| 基于网络文献计量的科技论文学术影响力综合评价研究 |
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| 引用本文： | 沈小玲,徐勇,严卫中.基于网络文献计量的科技论文学术影响力综合评价研究[J].图书情报工作,2013,57(21):95-103. |
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| 作者姓名： | 沈小玲 徐勇 严卫中 |
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| 作者单位： | 1. 安徽财经大学图书馆;
2. 安徽财经大学管理科学与工程学院;
3. 美国通用电气公司全球研发中心 |
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| 基金项目： | 本文系国家社会科学基金一般项目“基于链接分析的网络科技论文学术影响评价研究”（项目编号：09BTQ019） 研究成果之一。 |
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| 摘 要： | 基于引文评价与同行评审方法相结合进行论文评价的思路，利用F1000数据库随机获取同行评审指标论文131篇，利用WoS、JCR、ESI及ImpactStory检索工具获取每篇论文的常用网络计量指标，探讨与同行评价相关联的网络计量指标，并将其替代同行评价纳入学术影响力综合评价模型。研究结果显示，综合评价能弥补单一类型指标评价的缺陷，实际的计量评价中采用相对指标和标准化处理，可以消除不同学科领域的影响因素和期刊数量的差异性，使评价具有跨学科、跨时间的可比性，通过对指标间相关性和相似性分析，可简化、替代或扩展指标。通过调整指标权重，突出同行评审在评价模型中作用，并具有一定的可操作性。
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| 关 键 词： | 综合评价 网络科技论文 学术影响力 同行评价指标 相对指标 |
| 收稿时间： | 2013-09-18 |
Empirical Research on Network Comprehensive Evaluation of Academic Influence of Sci-tech Papers |
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| Shen Xiaoling,Xu Yong,Yan Weizhong.Empirical Research on Network Comprehensive Evaluation of Academic Influence of Sci-tech Papers[J].Library and Information Service,2013,57(21):95-103. |
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| Authors: | Shen Xiaoling Xu Yong Yan Weizhong |
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| Institution: | 1. Library of Anhui University of Finance & Economics, Bengbu 233030;
2. School of Management Science & Engineering, Anhui University of Finance & Economics, Bengbu 233030;
3. Machine Learning Lab GE Global Research Center Niskayuna, New York 12065 |
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| Abstract: | Based on both the citation evaluation and the peer review methods of paper evaluation, using F1000 database randomly, this article gets 131 peer review indicators papers. By using WOS, JCR, ESI and the ImpactStory retrieved tools, this paper gets the common network measurement indicators of each article. Then it explored the indicators involved with peer evaluation, and formed academic influence integrated evaluation model without the process of peer review. The results show that integrated evaluation can make up the defects of single indicator evaluation. The actual relative indicators used in the evaluation and standardization of measurement, eliminated the different influence factors in various subject areas and the number of periodicals to enable interdisciplinary evaluation comparability across time. Through the analysis of similarities and correlations among indicators, it is possible to simplify, substitute or expand indicators. By adjusting the weights, highlighting the role of peer review in evaluation model, this model has a good maneuverability. |
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| Keywords: | comprehensive evaluation network sci-tech papers academic influence peer evaluation index relative indicators |
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