Human Capital and Productivity in Surgery Research Across the Globe: A Big Data Analysis Using Artificial Intelligence

IF 1.8 3区医学 Q2 SURGERY

Journal of Surgical Research Pub Date : 2024-10-25 DOI:10.1016/j.jss.2024.09.047

Georgios Karamitros MD, MS , Sofoklis Goulas PhD

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引用次数: 0

Abstract

Introduction

No investigation of each nation's contribution to knowledge production and human capital in surgery currently exists. Previous studies explored country-level research productivity only in few surgical subspecialties. To identify current and future leaders in surgery research, we conduct a retrospective observational study of each country's human capital and research productivity.

Methods

A web-scraping algorithm was deployed on PubMed to retrieve information on the first and senior author of every publication in all PubMed-indexed surgery outlets—a total of 388 journals—between 2010 and 2022, according to the SCImago classification. Each country's human capital is proxied by the number of first and senior authors.

Results

A total of 665,668 publications from 110 countries were reviewed. The number of publications rises over time. The United States represents 30.78% and 31.32% of global publications based on first and senior authors, respectively. Other leading contributors include the United Kingdom (5.57% and 5.69% of global first and senior author publications, respectively), China (8.84% and 8.74%), Japan (7.14% and 7.10%), and Italy (4.54% and 4.46%). The number of publications per 100K people ranges between 0.04 and 86.01, suggesting widely varying levels of research productivity relative to the population.

Conclusions

Our findings underscore the US dominance in surgery research. Countries with a higher share of first or senior authors may have greater capacity to expand their future research output. As big data research expands, we expect studies deploying artificial intelligence methodologies, such as web scraping, on data repositories to guide healthcare provision and health policy decisions to become mainstream.

查看原文本刊更多论文

全球外科研究中的人力资本和生产力：利用人工智能的大数据分析。

导言：目前还没有关于各国对外科知识生产和人力资本贡献的调查。以往的研究仅探讨了少数外科亚专科的国家级研究生产力。为了确定当前和未来外科研究领域的领军人物，我们对各国的人力资本和研究生产力进行了一项回顾性观察研究：方法：我们在 PubMed 上部署了一种网络抓取算法，根据 SCImago 分类检索 2010 年至 2022 年间所有 PubMed 收录的外科刊物（共 388 种期刊）中每篇论文的第一作者和资深作者的信息。每个国家的人力资本以第一作者和资深作者的数量来表示：结果：共审查了 110 个国家的 665 668 篇论文。出版物数量随着时间的推移而增加。按第一作者和资深作者计算，美国分别占全球出版物的 30.78% 和 31.32%。其他主要贡献者包括英国（分别占全球第一作者和资深作者出版物的 5.57% 和 5.69%）、中国（8.84% 和 8.74%）、日本（7.14% 和 7.10%）和意大利（4.54% 和 4.46%）。每 10 万人发表论文的数量介于 0.04 和 86.01 之间，这表明相对于人口而言，研究生产力水平差异很大：我们的研究结果凸显了美国在外科研究领域的主导地位。第一作者或资深作者比例较高的国家可能更有能力扩大其未来的研究成果。随着大数据研究的扩展，我们预计在数据存储库中部署人工智能方法（如网络搜索）以指导医疗服务和卫生政策决策的研究将成为主流。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Surgical Research 医学-外科

CiteScore

3.90

自引率

4.50%

发文量

627

审稿时长

138 days

期刊介绍： The Journal of Surgical Research: Clinical and Laboratory Investigation publishes original articles concerned with clinical and laboratory investigations relevant to surgical practice and teaching. The journal emphasizes reports of clinical investigations or fundamental research bearing directly on surgical management that will be of general interest to a broad range of surgeons and surgical researchers. The articles presented need not have been the products of surgeons or of surgical laboratories. The Journal of Surgical Research also features review articles and special articles relating to educational, research, or social issues of interest to the academic surgical community.