Scientometrics Analysis of Global Researches on Anemia
Scientometrics Analysis of Global Researches on Anemia
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Abstract
Background: Anemia is a condition in which the number of red blood cells or the hemoglobin concentration within them is lower than normal. This study aims to show the intellectual structure of knowledge regarding anemia and gives a comprehensive and up-to-date image of research in this area.
Materials and Methods: This is a descriptive-analytical study with a scientometric approach. The PubMed database was searched for research publications indexed under "anemia" including 8484 records between 2011 and 2020. Data were analyzed using Co-word analysis, clustering methods, and strategic diagrams with the help of SPSS and Ucinet 6 software.
Results: The keyword “Anemia Sickle Cell” and two pairs of frequently used keywords, namely “Anemia, Iron *Iron” were the most frequent in the research area. The results shaped the concepts of anemia in 9 clusters. The clusters "Hydroxyurea and sickle cell anemia", "Fetus transfusion", "Management of Thalassemia Major", "Hemolytic Uremic Syndrome", "Management and Control of Anemia", "Chronic Kidney Failure and Anemia", "Hematopoietic Stem Cell Transplantation" are topics that may be emerging or disappearing. The “Thalassemia and blood transfusion" are immature clusters.
Conclusion: This study uses co-word networks that indicate important links between keywords of the research areas. Most research approaches are in the therapeutic aspects. Despite the importance of the effect of anemia on all levels of society, including economics, education, and other types of anemia, as well as its impact on learning and mental disorders, these subjects have not been given sufficient consideration.
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| Issue | Vol 18 No 4 (2024) | |
| Section | Original Article(s) | |
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| Keywords: Anemia PubMed Bibliometrics Co-Word Analysis | ||
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