MESUR: usage-based metrics of scholarly impact
MESUR: usage-based metrics of scholarly impact
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MESUR：基于使用的学术影响力指标
DOI：
10.1145/1255175.1255273
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发表时间：
2007
期刊：
影响因子：
13.6
通讯作者：
H. Sompel
中科院分区：
文献类型：
--
作者：
J. Bollen;Michael A. Rodriguez;H. Sompel
学术交流项目的评估现在主要是专家意见或来自引用数据的指标。这两种方法都可能没有考虑到塑造学术影响力的无数因素。使用数据已成为现有评估方法的一个有前途的补充，但缺乏可靠有效地应用基于使用的学校影响指标的正式基础。安德鲁W。Mellon基金会资助的MESUR项目通过创建学术交流过程的语义模型，系统地定义，验证和交叉验证了一系列基于使用的schlolarly影响指标。所构建的模型将作为创建一个大规模语义网络的基础，该网络将来自各种来源的引文、书目和使用数据无缝地联系起来。使用已建立的语义网络作为参考数据集的后续程序将确定各种基于使用的schlolarly影响度量的特征和语义。本文概述了MESUR项目所采用的架构和方法及其未来的发展方向。
The evaluation of scholarly communication items is now largely a matter of expert opinion or metrics derived from citation data. Both approaches can fail to take into account the myriad of factors that shape scholarly impact. Usage data has emerged as a promising complement to existing methods o fassessment but the formal groundwork to reliably and validly apply usage-based metrics of schlolarly impact is lacking. The Andrew W. Mellon Foundation funded MESUR project constitutes a systematic effort to define, validate and cross-validate a range of usage-based metrics of schlolarly impact by creating a semantic model of the scholarly communication process. The constructed model will serve as the basis of a creating a large-scale semantic network that seamlessly relates citation, bibliographic and usage data from a variety of sources. A subsequent program that uses the established semantic network as a reference data set will determine the characteristics and semantics of a variety of usage-based metrics of schlolarly impact. This paper outlines the architecture and methodology adopted by the MESUR project and its future direction.
影响因子：
7.6
作者：
J. M. Digman
通讯作者：
J. M. Digman