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1.
V. M. Moscovkin 《Scientific and Technical Information Processing》2010,37(1):49-54
This paper gives the webometric estimate of the functioning of the universities included in the Near-Frontier Belarusan-Russian-Ukrainian
University Consortium (in the context of the adoption of the Belgorod Declaration on open access to scientific knowledge and
our cultural heritage) during 2008–2009 on the basis of the Spanish webometric university ranking and the potential of the
Google Scholar search engine. The classification of the universities of the Near-Frontier Belarusan-Russian-Ukrainian University
Consortium has been built according to the degree of publication activities. The influence of the Belgorod Declaration on
university publication activities was shown. 相似文献
2.
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
3.
Google Scholar Beta检索性能的初步分析 总被引：6，自引：1，他引：6
利用多个医学提问，通过对Google Scholar Beta、PubMed、ISI Science Citation Index Expanded、CrossRef Search、Scirus等工具检索结果的对比，分析 Google Scholar Beta 测试版搜索引擎在学术信息检索中的性能表现，特别是检索的查全率、结果的相关性、文献被引用检索等方面的性能，指出其存在的不足，并对该搜索引擎对图书馆跨库查询方案的影响进行初步探讨。 相似文献
4.
Rebecca B. French 《Journal of Web Librarianship》2019,13(2):156-197
Information about faculty and their publications can be found in library databases such as the Library of Congress Name Authority File, VIAF, WorldCat, and institutional repositories; in identifier registries such as ORCID and ISNI; and on academic social networking sites such as Academia, Google Scholar, and ResearchGate, but the way search engines use such identifiers and profiles is unclear. Therefore, researchers at a large comprehensive university conducted several rounds of web searching before and after the creation and modification of faculty authority records. The sample consisted of 24 faculty and the 35 publications associated with their authorities. The researchers searched for the faculty and their publications on the social networking and identity websites directly, and then used Google, Bing, and Google Scholar to record which of the faculty members’ profiles and publications were found within the top 50 results. Faculty with more profiles were more visible in search engine results, and faculty with authority records ranked more highly in Google. Results related to publication discovery and ranking were more inconclusive, but revealed clear differences between search tools. The implications of this exploratory research can support educational efforts about academic identities and scholarly profiles, begin a research agenda, and inform methodological development surrounding the influence of identity records and academic social networking profiles on web visibility. 相似文献
5.
Google Scholar的利用与评价 总被引：5，自引：0，他引：5
Google Scho1ar是一项具有开创性的互联网学术文献搜索服务。介绍了其概况、使用方法及用途，并对其进行了简要的评价。强调中国学者应早日了解并充分利用这一重要工具，为学术工作及研究服务。 相似文献
6.
直接满足中文用户科研文献需求的网络搜索工具——Google Scholar初探 总被引：5，自引：0，他引：5
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
7.
CiteSeerX的兴起与开放获取、电子科研和引文标引系统有着直接的关系。文章通过分析CiteSeerX的搜索原理和重要功能,与同为学术搜索引擎的GoogleScholar进行对比,明确其优势所在,指出它的不足,给出相关改进建议。 相似文献
8.
V. M. Moskovkin 《Scientific and Technical Information Processing》2013,40(1):11-16
A methodology for constructing academic terminological and publishing structures using the Google Scholar search engine is presented. These structures are formed for the classical universities of Kharkiv and Skopje based on the example of basic environmental terms of a general nature that are distinguished in English-language publications. The environmental theme is more actively studied at Kharkiv National University. The first publications produced by the researchers of this university in the considered area of science were written in the early 1980s. An analysis of the most-frequently cited publications that contain the selected environmental terms shows that such publications are often a result of the work of an international team of authors. This is of great importance for the development of journal strategies and policies. By using Google Scholar, one can find significantly more publications on the website of Kharkiv University compared to that of the University of Skopje, due to the electronic open access archive system of publications at Kharkiv University. The frequency of occurrence for publications that contain selected environmental terms is higher in the case of the University of Skopje due to the fact that the publications of this university are poorly represented on the web and also because of their predominantly English-language character. 相似文献
9.
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
10.
Jeffrey Beall 《期刊图书馆员》2013,64(1):40-53
This article critically examines four Google search products (Google Advanced Search, Google News Advanced Search, Google Books Advanced Search, and Google Advanced Scholar Search) and shows how each uses metadata to enhance or improve search results. In addition, the article shows how metadata can increase search precision and recall in information discovery systems. From a library perspective, this article analyzes some of the metadata-enabled features of Google's advanced search pages and compares these features to those found in a typical online library catalog. From a serials perspective, Google News Advanced Search demonstrates how Google indexes news websites, sites that are essentially continuing resources. As Google incorporates more and more metadata functionality into its advanced search pages, they increasingly begin to function more like online library catalogs and less like search pages found in a traditional Internet search engine. The simple search box has many limitations, and like libraries, Google is increasingly creating and offering metadata-enabled search features that improve search precision and recall in its products. 相似文献
11.
