检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:逯万辉[1] Lu Wanhui(Chinese Academy of Social Sciences Evaluation Studies CASS,Beijing 100732,China)
机构地区:[1]中国社会科学院中国社会科学评价研究院,北京100732
出 处:《文献与数据学报》2024年第1期3-14,共12页Journal of Library and Data
基 金:国家社会科学基金青年项目“主题级学科交叉性测度与学科交叉主题识别方法研究”(项目编号:20CTQ027)研究成果之一。
摘 要:[目的/意义]学术论文评价在整个科学评价系统中具有较强的基础性和辐射性作用。构建能够反映学术论文长期学术影响的测度指标,是完善学术论文评价体系的重要一环。[方法/过程]本文研究和构建了能够综合考虑直接引用和间接引用的引用链关系、兼顾学术成果持续性知识贡献水平的论文学术影响力评价方法(简称MGR-KI方法),并以电磁超材料领域的2070篇论文涉及的7652组引用关系和14074058条引文链路为数据源展开实证研究,验证了本文所构建方法的可行性和有效性。[结果/结论]本文构建的基于MGR-KI的学术影响力评价方法兼顾了不同被引类型特征,同时相较于被引频次和被引h指数的学术论文影响力评价结果,该方法表现出更强的区分度,更利于开展相同被引频次下不同论文的精细化对比与评价。基于特征维度与语义维度的文本相似度计算方法的不同会对结果造成显著影响,后续需要展开更细粒度上的知识遗传关系挖掘和遗传强度计算方法研究,实现更加精确的测度与评价。[Purpose/Significance]The evaluation of academic papers plays a fundamental and radiant role in the whole scientific evaluation system.It is an important part of the evaluation system to construct the measurement index that can reflect the long-term academic influence of academic papers.[Method/Process]This paper constructs a paper academic impact evaluation method called MGR-KI method for short which can comprehensively consider the citations chain relationship between direct citations and indirect citations,and take into account the level of sustained knowledge contribution of academic achievements,then uses 7652 sets of citation relationships and 14074058 citation links involved in 2070 papers in the field of electromagnetic metamaterials as data sources for the empirical research and the feasibility and effectiveness of the proposed method are verified.[Result/Conclusion]The results show that the academic impact evaluation method based on MGR-KI established in this paper shows stronger differentiation compared with the impact evaluation results of papers based on citation frequency and cited h index,which takes into account the characteristics of different citation types and has fine comparison of different papers.The difference of text similarity calculation methods based on feature dimension and semantic dimension will have a significant impact on the results.More fine-grained researches on knowledge genetic relationship mining and genetic strength calculation methods should be carried out to achieve more accurate measurement and evaluation.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:18.119.103.13