摘要
为了从内容特征角度分析对科研论文零被引的影响,本研究以1998-2015年收录于中国社会科学引文索引(CSSCI)数据库中的图书情报领域学者论文数据为研究对象,以论文关键词为内容标识物,以3年作为划分被引论文和未被引论文的分界窗口,基于文档向量空间模型计算被引论文、未被引论文和学科整体的关键词向量内积、欧氏距离和向量余弦相似度,探究三者内容上的相关性。研究发现:在学科整体上,研究内容在2002年凝聚度较高,2001年可能出现转折;在被引论文与未被引论文方面,二者的研究相似度逐渐下降,且研究内容与学科热点的相关程度很大程度上影响零被引的出现几率。
In order to explore influence factors to none-cited papers from the perspective of content characteristics, this study takes the papers, written by scholars in discipline of Library and Information Science in China and recor- ded in Chinese Social Science Citation Index (CSSCI) database during 1998 to 2015, as study objects. Taking the keywords as content identifier and 3 years as the demarcation window between the cited and the none-cited papers, based on vector space model, the vector inner product, Euclidean distance and vector cosine similarity among cited papers, none-cited paper and the whole subject were calculated to explore the content relevance among them. The re- sults show that the research content shows a high degree of cohesion in 2002 and a possible turning point in 2001; comparisons between cited papers and none-cited papers demonstrate that the research similarity decreases gradually, and the emergence of none citation is greatly affected by the degree of correlation between the research content and the subject hotspot.
作者
况书梅
伍玉
韩毅
KUANG Shumei,WU Yu, HAN Yi(College of Computer and Information Science, Southwest University, Chongqing 400715, Chin)
出处
《评价与管理》
2017年第3期36-39,共4页
Evaluation & Management
关键词
科研论文
零被引
向量空间模型
论文内容特征
图书情报与文献学
research papers
none citation
vector space model
content identifier of papers
library andinformation science