攒资料:数据库使用统计中有关学术搜索的图表
在Database statistics applied to investigate the effects of electronic information services on publication of academic research – a comparative study covering Austria, Germany and Switzerland一文中,对2004年及以后几年数据统计情况进行分析,得出的结论是:
This study did not find evidence that the average time spend on Browse/scan and Search is decreasing, on the contrary, this study found that time spent on Browse/scan and Search is increasing, possibly caused by a broader penetration amongst less trained users. This study further clearly showed that a larger content offering coincides with a dramatic increase in Full Text Article requests, and that the contribution of Back File material to the total number of Full Text Article requests is modest. Finally, this study showed that an increase in Full Text Article requests, after about 2 years, coincides with increased article publication.
原因似乎是归结于不断增长的未接受良好信息素质教育的用户(读者)是导致花费在检索和浏览上时间增长。同时也看出学术信息内容的较大增长与全文文献需求的剧烈增长相一致。里面的一些图表有些意义,至少比以前自己积攒的别人会议上的PPT上的图有更可利用借鉴引用性。
其数据主要来自于2004-2007的ScienceDirect、2006-2007年Scopus,以及其他网络参考信息源及搜索引擎的统计如Pubmed、Google、EZB,对三个国家(奥地利、德国和瑞士),也只能借助于SD、Scopus这样的大型数据库(全文或参考库)进行统计分析,才能真正地从多国或全球进行分析。所以说,宏观的分析数据来源极其重要,自己如果要比较也不外乎比较一下自己学校几年的趋势或最大加上全国的一些异同而已,数据使然也!

- Time spend on various content types
- Number of Full Text Article requests and number of articles produced per million inhabitants for Germany and the United Kingdom

