A Bibliometric Analysis of Research Articles on Midwifery Based on the Web of Science

Abstract

Objective

This study aimed to bibliometrically analyse the main features of the 100 top-cited articles on the midwifery index on the Web of Science.

Methods

Academic articles on midwifery’ research published from 1985 to 2020 were included. VOSviewer 1.6.15, SPSS 22.0 software and a homemade applet were used to identify, analyse and visualise the citation ranking, publication year, journal, country and organisation of origin, authorship, journal impact factor and keywords along with the total link strength of countries, organisations and keywords.

Results

Among the 100 top-cited articles, the highest number of citations of the retrieved articles was 484. The median number of citations per year was 5.16 (interquartile range: 3.74–8.38). Almost two-thirds of the included articles (n = 61) centred on nursing and obstetrics/gynaecology. The top-cited articles were published in 38 different journals, the highest number of which was published by Midwifery (15%). Australia was the most productive country (24%). According to the total link strength, the sequence ran from the United States (28) to England (28) to Australia (19). The University of Technology Sydney and La Trobe University in Australia topped the list with four papers each. Hunter B was the most productive author (n = 4), and the average citations were positively related to the number of authors (r = 0.336, p < 0.05).

Conclusion

This study identified the most influential articles on midwifery and documented the core journals and the most productive countries, organisations and authors along with future research hotspots for this field; the findings may be beneficial to researchers in their publication and scientific cooperation endeavours.

Keywords:

• bibliometric analysis
• citation
• midwifery
• total link strength

Data Sharing Statement

The data used to support the findings of this study are available from the corresponding author upon request.

Disclosure

The authors declare that they have no conflicts of interest.

Additional information

Funding

This work was supported by the Natural Science Foundation of Hunan Province under Grant (number 2022JJ80102), the Hunan Health Commission under Grant (number 202212073729) and the Changsha Science and Technology Bureau under Grant (number kzd2001092).