卢超,男,1991年5月生,现为河海大学商学院市场营销系讲师,博士毕业于南京理工大学经济管理学院管理科学与工程专业。博士期间,主持南京理工大学研究生科研计划项目一项,参与国家级项目3项;前往印第安那大学联合培养2年;在IPM,JASIST,中国图书馆学报,情报学报,JOI,Scientometrics等刊物上发表论文20余篇,其中第一作者SSCI/SCI 论文6篇,第一作者CSSCI论文5篇,第一作者顶级国际会议论文(poster)若干篇。 更多研究内容 .
管理科学与工程专业博士学位, 2020
南京理工大学
情报学硕士研究生(转段), 2014
南京理工大学
图书馆学学士学位, 2013
安徽大学
Scientific collaboration empowers scholars to build larger teams and produce more high-quality knowledge. However, with insufficient microscopic examination of scientific collaboration, i.e., the interactions between collaborators, little is currently known about whether the contributing roles of collaborators are fairly and accurately represented on the bylines of scientific papers. To fill this gap, the current study examines how the different roles of collaborators are connected to the order of their names in article bylines across disciplines and team sizes. A dataset of 105,192 articles containing author contribution statements was compiled and analyzed to investigate the byline order distributions of three different contributing roles: versatiles, specialists, and teamplayers. We discovered that, across all disciplines, the order of names in article bylines usually represented authors’ contributions. Versatiles were more likely to be first authors in the byline, followed by teamplayers and specialists. We also found that the division of labor in larger teams varied between disciplines. In some subjects, the three contributing roles disappeared as the size of teams increased, while in others, they remained distinct. Finally, larger team sizes were associated with a weaker relationship between byline ordering and contributing roles. These findings advance studies of scientific collaboration and enrich the literature on the evaluation of scientific performance.
基于文献题录数据和引文数据的传统文献计量研究存在着诸多的障碍和壁垒。随着自然语言处理技术的发展和学术文献全文数据特别是结构化全文数据的丰富,这些障碍和壁垒在不断被攻克。通过综述学术文献全文的计量分析的相关研究,本文发现:学术文献的计量研究正在经历巨大转变——从学术文献的外部特征到开始关注内容特征、从关注学术文献的句法特征到语义特征乃至语用特征。以引文内容分析为代表的学术文献全文计量分析研究发展突出,其他全文信息的计量分析工作也崭露头角。目前,全文计量分析研究各个研究方向的发展参差不齐,部分研究方向尚处于萌芽阶段,相关研究的研究方法和数据仍待继续丰富。在未来,全文计量分析研究需要多个学科的广泛参与和相互合作,出版商与学者也需积极参与到全文研究中来。我们应当对学术文献进行更加全面的认识,从而推动全文计量分析向客体细粒度化、视角多样化、指标语义化和评价结果全面化等方向不断迈进,并促进全文计量分析与学术服务和学术评价工作的有机结合,使得文献计量学能够更好地为学术活动而服务。图:4,表:1,参考文献:167。