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ABSTRACT Google Scholar has multiple uses as a reference tool of last resort, including citation completion, an alternative when catalogs are down, and interdisciplinary metasearching and database suggestion. During the reference desk transaction, users can be taught effective Google Scholar search techniques such as advanced search functionality and the nuances of results' groupings. In addition, reference desk interactions with Google Scholar give insight for instructional workshops. 相似文献
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Joan Giglierano 《图书馆管理杂志》2013,53(1-2):101-113
ABSTRACT Almost three years after Google Scholar's inception, only a third of Ohio Library and Information Network (OhioLINK) member libraries link to it from their Web sites. This article reports the results of a July 2007 survey of OhioLINK academic librarians, conducted to find out about their attitudes and current practices regarding promotion of Google Scholar. It compares the findings about placement of Google Scholar on Web sites and inclusion in library instruction with previous research, and includes recommendations for libraries about Google Scholar. 相似文献
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Barbara Quint 《图书馆管理杂志》2013,53(1-2):77-79
ABSTRACT Provides new insights into the growth and development of Google Scholar, based on an interview with its designer, Anurag Acharya. 相似文献
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ABSTRACT The paper discusses and analyzes the coverage of scientific serials in Google Scholar (GS). The focus is on an exploratory study. The study shows deficiencies in the coverage and up-to-dateness of the GS index. Furthermore, the study points up which Web servers are the most important data providers for this search service and which information sources are highly represented. There is a relatively large gap in Google Scholar's coverage of German literature as well as weaknesses in the accessibility of Open Access content. 相似文献
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Patrick Obrien Kenning Arlitsch Leila Sterman Jeff Mixter Jonathan Wheeler Susan Borda 《图书馆管理杂志》2013,53(7):854-874
ABSTRACTA primary impact metric for institutional repositories (IR) is the number of file downloads, which are commonly measured through third-party Web analytics software. Google Analytics, a free service used by most academic libraries, relies on HTML page tagging to log visitor activity on Google's servers. However, Web aggregators such as Google Scholar link directly to high value content (usually PDF files), bypassing the HTML page and failing to register these direct access events. This article presents evidence of a study of four institutions demonstrating that the majority of IR activity is not counted by page tagging Web analytics software, and proposes a practical solution for significantly improving the reporting relevancy and accuracy of IR performance metrics using Google Analytics. 相似文献
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Wichor Matthijs Bramer 《Journal of the Medical Library Association》2016,104(2):143-145
Objective
Google Scholar is often used to search for medical literature. Numbers of results reported by Google Scholar outperform the numbers reported by traditional databases. How reliable are these numbers? Why are often not all available 1,000 references shown?Methods
For several complex search strategies used in systematic review projects, the number of citations and the total number of versions were calculated. Several search strategies were followed over a two-year period, registering fluctuations in reported search results.Results
Changes in numbers of reported search results varied enormously between search strategies and dates. Theories for calculations of the reported and shown number of hits were not proved.Conclusions
The number of hits reported in Google Scholar is an unreliable measure. Therefore, its repeatability is problematic, at least when equal results are needed. 相似文献9.
