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文献计量数据是否反映了研究的推广?对德国卓越计划资助的卓越集群中高被引论文的网络分析。

Is the promotion of research reflected in bibliometric data? A network analysis of highly cited papers on the Clusters of Excellence supported under the Excellence Initiative in Germany.

作者信息

Bornmann Lutz

机构信息

Division for Science and Innovation Studies, Administrative Headquarters of the Max Planck Society, Hofgartenstr. 8, 80539 Munich, Germany.

出版信息

Scientometrics. 2016;107:1041-1061. doi: 10.1007/s11192-016-1925-2. Epub 2016 Mar 23.

Abstract

Under the Excellence Initiative, a number of Clusters of Excellence in Germany have been supported since 2006 and 2007-including each a limited number of cooperating institutions. The aim of the present study is to investigate whether support for Clusters of Excellence since 2006 and 2007 is reflected in bibliometric network data. For this purpose, a comparison is made between network data in the period before support started (2003-2005) and in the period after support started (2009-2011). For these two periods, a co-authorship network is generated (based on the funded institutions). This is based on publications which are among the 1 % most frequently cited publications in their respective fields and publication year and which have at least one author from Germany. As the results show, the outcomes this yields for life sciences and natural sciences differ from each other. Whereas natural sciences display an effect of establishment of Clusters of Excellence on the bibliometric networks, this was not true of life sciences. After establishment of the Clusters of Excellence, the network in natural sciences not only contained more institutions of a Cluster of Excellence, but these institutions were distributed across fewer bibliometric clusters in the network than before establishment. In other words the structure of the Clusters of Excellence was better reflected in the network.

摘要

在卓越计划下,自2006年和2007年以来,德国的一些卓越集群得到了支持,每个卓越集群都包括数量有限的合作机构。本研究的目的是调查自2006年和2007年以来对卓越集群的支持是否反映在文献计量网络数据中。为此,对支持开始前(2003 - 2005年)和支持开始后(2009 - 2011年)这两个时期的网络数据进行了比较。对于这两个时期,生成了一个共同作者网络(基于受资助机构)。这是基于在各自领域和出版年份中被引用频率最高的1%的出版物,并且这些出版物至少有一位来自德国的作者。结果表明,生命科学和自然科学的结果彼此不同。自然科学显示出卓越集群的建立对文献计量网络有影响,而生命科学则不然。卓越集群建立后,自然科学网络不仅包含了更多卓越集群的机构,而且这些机构在网络中分布在比建立前更少的文献计量集群中。换句话说,卓越集群的结构在网络中得到了更好的体现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aaa6/4865529/b662eaf0488f/11192_2016_1925_Fig5_HTML.jpg

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