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International Journal of Reproductive BioMedicine
Research and Clinical Center for Infertility, Shahid Sadoughi University of Medical Sciences of Yazd
ISSN: 1680-6433
EISSN: 2008-2177
Vol. 15, No. 11, 2017, pp. 719-728
Bioline Code: rm17084
Full paper language: English
Document type: Research Article
Document available free of charge

International Journal of Reproductive BioMedicine, Vol. 15, No. 11, 2017, pp. 719-728

 en Bibliometric and thematic analysis of articles in the field of infertility (2011-2015)
Makkizadeh, Fatemeh & Sa'adat, Farzaneh


Background: Infertility is a disease that results in the abnormal functioning of the male or female reproductive system. Systematic research planning on any subject, including infertility is in need of solid data regarding previous efforts in this field and to identify the gaps in the research.
Objective: The aim of this research is to study the thematic structure of articles related to infertility.
Materials and Methods: In this descriptive-analytical study with a scientometric approach, the PubMed database was searched for research publications indexed under "Infertility" over the period 2011-2015. Specific parameters were retrieved from the PubMed. Articles about infertility were analyzed regarding the journal of publication, topics, and countries using Net draw, Ucinet and RavarPreMap software. Also, the most influential topics were analyzed by indicators in the analysis of the network: closeness centrality, and between centrality
Results: The growth in scientific productions the area of infertility over the mentioned period shows an upward trend with the highest growths seen in countries like the United States, the UK, Netherlands, China, and Germany. Moreover, the contents such as fertilization in vitro, adverse effects, spermatozoa, pregnancy rate, and treatment outcome were among the most frequently-used topics in the sphere.
Conclusion: Thematic analysis can provide us the research topics, important expressions, and the relationships between them. Users and policymakers can also have a better understanding of the research status in the sphere and consequently, they can plan to increase the quantity and quality of scientific productions in a more efficient way.

Bibliometric; Thematic structure; Infertility; PubMed database.

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