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Characterizing references from different disciplines: A perspective of citation content analysis

机译:特征来自不同学科的参考:引用内容分析的视角

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Multidisciplinary cooperation is now common in research since social issues inevitably involve multiple disciplines. In research articles, reference information, especially citation content, is an important representation of communication among different disciplines. Analyzing the distribution characteristics of references from different disciplines in research articles is basic to detecting the sources of referred information and identifying contributions of different disciplines. This work takes articles in PLoS as the data and characterizes the references from different disciplines based on Citation Content Analysis (CCA). First, we download 210,334 full-text articles from PLoS and collect the information of the in-text citations. Then, we identify the discipline of each reference in these academic articles. To characterize the distribution of these references, we analyze three characteristics, namely, the number of citations, the average cited intensity and the average citation length. Finally, we conclude that the distributions of references from different disciplines are significantly different. Although most references come from Natural Science, Humanities and Social Sciences play important roles in the Introduction and Background sections of the articles. Basic disciplines, such as Mathematics, mainly provide research methods in the articles in PLoS. Citations mentioned in the Results and Discussion sections of articles are mainly in-discipline citations, such as citations from Nursing and Medicine in PLoS.(c) 2021 Elsevier Ltd. All rights reserved.The promotion of extensive multidisciplinary cooperation is the key to coping with the future public information crisis (Xie et al., 2020). Academic paper, especially the reference information in citation contents, is a major media that reflects the communication among scientists and research fields (Zhuge, 2006). References from other disciplines can show the information flow into the research field and conducive to the proposing of new methods to solve complex practical problems (Bammer, 2012; Gates, Ke, Varol, & Barabasi, 2019; Hassan, Safder, Akram, & Kamiran, 2018). According to citation information, researchers can detect the sources of information and academic importance of different
机译:多学科合作现在在研究中常见,因为社会问题不可避免地涉及多个学科。在研究文章中,参考信息,尤其引用内容,是不同学科之间的沟通的重要代表性。分析研究文​​章中不同学科的参考的分布特征是探测引用信息的来源和识别不同学科的贡献。这项工作以PLOS中的文章作为数据,并根据引文内容分析(CCA)来表征来自不同学科的引用。首先,我们从PLO下载210,334个全文文本并收集文本文本的信息。然后,我们确定这些学术文章中每种参考的学科。为了表征这些参考文献的分布,我们分析了三个特征,即引文的数量,平均引用强度和平均引用长度。最后,我们得出结论,不同学科的参考分布显着不同。虽然大多数参考文献来自自然科学,但是人文社会科学在文章的引入和背景部分中发挥着重要作用。基本学科,如数学,主要提供PLO中的文章中的研究方法。结果和讨论部分提到的文章中提到的引文主要是纪律的引用,例如PLOS中护理和医学的引用。(c)2021 Elsevier Ltd.保留所有权利。促进广泛的多学科合作是应对的关键未来的公共信息危机(谢等,2020)。学术论文,特别是引文内容中的参考信息,是一种主要媒体,反映了科学家和研究领域的沟通(Zhuge,2006)。其他学科的参考可以将信息流入研究领域,并有利于提出解决复杂实际问题的新方法(Bammer,2012; Gates,Ke,Varol,&Barabasi,2019; Hassan,Safder,Akram,&Kamiran ,2018)。根据引文信息,研究人员可以检测不同的信息来源和不同的重要性

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