替代计量指标分层与聚合的理论研究

图书馆杂志 ›› 2014, Vol. 33 ›› Issue (10): 13-19.

替代计量指标分层与聚合的理论研究

余厚强,邱均平

出版日期:2014-10-15 发布日期:2014-10-25
作者简介:余厚强武汉大学信息管理学院，博士生。研究方向：信息管理与科学评价、信息可视化与替代计量学。yuhouq@yeah.net 湖北武汉 430072
邱均平武汉大学中国科学评价研究中心，教授。研究方向：知识管理与竞争情报，信息计量与科学评价。湖北武汉 430072

Theoretical Research on Stratifying and Aggregating Altmetric Indicators

Yu Houqiang, Qiu Junping

Online:2014-10-15 Published:2014-10-25

摘要/Abstract

摘要： 众多替代计量指标处在离散状态，不利于利益相关者对替代计量学的理解，也使得替代计量研究呈现非系统化特点。笔者以学术成果影响力为切入点，首先构建了学术成果影响力产生模型，据此对替代计量指标实行分层，即传播层次、获取层次和利用层次，发现了不同层次替代计量指标的转化关系，并在每层增加了程度维度，即传播强度、获取粘性和利用深度，使每个既有替代计量指标在整个分层体系中得到定位，有利于加深对这些指标的理解；最后，在明确了对替代计量指标聚合的四点注意事项后，总结了替代指标聚合的三种方法，即数学处理、分配权重和关联可视化，并指出数学处理的聚合强度最高。

关键词: 替代计量学, 聚合, 分层, 学术影响力, 社会影响力

Abstract: A large quantity of altmetris indicators are scattered, which is not conducive to non-professional stakeholders’ understanding, and makes altemtrics studies unsystematic. Bearing the influence of academic results in mind, the author firstly builds a generation model of academic products' impact, and categorizes altmetrics indicators into layers of propagation, obtainment and application. The author discovers the possibility of transitions of indicators among these three layers and adds dimensions (i.e., propagation intensity, obtainment stickiness, and application depth) to each layer, so as to deepen the understanding of altmetris indicators. In the end, after pointing out four issues worthy of attention on indicator aggregation, the author summarizes three was of aggregation, namely, mathematic processing, weight allocation and correlation visualization, among which, mathematic processing is believed to generate the highest level of aggregation.

Key words: Altmetrics, Aggregation, Stratification, Academic Impact, Social Impact

余厚强,邱均平. 替代计量指标分层与聚合的理论研究[J]. 图书馆杂志, 2014, 33(10): 13-19.

Yu Houqiang, Qiu Junping. Theoretical Research on Stratifying and Aggregating Altmetric Indicators[J]. LIBRARY JOURNAL, 2014, 33(10): 13-19.

参考文献

[ 1 ] 邱均平, 余厚强. 替代计量学的提出过程与研究进展[J]. 图书情报工作, 2013(19): 5-12.
[ 2 ] Piwowar H. Altmetrics: Value All Research Products[J]. Nature, 2013, 493(7431): 159-159.
[ 3 ] Adie E, Roe W. Altmetric: Enriching Scholarly Content with Article-level Discussion and Metrics.[J]. Learned Publishing, 2013, 26(1): 3-5.
[ 4 ] Galligan F, Dyas-correia S. Altmetrics: Rethinking the Way We Measure[J]. Serials Review, 2013,39(1): 56-61.
[ 5 ] Konkiel S. Altmetrics: a 21st Century Solution to Determining Research Quality[J]. Online Searcher, 2013(8): 12-16.
[ 6 ] Thelwall M, Haustein S, Larivière V, et al. Do Altmetrics Work? Twitter and Ten Other Social Web Services[J]. Plos One, 2013, 8(5): e64841.
[ 7 ] Mounce R. Open Access and Altmetrics: Distinct but Complementary[J]. Bulletin of the American Society for Information Science and Technology, 2013, 39(4): 14-17.
[ 8 ] Ovadia S. When Social Media Meets Scholarly Publishing[J]. Behavioral & Social Sciences Librarian, 2013, 32(3): 194-198.
[ 9 ] Taylor M. Exploring the Boundaries: How Altmetrics Can Expand Our Vision of Scholarly Communication and Social Impact[J]. Information Standards Quarterly, 2013, 25: 27-32.
[10] Mohammadi E, Thelwall M. Assessing Nonstandard Article Impact Using F1000 Labels[J].
Scientometrics, 2013, 97(2): 383-395.
[11] Bollen J, Van de sompel H, Smith J A, et al. Toward Alternative Metrics of Journal Impact: a Comparison of Download and Citation Data[J]. Information Processing & Management, 2005, 41(6): 1419-1440.
[12] Taraborelli D. Soft Peer Review: Social Software and Distributed Scientific Evaluation[C]. Proceedings of the 8th International Conference on the Design of Cooperative Systems, 2008: 25-32.
[13] Bollen J, Van de sompel H, Hagberg A, et al. A Principal Component Analysis of 39 Scientific
Impact Measures[J]. Plos One, 2009, 4(6): e6022.
[14] Yan K-K, Gerstein M. The Spread of Scientific Information: Insights From the Web Usage Statistics in Plos Article-level Metrics[J]. Plos One, 2011, 6(5): e19911.
[15] Wang X W, Mao W L, Xu S M, et al. Usage History of Scientific Literature: Nature Metrics and Metrics of Nature Publications[J]. Scientometrics, 2014, 98(3): 1923-1933.
[16] Sud P, Thelwall M. Evaluating Altmetrics[J]. Scientometrics, 2014, 98(2): 1131-1143.
[17] 影响力. MBA智库[EB/OL]. [2014-06-15]. http: //wiki. mbalib. com/wiki/影响力.
[18] Zhang J, Su X L, Deng S H. The Academic Impact of Chinese Humanities and Social Science Research[J]. Aslib Proceedings, 2008, 60(1): 55-74.

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