Dataset of hotspots and trends in recurrent pregnancy loss from 2014 to 2024: a bibliometric analysis

DOI:10.4121/95219024-2991-4147-beb7-69d28f61c5fd.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/95219024-2991-4147-beb7-69d28f61c5fd

Datacite citation style

Yang, Yi (2025): Dataset of hotspots and trends in recurrent pregnancy loss from 2014 to 2024: a bibliometric analysis. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/95219024-2991-4147-beb7-69d28f61c5fd.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Background: Recurrent pregnancy loss (RPL) is a suffering pregnancy disease defined by the spontaneous loss of two or more pregnancies. The etiology of RPL is complex, and its pathogenesis has not been elucidated. Therefore, it’s necessary to combine relevant articles to find and analyze the contacts between the research hotspots, and then predict the development trend in RPL.

Methods: RPL related literature was obtained from the Web of Science (WoS) database from 2014 to 2024. We analyzed the data by VOSViewer for the number of publications, citations, countries, journals, institutions, authors and documents, and for data sorting and visualization and Citespace 6.2 R6 software was used for clustering and emergent analysis of keywords.



History

  • 2025-04-25 first online, published, posted

Publisher

4TU.ResearchData

Organizations

Department of Endocrinology Guang’anmen Hospital, China Academy of Chinese Medical Sciences

DATA

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