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. 2018 Jun 13;17(5):349-360.
doi: 10.18502/ijrm.v17i5.4602. eCollection 2019 May.

Fatemeh Makkizadeh Ph.D., Esmaeil Bigdeloo M.A

Fatemeh Makkizadeh  1 , Esmaeil Bigdeloo  1
Affiliations

Fatemeh Makkizadeh Ph.D., Esmaeil Bigdeloo M.A

Fatemeh Makkizadeh et al. Int J Reprod Biomed. .

Abstract

Background: The Co-word analysis has the ability to identify the intellectual structure of knowledge in a research domain and reveal its subsurface research aspects.

Objective: This study examines the intellectual structure of knowledge in the field of Andrology during the period 2008-2017 using Co-word analysis.

Materials and methods: In this descriptive-analytical study with a scientometric approach, the WoS database was searched for papers indexed under "Andrology" over the period 2008-2017. The data were analyzed using Co-word, clustering methods, and strategic diagram with the help of SPSS, UcInet, RavarPreMap and VOSviewer software.

Results: The highest publication rate in the area of Andrology was seen in countries like the USA, China, Italy, and Iran. The top three journals that published papers on the field were Fertility and Sterility, Andrologia, Human reproduction. The results showed that the keyword "Spermatozoa" and two pairs of frequently used keywords, namely "Azoospermia * Oligospermia" were the most frequent in the field of Andrology. The results of hierarchical clustering led to 13 clusters. The clusters "Reproductive Techniques" and "Spermatogenesis" are the core clusters and play an effective role. The "Post-Testicular causes" and "Neoplasm" clusters are in marginal.

Conclusion: This study represented that Co-word analysis can well illustrate the intellectual structure of an area. Considering the frequency of keywords along with the clusters obtained, it seems that the majority of research approach was seen on infertility treatments, especially through assisted reproductive technology. Despite the importance of psychological aspects as well as education of reproductive health, these subjects have not been sufficiently considered.

Keywords: Andrology; Co-word analysis; Intellectual structure..

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Conflict of interest statement

There is no conflict of interest about this paper.

Figures

Figure 1
Figure 1
Strategic diagram characterizations based on density and centrality (20).
Figure 2
Figure 2
A general overview of co-occurrence Andrology words network over the period 2008-2017.
Figure 3
Figure 3
Dendrograms derived from hierarchical clustering by Co-word.
Figure 4
Figure 4
The strategic diagram of 13 clusters.
See this image and copyright information in PMC

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