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Theme trends and knowledge structure of assisted reproductive technology and birth defects: A quantitative and
Na Yang1,2, Li Sun3, Jichun Tan1,4
1Department of Obstetrics and Gynaecology, Assisted Reproduction Centre, Shengjing Hospital Affiliated to China Medical University, Shenyang, China.
Aim:
The main purpose of our study is to determine the current research status of assisted reproductive technology (ART) and birth defects by means of co-word analysis, to explore the hot spots and weak points of current research, and to provide ideas and opinions for follow-up researchers.
Methods:
The PubMed database was used to investigate the knowledge structures of the applied words ART and birth defects. The published literature was searched until December 31, 2018. The extracted MeSH terms were quantified using the Bibliographic Item Co-Occurrence Matrix Builder and the high-frequency MeSH terms were determined. According to the MeSH term-source article matrix, hierarchical cluster analysis was performed using SPSS 19.0. The high frequency MeSH term co-occurrence matrix was constructed to support strategic diagram and social network analysis (SNA).
Results:
According to the search strategy, 1635 papers were included. Of all the extracted MeSH terms, 105 high frequency MeSH terms were identified and the hotspots were classified into nine categories. In the strategic diagram, research on the effects of prenatal diagnosis methods and ART on the development of offspring has been well developed. In contrast, research on reproductive ethics, epigenetics, and epidemiology is relatively immature, indicating the need for future research. For SNA results, the position status of each component is described by the center value.
Conclusions:
By providing a quantitative bibliometric study, it can help with the overall command of the latest topic and guide researchers in their new projects.
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