大数据环境下科技期刊同被引文献数的学术评价功能: 基于与引证文献数的对比研究

The Academic Evaluation Function of Co-cited References Number of Scientific Journals under the Big Data Environment: A Comparative Study of Citation Frequency and Co-cited References Number

摘要:

基于大数据环境下科技创新成果评价与管理的视角，研究科技期刊论文同被引文献数的科学内涵和学术价值。通过频数分析、回归分析与变异系数的差异性分析，对比研究引证文献数和同被引文献数，探讨科技期刊论文同被引文献数的特征及评价功能。研究发现，引证文献数与同被引文献数既有正相关性，又有显著差异性，同被引的内涵更为丰富。从科学传播和评价角度而言，同被引文献数在时间上的反应速度比引证文献数快，数据具有客观性、科学性和有效性等优势；同被引文献数蕴含了很强的学术评价功能，涉及到期刊、论文、作者的学术影响力以及学科或选题的热度，可以作为学术评价手段的重要补充以及科技管理和学科发展的相关评估工具

Abstract:

Based on the perspective of evaluation and management of scientific and technological innovation achievements under the big data environment, this paper studies the scientific connotation and academic value of co-cited references number of articles in scientific and technological journals. By frequency analysis, regression analysis and variance coefficient analysis to compare and analyze co-cited references number and citation frequency of papers in scientific journals. The features and evaluation functions of co-cited references number were discussed. The citation frequency and co-cited references number have both positive correlation property and significant differences. Selecting representative examples to further study, it illustrates that the connotation of co-cited references number is more abundant. From the perspective of scientific communication and evaluation, the time response rate of co-cited references number is faster than that of citation frequency, and the data has the advantages of objectivity, scientificity and validity under the big data environment. Co-cited references number contains a strong evaluation function, involving the academic influence of journals, papers, authors, as well as subject or topic heat. It can be an important supplement to academic evaluation. It can be used as an important supplement to academic evaluation as well as an evaluation tool for scientific and technological management and discipline development.