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A Macro Analysis of Productivity Differences Across Fields: Challenges in the Measurement of Scientific Publishing

机译:跨领域生产力差异的宏观分析:科学出版计量中的挑战

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摘要

While many studies have compared research productivity across scientific fields, they have mostly focused on the "hard sciences," in many cases due to limited publication data for the "softer" disciplines; these studies have also typically been based on a small sample of researchers. In this study we use complete publication data for all researchers employed at Norwegian universities over a 4-year period, linked to biographic data for each researcher. Using this detailed and complete data set, we compare research productivity between five main scientific domains (and subfields within them), across academic positions, and in terms of age and gender. The study's key finding is that researchers from medicine, natural sciences, and technology are most productive when whole counts of publications are used, while researchers from the humanities and social sciences are most productive when article counts are frac-tionalized according to the total number of authors. The strong differences between these fields in publishing forms and patterns of coauthorship raise questions as to whether publication indicators can justifiably be used for comparison of productivity across scientific disciplines.
机译:尽管许多研究已经比较了各个科学领域的研究效率,但由于“软”学科的出版数据有限,因此它们大多集中在“硬科学”上。这些研究通常还基于少量研究人员。在这项研究中,我们使用完整的出版数据,列出了四年中在挪威大学工作的所有研究人员的数据,并将其与每位研究人员的传记数据相关联。使用这个详尽而完整的数据集,我们比较了五个主要科学领域(及其子领域)之间,研究领域,年龄和性别方面的研究生产力。该研究的主要发现是,当使用全部出版物时,医学,自然科学和技术领域的研究人员的生产力最高;而根据文章总数对篇幅进行分类时,来自人文社会科学的研究人员的生产力最高。作者。这些领域在出版形式和共同作者模式之间的巨大差异引发了一个疑问,即出版指标是否可以合理地用于跨科学学科的生产率比较。

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