Abstract：Objective To analyze worldwide status of scientific research on automated breast volume scanning (ABVS) based on bibliometric analysis. Methods All scientific papers on ABVS were retrieved from the Web of Science database. Bibliometric
analysis was conducted to display the number of papers published globally each year, the number and impact of papers published by
leading countries and organizations, the international cooperation status and the distribution of high-impact papers. Results A total
of 219 papers on ABVS were retrieved, with an average citation of 11.9. In the past few years, the number of papers increased with
fluctuation. The top five countries with the most of papers were China (66), the US (57), South Korea (32), the Netherlands (31), and
Germany (26), among whom the US received the highest amount of total citations (942) and average citations (16.5). The top five
organizations with the most of papers were Radboud University Nijmegen (26), National Taiwan University (18), Seoul National
University (13), University of Michigan (11) and Fudan University (11). General Electric and Siemens ranked among the top ten with
9 and 7 articles, respectively. The University of California received the highest amount of total citations (374) and average citations
(46.8). As to the top ten highly-cited papers, there were five from the US, two from China, two from Germany, and one from Japan.
Conclusion There are not many scientific papers on ABVS worldwide, the amount of which increased with fluctuation. China has
published the most amounts of papers, while the US has the strongest impact power among all countries. Most of the papers were
published by universities or hospitals, while two companies, General Electric and Siemens, have also become global leaders in ABVS
scientific research. As for China, although with relatively large amounts of papers, the impact power needs to be further enhanced.
陈娟，张婷，卢岩，欧阳昭连. 基于文献计量学的乳腺三维超声容积成像科学研究竞争态势分析[J]. 中国医疗设备, 2020, 35(4): 1-5.
CHEN Juan, ZHANG Ting, LU Yan, OUYANG Zhaolian. Worldwide Status of Scientific Research on Automated Breast Volume
Scanning Based on Bibliometric Analysis. China Medical Devices, 2020, 35(4): 1-5.
