Liu Meijun, Shi Dongbo, Li Jiang
Division of Information and Technology Studies, the University of Hong Kong, Hong Hong, China.
School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
PLoS One. 2017 Sep 21;12(9):e0184977. doi: 10.1371/journal.pone.0184977. eCollection 2017.
Humanities and Social Sciences (HSS) increasingly absorb knowledge from Hard Sciences, i.e., Science, Technology, Agriculture and Medicine (STAM), as testified by a growing number of citations. However, whether citing more Hard Sciences brings more citations to HSS remains to be investigated. Based on China's HSS articles indexed by the Web of Science during 1998-2014, this paper estimated two-way fixed effects negative binomial models, with journal effects and year effects. Findings include: (1) An inverse U-shaped curve was observed between the percentage of STAM references to the HSS articles and the number of citations they received; (2) STAM contributed increasing knowledge to China's HSS, while Science and Technology knowledge contributed more citations to HSS articles. It is recommended that research policy should be adjusted to encourage HSS researchers to adequately integrate STAM knowledge when conducting interdisciplinary research, as over-cited STAM knowledge may jeopardize the readability of HSS articles.
人文社会科学(HSS)越来越多地吸收硬科学领域的知识,即科学、技术、农业和医学(STAM),越来越多的引用证明了这一点。然而,引用更多的硬科学知识是否会给人文社会科学带来更多引用仍有待研究。基于1998 - 2014年被科学引文索引收录的中国人文社会科学文章,本文估计了具有期刊效应和年份效应的双向固定效应负二项式模型。研究结果包括:(1)在STAM参考文献占人文社会科学文章的百分比与其获得的引用次数之间观察到一条倒U形曲线;(2)STAM为中国的人文社会科学贡献了越来越多的知识,而科学和技术知识为人文社会科学文章贡献了更多的引用。建议调整研究政策,鼓励人文社会科学研究人员在进行跨学科研究时充分整合STAM知识,因为被过度引用的STAM知识可能会损害人文社会科学文章的可读性。