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
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《Journal of Web Librarianship》2013,7(2):94-108
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
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Previous research has shown that citation data from different types of Web sources can potentially be used for research evaluation. Here we introduce a new combined Integrated Online Impact (IOI) indicator. For a case study, we selected research articles published in the Journal of the American Society for Information Science & Technology (JASIST) and Scientometrics in 2003. We compared the citation counts from Web of Science (WoS) and Scopus with five online sources of citation data including Google Scholar, Google Books, Google Blogs, PowerPoint presentations and course reading lists. The mean and median IOI was nearly twice as high as both WoS and Scopus, confirming that online citations are sufficiently numerous to be useful for the impact assessment of research. We also found significant correlations between conventional and online impact indicators, confirming that both assess something similar in scholarly communication. Further analysis showed that the overall percentage for unique Google Scholar citations outside the WoS were 73% and 60% for the articles published in JASIST and Scientometrics, respectively. An important conclusion is that in subject areas where wider types of intellectual impact indicators outside the WoS and Scopus databases are needed for research evaluation, IOI can be used to help monitor research performance. 相似文献
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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
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
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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
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《Journal of Informetrics》2007,1(1):26-34
Citation analysis was traditionally based on data from the ISI Citation indexes. Now with the appearance of Scopus, and with the free citation tool Google Scholar methods and measures are need for comparing these tools. In this paper we propose a set of measures for computing the similarity between rankings induced by ordering the retrieved publications in decreasing order of the number of citations as reported by the specific tools. The applicability of these measures is demonstrated and the results show high similarities between the rankings of the ISI Web of Science and Scopus and lower similarities between Google Scholar and the other tools. 相似文献
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Tanya CothranAuthor vitae 《Library & information science research》2011,33(4):293-301
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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Christopher Giuliano Sean McConachie Julie Kalabalik-Hoganson 《Journal of the Medical Library Association》2021,109(2):212
Objective:The purpose of this study was to compare pharmacy students’ ability to correctly answer drug information questions using Micromedex with Watson, Micromedex without Watson, or Google.Methods:This multicenter randomized trial compared pharmacy student responses to drug information questions using Micromedex with Watson, Micromedex without Watson, or Google from January to March of 2020. First- to fourth-year pharmacy students at two institutions were included. The primary outcome was the number of correct answers. Secondary outcomes were the time taken to answer the questions and differences in number of correct answers by pharmacy student year and institution.Results:The analysis included 162 participants: 52 students in the Micromedex group, 51 students in the Watson group, and 59 students in the Google group. There was a significant difference among groups in the total number of questions answered correctly (p=0.02). Post-hoc analysis revealed that participants in the Micromedex group answered more questions correctly than those in the Google group (p=0.015). There were no significant differences between Micromedex and Watson groups (p=0.52) or between Watson and Google groups (p=0.22). There was also no difference in time to complete the questions among groups (p=0.72).Conclusion:Utilizing Google did not save students time and led to more incorrect answers. These findings suggest that health care educators and health sciences librarians should further reinforce training on the appropriate use of drug information resources. 相似文献
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Carmen Cole Angela R. Davis Vanessa Eyer John J. Meier 《The Journal of Academic Librarianship》2018,44(3):419-425
In 2008 Meier and Conkling first tested Google Scholar's coverage of the engineering literature against citations gathered from the Compendex database. Since that time, other studies have used the same methodology and found improvement in Google Scholar's coverage. This study uses engineering dissertations from Proquest Dissertations & Theses to create a data set of citations for the comparison of fee-based databases, Compendex and Scopus, against Google Scholar. From 1950 to 2017 Google Scholar outperformed both Compendex and Scopus in discoverability of citations in nine engineering subjects. These results have implications for collection management and information literacy program planning for librarians. 相似文献
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This paper provides a ranking of 69 marketing journals using a new Hirsch-type index, the hg-index which is the geometric mean of hg. The applicability of this index is tested on data retrieved from Google Scholar on marketing journal articles published between 2003 and 2007. The authors investigate the relationship between the hg-ranking, ranking implied by Thomson Reuters’ Journal Impact Factor for 2008, and rankings in previous citation-based studies of marketing journals. They also test two models of consumption of marketing journals that take into account measures of citing (based on the hg-index), prestige, and reading preference. 相似文献
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首先阐述在数字科研时代,在学术交流渠道多元化、网络化的环境下,谷歌学术搜索(Google Scholar)可作为计算机科学领域引文分析的数据源的原因。然后,对目前自动化地采集Google Scholar的引文数据的现状进行概述;进而以统计图灵奖获得者所发表论文的年度引文频次为例,着重阐述如何利用Google Scholar引擎的引文搜索功能设计相关程序,实现对论文各年度被引频次的自动统计;最后,将该方法与Web of Science进行比较,并对实现过程中遇到的问题进行总结。 相似文献