain in the last decade, it seems necessary to pay attention to the expansion of the fields of IR and the application of its concepts in medical information sciences. Also, it can be recommended that designers of IR systems and techniques in medical information sciences pay more attention to human factors attentively to develop new technologies and tools. © Iran University of Medical Sciences
Related Docs
1. A Bibliometric Analysis of Intrauterine Growth Restriction Research, Placenta (2020)
2. Mapping Global Research in Emergency Medicine; a Bibliometric Analysis of Documents Indexed in Theweb of Science Database, Archives of Academic Emergency Medicine (2023)
3. Bibliometric Analysis of Artificial Intelligence Revolutions in Health-Related Sustainable Development Goals, Health Technology Assessment in Action (2023)
Experts (# of related papers)
View all Related Experts
Razieh Akbari (1)
Fatemeh Sheikhshoaei (1)