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Springer Handbook of Science and Technology Indicators最新文献

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Readership Data and Research Impact 读者数据和研究影响
Pub Date : 2019-01-24 DOI: 10.1007/978-3-030-02511-3_29
Ehsan Mohammadi, M. Thelwall
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引用次数: 2
Reviewing, indicating, and counting books for modern research evaluation systems 为现代研究评价体系审核、批示和计数书籍
Pub Date : 2018-07-16 DOI: 10.1007/978-3-030-02511-3_27
Alesia A. Zuccala, N. Robinson-García
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引用次数: 13
Scholarly Twitter metrics 学术推特指标
Pub Date : 2018-06-06 DOI: 10.1007/978-3-030-02511-3_28
S. Haustein
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引用次数: 70
Field normalization of scientometric indicators 科学计量指标的现场归一化
Pub Date : 2018-01-30 DOI: 10.1007/978-3-030-02511-3_11
L. Waltman, Nees Jan van Eck
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引用次数: 39
The Journal Impact Factor: A brief history, critique, and discussion of adverse effects 期刊影响因子:负面影响的简史、批判和讨论
Pub Date : 2018-01-26 DOI: 10.1007/978-3-030-02511-3_1
V. Larivière, Cassidy R. Sugimoto
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引用次数: 120
Google Scholar as a data source for research assessment 作为研究评估的数据来源
Pub Date : 2017-12-12 DOI: 10.31235/osf.io/pqr53
Emilio Delgado López-Cózar, E. Orduña-Malea, Alberto Martín-Martín
The launch of Google Scholar (GS) marked the beginning of a revolution in the scientific information market. This search engine, unlike traditional databases, automatically indexes information from the academic web. Its ease of use, together with its wide coverage and fast indexing speed, have made it the first tool most scientists currently turn to when they need to carry out a literature search. Additionally, the fact that its search results were accompanied from the beginning by citation counts, as well as the later development of secondary products which leverage this citation data (such as Google Scholar Metrics and Google Scholar Citations), made many scientists wonder about its potential as a source of data for bibliometric analyses. The goal of this chapter is to lay the foundations for the use of GS as a supplementary source (and in some disciplines, arguably the best alternative) for scientific evaluation. First, we present a general overview of how GS works. Second, we present empirical evidences about its main characteristics (size, coverage, and growth rate). Third, we carry out a systematic analysis of the main limitations this search engine presents as a tool for the evaluation of scientific performance. Lastly, we discuss the main differences between GS and other more traditional bibliographic databases in light of the correlations found between their citation data. We conclude that Google Scholar presents a broader view of the academic world because it has brought to light a great amount of sources that were not previously visible.
Google Scholar的推出标志着科学信息市场一场革命的开始。与传统的数据库不同,这个搜索引擎可以自动索引来自学术网络的信息。它的易用性,加上其广泛的覆盖范围和快速的索引速度,使它成为大多数科学家目前需要进行文献搜索时的首选工具。此外,它的搜索结果从一开始就伴随着引文计数,以及后来开发的利用这些引文数据的二级产品(如Google Scholar Metrics和Google Scholar citation),使许多科学家怀疑它作为文献计量分析数据来源的潜力。本章的目标是为使用GS作为科学评估的补充来源(在某些学科中,可以说是最好的替代来源)奠定基础。首先,我们概述一下GS的工作原理。其次,我们对其主要特征(规模、覆盖率和增长率)进行了实证分析。第三,我们对该搜索引擎作为科学绩效评估工具的主要局限性进行了系统的分析。最后,根据引文数据之间的相关性,我们讨论了GS与其他传统书目数据库之间的主要区别。我们得出的结论是,谷歌学术展示了一个更广阔的学术世界,因为它揭示了大量以前不可见的资源。
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引用次数: 77
Usage Bibliometrics as a Tool to Measure Research Activity 使用文献计量学作为测量研究活动的工具
Pub Date : 2017-06-07 DOI: 10.1007/978-3-030-02511-3_32
E. Henneken, Michael J. Kurtz
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引用次数: 11
Bibliometric Studies on Gender Disparities in Science 科学领域性别差异的文献计量学研究
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-02511-3_21
Gali Halevi
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引用次数: 16
Interplay of Patents and Trademarks as Tools in Economic Competition 专利与商标作为经济竞争工具的相互作用
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-02511-3_42
S. Mendonça, U. Schmoch, Peter Neuhäusler
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引用次数: 6
Methodological Challenges for Creating Accurate Patent Indicators 创建准确的专利指标的方法挑战
Pub Date : 1900-01-01 DOI: 10.1007/978-3-030-02511-3_37
U. Schmoch, Mosahid Khan
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引用次数: 2
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Springer Handbook of Science and Technology Indicators
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