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1.
张颖 《图书馆学刊》2012,35(4):137-140
从近7年发表的Google Scholar相关文章入手,统计并分析了这期间有关Google Scholar研究的文献发表情况及关注度,着重讨论了国内主要相关研究的进展。  相似文献   

2.
从期刊被引频次的角度出发,采取实证研究的方法,选取国际权威的引文数据库Web of Science和著名的搜索引擎Google Scholar,以<美国信息科学和技术学会杂志>为文献源,对Web of Science和Google Scholar两个引文分析工具进行比较和探讨.  相似文献   

3.
介绍了Google Scholar的定义、概念、搜索技术以及它的出现给文献传递业务带来的影响和变化,论述了由Google Scholar引发的一些思考。  相似文献   

4.
文章以中国科学院机构知识库CAS OpenIR为例,采用基于学术搜索引擎Google Scholar优化的策略和方法,如针对Google Scholar收录原则、Google Scholar元数据体系、sitemaps、Robots协议等策略和方法进行分析和实践,通过提升机构知识库在Google Scholar中的收录比率,进而增强机构知识库中内容被发现引用的机率,以扩大IR利用影响力。  相似文献   

5.
Google Scholar与图书馆的文献传递服务   总被引:6,自引:0,他引:6  
文章首先探讨了GoogleScholar揭示和传递学术信息的过程,在此基础上分析了Google Scholar对文献传递服务形成的挑战和不足,总结了其对文献传递服务发展的启示,包括建立联合目录和统一的检索系统、加入Google Scholar的图书馆链接计划、改进文献传递系统、适当降低文献传递成本.  相似文献   

6.
本文利用Google Scholar进行了网络环境下我国图书情报界学者的共被引分析研究,进行了聚类分析和多维尺度分析,并利用Pajek进行了可视化,以期对Google Scholar的文献计量功能有更多深入的了解,并应用到实际的科研活动中。  相似文献   

7.
目前我国"211"高校图书馆比较注重对Google Scholar搜索引擎的应用,有58所高校图书馆以各种形式提供了Google Scholar的相关链接,但在实际应用中还存在不足,应加大宣传力度,结合Google Scholar搜索引擎的特点,为用户提供针对性的服务。  相似文献   

8.
关于Google Scholar与Web of Science引文分析的实证研究   总被引:2,自引:0,他引:2  
从期刊被引频次的角度出发,采取实证研究的方法,选取国际权威的引文数据库Web of Science和著名的搜索引擎Google Scholar,以《美国信息科学和技术学会杂志》为文献源进行相关分析。  相似文献   

9.
Google Scholar对MEDLINE数据库的检索性能测评   总被引:5,自引:0,他引:5  
文章以Google Scholar检索MEDLINE数据的检索结果和PubMed的检索结果进行对比分析,以帮助用户正确认识使用Google Scholar.  相似文献   

10.
Google Scholar的学术特性及对图书馆参考咨询服务的影响   总被引:1,自引:0,他引:1  
文章阐述Google Scholar的学术特性,并探讨了Google Scholar的飞速发展对图书馆的参考咨询服务所带来的机遇及挑战。  相似文献   

11.
12.
This study measured the degree of Google Scholar adoption within academia by analyzing the frequency of Google Scholar appearances on 948 campus and library Web sites, and by ascertaining the establishment of link resolution between Google Scholar and library resources. Results indicate a positive correlation between the implementation of Google Scholar link resolution and the degree of Google Scholar adoption.  相似文献   

13.
Google Scholar即Google学术搜索,是建立在Google搜索引擎基础上,直接面向科研需要的学术资源的网络检索工具。其搜索内容涉及诸多学科,并经业内专家评审,具有相当的权威性。该搜索引擎具有检索操作便捷化,选题标准学术化、引用搜索智能化、瞬间运行高速化等特点。Google Scholar及其中文版的出现,对于推动我国的科技进步和学术研究,具有积极意义。参考文献31。  相似文献   

