针对目前h指数存在的不足,学界尚缺乏一种综合有效的评价指标,为此,笔者期待介绍一种论文评价的ammaa算法,并提出一种融入时间维度的优化算法,即t;mmaa算法,通过对论文影响力的评价来反映学者个人的影响力评价。研究过程中,以Web of Sci...针对目前h指数存在的不足,学界尚缺乏一种综合有效的评价指标,为此,笔者期待介绍一种论文评价的ammaa算法,并提出一种融入时间维度的优化算法,即t;mmaa算法,通过对论文影响力的评价来反映学者个人的影响力评价。研究过程中,以Web of Science作为数据源,聚焦国内图情领域作者发文,计算论文ammaa值及t;mmaa值,进而得出学者的ammaa值及t;mmaa值,并将两种算法结果排名与学者H值排名通过归一化处理,进行实证对比分析。结果表明:t;mmaa算法综合考虑发文被引次数、被引次数的阙值限制、合著者人数及论文被引时间的异质性,既可以对独著和合著论文影响力进行综合性评价,也可以消除时间因素带来的影响,是一种更为合理的学者和论文影响力评价计量方法。展开更多
Aiming at the deficiency of h index and the lack of a comprehensive and effective evaluation index,this paper introduces an ammaa algorithm for paper evaluation and proposes an optimization algorithm integrating time ...Aiming at the deficiency of h index and the lack of a comprehensive and effective evaluation index,this paper introduces an ammaa algorithm for paper evaluation and proposes an optimization algorithm integrating time dimension:t-ammaa algorithm,which reflects the influence evaluation of individual scholars through the evaluation of paper influence.We used Web of Science as the data source and focused on the paper published by the authors of Chinese library and info rmation science,to calculate the ammaa value and t-ammaa value of these papers,and then obtained the ammaa value and t-ammaa value of the scholar.The result ranking of the two algorithms and the scholar’s H-value ranking are normalized for empirical comparison and analysis.The results show that t-ammaa algorithm considering the cited times,the cited threshold limit,the co-authors’number,and the temporal heterogeneity of the cited papers,is a more reasonable measurement method for evaluating the influence of scholars.It can not only comprehensively evaluate the influence of single author and co-authored paper,but also eliminate the influence brought by time factor.展开更多
文摘针对目前h指数存在的不足,学界尚缺乏一种综合有效的评价指标,为此,笔者期待介绍一种论文评价的ammaa算法,并提出一种融入时间维度的优化算法,即t;mmaa算法,通过对论文影响力的评价来反映学者个人的影响力评价。研究过程中,以Web of Science作为数据源,聚焦国内图情领域作者发文,计算论文ammaa值及t;mmaa值,进而得出学者的ammaa值及t;mmaa值,并将两种算法结果排名与学者H值排名通过归一化处理,进行实证对比分析。结果表明:t;mmaa算法综合考虑发文被引次数、被引次数的阙值限制、合著者人数及论文被引时间的异质性,既可以对独著和合著论文影响力进行综合性评价,也可以消除时间因素带来的影响,是一种更为合理的学者和论文影响力评价计量方法。
基金2018 National Social Science Fund Project"Construction and Empirical Research of Altmetrics Evaluation Model Based on User Behavior Motivation"(project No 18BTQ075)2017 Philosophy and Social Science of Guangdong Province"Multi-dimensional Information Measurement System,Evaluation Model and Empirical Research on Academic Achievements Based on Altmetrics"(Project No.GD17CTS01)。
文摘Aiming at the deficiency of h index and the lack of a comprehensive and effective evaluation index,this paper introduces an ammaa algorithm for paper evaluation and proposes an optimization algorithm integrating time dimension:t-ammaa algorithm,which reflects the influence evaluation of individual scholars through the evaluation of paper influence.We used Web of Science as the data source and focused on the paper published by the authors of Chinese library and info rmation science,to calculate the ammaa value and t-ammaa value of these papers,and then obtained the ammaa value and t-ammaa value of the scholar.The result ranking of the two algorithms and the scholar’s H-value ranking are normalized for empirical comparison and analysis.The results show that t-ammaa algorithm considering the cited times,the cited threshold limit,the co-authors’number,and the temporal heterogeneity of the cited papers,is a more reasonable measurement method for evaluating the influence of scholars.It can not only comprehensively evaluate the influence of single author and co-authored paper,but also eliminate the influence brought by time factor.
