Evaluation of the productivity of hospital-based researchers: comparative study between the h-index and the h(fa)-index

Global research status and trends in orthopaedic surgical robotics: a bibliometric and visualisation analysis study

This study aimed to investigate and summarise the current state of research and trends in orthopaedic surgical robots. Data on publicly available publications related to orthopaedic surgical robots were extracted by abstract searches of the Web of Science Core Collection database. A bibliometric analysis and detailed reading of the publications were then carried out and the information was visualised using co-authorship analysis, coupling analysis, co-citation analysis and co-occurrence analysis in VOSviewer. With 436 publications included in the study from 1993 to 2022, the overall contribution of publications to the world showed an increasing trend year by year, with a particularly pronounced after 2017, and a geographical trend of predominantly East Asia, North America, and Western Europe. Of these, China was the largest contributor (n = 128). Overall, the UK affiliates and their scholars were leaders in the field, with a high number of publications, total citations, average citations per article and H-index. The most published institutions and authors were Imperial College London (n = 21) and Professor Fares Sahi Haddad of University College London (n = 12), respectively. Journals with a high overall impact on robotic orthopaedic surgery were the Journal of Arthroplasty, Bone Joint Journal, International Journal of Medical Robotics and Computer Assisted Surgery. Keyword co-occurrence network analysis revealed four main clusters: robot-assisted knee, hip arthroplasty, spine surgery, and robotic technology research and development. The top three most common sites for robot-assisted surgery use were the knee, hip and spine. The most used robot types were the knee and spine, with Mako and Arobot being the most used robots for the knee and TiRobot for the spine. This study comprehensively reveals the current status and trends of global research on orthopaedic surgical robots, covering countries, institutions, authors, journals, research hotspots, robot types and surgical sites, providing directional guidance and research ideas for further research on the technological development and clinical evaluation of orthopaedic surgical robots.

Gender Inequalities in Citations of Articles Published in High-Impact General Medical Journals: a Cross-Sectional Study

BACKGROUND

Besides the number of publications, the number of citations is another key metric often used to compare researchers with each other. While women researchers tend to have fewer publications than their men colleagues, the data is scarce for the number of citations. We aimed to determine whether there is a gender gap in citations.

METHODS

We used Web of Science to retrieve the number of citations per year for all research articles and reviews published between January 2015 and December 2019 in fourteen high-impact general medical journals (impact factor > 5). We used Gender API to identify the gender of the first/last authors. We compared the results by gender using multivariable negative binomial regressions (adjusting for intra-cluster correlations within journals).

RESULTS

The gender of the first/last author was determined for 13,218/13,350 (99%) and 11,894/12,026 (99%) articles, respectively. The proportion of women among first/last authors was 40% and 29%, respectively. The median number of citations per year was 5 (IQR = 11.3) for women and 6.8 (IQR = 17.8) for men for first authors (IRR = 1.5 [95% CI = 1.3-1.8], p value < 0.001), and 6 (IQR = 12.4) and 7.5 (IQR = 17.4) for last authors (IRR = 1.3 [95% CI = 1.2-1.5], p value < 0.001). Articles whose first and last authors were women were the least cited and those whose first and last authors were men were the most cited.

CONCLUSION

In this cross-sectional study, we found that articles authored by women were cited less often than those authored by men. Further studies are needed to explore the reasons for these gender differences in article citations.