14.
Google Scholar在科技论文学术查新中的作用   总被引:4,自引:0,他引:4  
胡玲 《编辑学报》2008,20(4):359-360
Google Scholar是建立在Google搜索引擎上直接面向科研需要的学术资源的网络搜索工具,为广大学术查新工作者提供了极其方便的条件.阐述Google Scholar在科技论文学术查新中的作用,并分析其不足之处,提出了弥补方法.  相似文献   

15.
Google Scholar is a free service that provides a simple way to broadly search for scholarly works and to connect patrons with the resources libraries provide. The researchers in this study analyzed Google Scholar usage data from 2006 for three library tools at San Francisco State University: SFX link resolver, Web Access Management proxy server, and ILLiad interlibrary loan server. Overall, the data suggested that Google Scholar had become a very useful resource in the library and was a significant addition to the library's collection of research databases. SFX data revealed requests from Google Scholar grew ten-fold from 2006 to 2011, and that Google Scholar became the top-ranked SFX source for requests in 2011. Library patrons favored Google Scholar over San Francisco State University's federated search tool, MetaLib, and it has become an important source for interlibrary loan requests. Analysis of San Francisco State University usage data will assist other libraries in their decisions about the implementation of Google Scholar.  相似文献   

16.
ABSTRACT

In order to understand better and explain the practices of Google Scholar, this essay takes a rhetorical and holistic look at the search technology, language, and sociopolitical implications of the Google Scholar interface as well as the connection between Google Scholar and the actions of the Google Corporation. The relationship between Google Scholar and the academic library is also explored. In addition, the essay offers ways to encourage students to undertake this kind of critique in the information literacy classroom.  相似文献   

17.
Dissertations can be the single most important scholarly outputs of junior researchers. Whilst sets of journal articles are often evaluated with the help of citation counts from the Web of Science or Scopus, these do not index dissertations and so their impact is hard to assess. In response, this article introduces a new multistage method to extract Google Scholar citation counts for large collections of dissertations from repositories indexed by Google. The method was used to extract Google Scholar citation counts for 77,884 American doctoral dissertations from 2013 to 2017 via ProQuest, with a precision of over 95%. Some ProQuest dissertations that were dual indexed with other repositories could not be retrieved with ProQuest-specific searches but could be found with Google Scholar searches of the other repositories. The Google Scholar citation counts were then compared with Mendeley reader counts, a known source of scholarly-like impact data. A fifth of the dissertations had at least one citation recorded in Google Scholar and slightly fewer had at least one Mendeley reader. Based on numerical comparisons, the Mendeley reader counts seem to be more useful for impact assessment purposes for dissertations that are less than two years old, whilst Google Scholar citations are more useful for older dissertations, especially in social sciences, arts and humanities. Google Scholar citation counts may reflect a more scholarly type of impact than that of Mendeley reader counts because dissertations attract a substantial minority of their citations from other dissertations. In summary, the new method now makes it possible for research funders, institutions and others to systematically evaluate the impact of dissertations, although additional Google Scholar queries for other online repositories are needed to ensure comprehensive coverage.  相似文献   

18.
Google Scholar’s coverage of the engineering literature is analyzed by comparing its contents with those of Compendex, the premier engineering database. Records retrieved from Compendex were searched in Google Scholar, and a decade by decade comparison was done from the 1950s through 2007. The results show that the percentage of records appearing in Google Scholar increased over time, approaching a 90 percent matching rate for materials published after 1990.  相似文献   

19.
Adding the external variables of satisfaction and loyalty to Fred Davis' technology acceptance model (TAM), this study examined the extent to which graduate students perceived Google Scholar to be a resource that is useful and easy to use. A survey of 1141 graduate students at the University of Minnesota asked questions exploring their perceptions of Google Scholar as part of their research process. Seventy-five percent of survey participants had used Google Scholar at least once before, and a statistical analysis of the responses found that perceived usefulness, loyalty, and, to a lesser extent, perceived ease of use, were positively and significantly related to the graduate students' intended use of the information resource. This research showed that TAM is an applicable model for predicting graduate student use of Google Scholar, which can help academic librarians seeking to understand graduate student acceptance of new information sources. Additionally, this study provides information about how librarians might best promote Google Scholar and other library resources to graduate students.  相似文献   

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