随着开放获取和文本挖掘技术的发展,引用内容分析成为近年来新兴的一种基于内容的分析方法,引用内容富含同行对论文的认可、比较、使用和质疑等信息,比引用次数更优于分析判断论文的科学贡献和实际影响。该文利用CiteOpinion引用内容循证分析工具,结合人工判读,基于引用内容对童铁军团队2018年发表的关于“样本均值优化算法”一文开展创新性和学术影响分析。结果显示,“样本均值优化算法”一文得到同领域学者认可并在医学荟萃分析中产生了重要影响。

With the development of open access and text mining techniques, citation content analysis has become an emerging content-based analysis method in recent years. Citation content is rich in information about peer recognition, comparison, use and questioning of papers, and it is better than citation counts for analysing and judging the scientific contribution and actual impact of papers. This paper uses the CiteOpinion citation content evidence-based analysis tool, combined with manual interpretation, to analyze the innovation and academic impact of a paper on "Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range" published by Tiejun Tong's team in 2018 based on the citation content. The results concluded that the paper was recognised by scholars in the same field and had a significant impact in medical meta-analysis.