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. 2022 Mar;10(6):318.
doi: 10.21037/atm-22-714.

The relationship between polycystic ovary syndrome and infertility: a bibliometric analysis

Affiliations

The relationship between polycystic ovary syndrome and infertility: a bibliometric analysis

Sulian Zhuang et al. Ann Transl Med. 2022 Mar.

Abstract

Background: Polycystic ovary syndrome (PCOS) is common and often causes infertility in women of childbearing age. This study adopted the method of bibliometrics to analyze the current research status of research on PCOS and infertility.

Method: We conducted a literature search based on the Science Citation Index Expanded (SCI-E) database. All records of search results were exported and the records were cited r in plain text format to generate source files for analysis. CiteSpace software was then used to analyze the source files. The content of the analysis included: annual changes in the number of publications, the distribution of the countries and institutions of the authors of the literature, the distribution of the journals from which the literature was sourced, the distribution of authors, and the use of keywords.

Results: There were a total of 2,716 documents retrieved, and the frequency of citations was 86,817. Both the number of documents and the number of citations showed an annually increasing trend. In this field of research, the United States was in a leading position, with many important research institutions and researchers. Emphasis was placed on top-level journals in the field of reproduction and top-level comprehensive journals. The use of keywords changed over time: in recent years, popular keywords included meta-analysis, follicular fluid, oxidative stress, and diagnostic criteria.

Conclusions: There are obvious regional differences in PCOS and infertility research. International cooperation, especially cooperation with developing countries, should be strengthened.

Keywords: Polycystic ovary; bibliometric analysis; infertility.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://atm.amegroups.com/article/view/10.21037/atm-22-714/coif). The authors have no conflicts of interest to declare.

Figures

Figure 1
Figure 1
Types of documents. The literature related to this research topic was mainly articles and reviews, which together accounted for more than 90% of the total. Percentage of 2,716.
Figure 2
Figure 2
Annual publications.
Figure 3
Figure 3
Annual citations.
Figure 4
Figure 4
Top 10 countries in the number of publications.
Figure 5
Figure 5
A visualization map of countries. There are 105 nodes (circles) in the figure, representing 105 countries. The larger the circle, the more documents produced by that country. A connection between 2 nodes means that 2 countries appear in a document at the same time, that is, 2 countries have a cooperative relationship in this document.
Figure 6
Figure 6
Visualization map of the institution. There are 502 nodes (circles) in the figure, representing 502 institutions. The larger the circle, the more documents produced by that institution. A connection between 2 nodes means that 2 institutions appear in a document at the same time, that is, 2 institutions have a cooperative relationship in this document. There were 1,068 collaboration between these institutions.
Figure 7
Figure 7
Visualization map of the authors. It can be seen that the collaboration between the authors was distributed in clusters, suggesting that these authors were mainly from the same research institution.
Figure 8
Figure 8
Keyword co-occurrence visualization map.
Figure 9
Figure 9
Top 25 keywords with the strongest citation bursts.

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