《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
12.
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
13.
Charlie Potter 《图书馆管理杂志》2013,53(1-2):5-28
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
14.
A qualitative study of the impact of electronic journals on the information behavior of academic researchers at Catalan universities shows that academic researchers now read more, and more widely. However, their reading is becoming more superficial; they are compelled to improve their discrimination skills in order to decide what to read in more depth. The electronic accessibility of journals means that researchers now make fewer library visits. Web browsing and table of contents (TOC) e-mail alerts are replacing physical browsing, and searching is a very popular option for keeping up to date with developments. Internet search engines, especially Google and Google Scholar, are becoming important sources of information for researchers. However, they face problems in managing their personal scientific information. 相似文献
15.
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16.
数字科研时代的引文分析-基于被引频次分析的实证研究 总被引：3，自引：0，他引：3
从期刊被引频次的角度出发,采取实证研究的方法,选择国际权威的引文数据库Web of Science和著名的搜索引擎GoogleScholar,以《美国信息科学和技术学会杂志》为文献源进行相关分析,得出在数字科研时代引文分析有必要采取多个引文分析工具,使得引文分析能跟上时代发展步伐的结论。 相似文献
17.
Mike Thelwall 《Journal of Informetrics》2018,12(1):1-9
Microsoft Academic is a free academic search engine and citation index that is similar to Google Scholar but can be automatically queried. Its data is potentially useful for bibliometric analysis if it is possible to search effectively for individual journal articles. This article compares different methods to find journal articles in its index by searching for a combination of title, authors, publication year and journal name and uses the results for the widest published correlation analysis of Microsoft Academic citation counts for journal articles so far. Based on 126,312 articles from 323 Scopus subfields in 2012, the optimal strategy to find articles with DOIs is to search for them by title and filter out those with incorrect DOIs. This finds 90% of journal articles. For articles without DOIs, the optimal strategy is to search for them by title and then filter out matches with dissimilar metadata. This finds 89% of journal articles, with an additional 1% incorrect matches. The remaining articles seem to be mainly not indexed by Microsoft Academic or indexed with a different language version of their title. From the matches, Scopus citation counts and Microsoft Academic counts have an average Spearman correlation of 0.95, with the lowest for any single field being 0.63. Thus, Microsoft Academic citation counts are almost universally equivalent to Scopus citation counts for articles that are not recent but there are national biases in the results. 相似文献
18.
Allison Campbell Brian Taylor Una O'Connor-Bones 《New Review of Academic Librarianship》2018,24(1):1-22
The article reports on a systematic method of undertaking a literature search on the educational impact of being a young carer (16–24 years old). The search methodology applied and described in detail will be of value to academic librarians and to other education researchers who undertake systematic literature searches. Seven bibliographic databases and Google Scholar were searched between November 2015 and January 2016. Two and three concept search structures were compared, involving 28 search terms plus truncation variants. One hundred and eighty-one relevant articles were retrieved. Sensitivity, precision, and “unique articles retrieved” were used as metrics. Social Care Online and Google Scholar had the greatest sensitivity. As well as meticulous use of AND, OR, and bracket operators, the use of NEAR and NOT operators to increase precision were tested and are recommended as useful tools for conducting systematic searches. 相似文献
19.
The literature shows that students are more likely to begin their search via Google, as it is perceived to be easier and more accessible than other databases or publisher platforms. The invisible web, specifically publisher platforms, is sometimes too difficult for students to access; there are also suggestions that Google Scholar in particular may outperform other paid-for databases. The ease of access and the somewhat misguided notion that Google Scholar has more reliable information than that provided by libraries makes search engines all the more attractive. This culture of searching using a single search box is reflected in the increase in the number of libraries opting for single resource discovery systems such as Summon or Primo, which use a single search covering all the library holdings. The findings suggest that whilst Google Scholar can perform well in some circumstances, it performed only moderately well when compared with LISTA and Summon – the single resource discovery system tested. It was the least successful resource in terms of precision when compared with LISTA, Summon, Emerald and Sage. However, the simplicity of search engines begs the question: will databases and publisher platforms become obsolete? The study concludes that subject specific databases are more effective than search engines, but the complexity of accessing the invisible web is hindering their popularity. 相似文献
20.
William H. Walters 《The Reference Librarian》2013,54(1):13-22
This guide describes several information sources that can be used to assist faculty interested in quantitative and qualitative assessments of journal reputation and scholarly impact: Journal Citation Reports, Eigenfactor, Google Scholar Metrics, Elsevier Journal Metrics, Excellence in Research for Australia, Cabell’s International, Web of Science, Scopus, Google Scholar, and Beall’s List. It also introduces the indicators most often used to represent citation impact: impact factor, article influence score, eigenfactor, h5-index, source normalized impact per paper, impact per publication, and SCImago journal rank. Methods of assessing the influence of individual articles are also presented, along with strategies for the identification of predatory or low-quality journals. 相似文献