School of Systems Science, Beijing Normal University, Beijing 100875, China.
Blockchain and Distributed Ledger Technologies, Faculty of Business, Economics and Informatics, University of Zurich, Zurich 8050, Switzerland.
Proc Natl Acad Sci U S A. 2024 May 21;121(21):e2322462121. doi: 10.1073/pnas.2322462121. Epub 2024 May 17.
While scientific researchers often aim for high productivity, prioritizing the quantity of publications may come at the cost of time and effort dedicated to individual research. It is thus important to examine the relationship between productivity and disruption for individual researchers. Here, we show that with the increase in the number of published papers, the average citation per paper will be higher yet the mean disruption of papers will be lower. In addition, we find that the disruption of scientists' papers may decrease when they are highly productive in a given year. The disruption of papers in each year is not determined by the total number of papers published in the author's career, but rather by the productivity of that particular year. Besides, more productive authors also tend to give references to recent and high-impact research. Our findings highlight the potential risks of pursuing productivity and aim to encourage more thoughtful career planning among scientists.
虽然科研人员通常追求高生产力,但以牺牲个人研究的时间和精力为代价来追求出版物的数量可能得不偿失。因此,重要的是要研究生产力和个体研究人员的颠覆之间的关系。在这里,我们表明,随着发表论文数量的增加,每篇论文的平均引用量将会更高,但论文的平均颠覆程度将会更低。此外,我们发现,当科学家在某一年的生产力很高时,他们的论文颠覆可能会减少。当年论文的颠覆程度不是由作者职业生涯中发表的论文总数决定的,而是由当年的生产力决定的。此外,更有生产力的作者也倾向于引用最近的高影响力的研究。我们的研究结果强调了追求生产力的潜在风险,并旨在鼓励科学家更有思考地规划职业生涯。