共查询到19条相似文献，搜索用时 171 毫秒
1.
网络引文是近年来图书情报专业的一个研究方向,网络引文基于传统引文的概念被提出,而与传统引文有很大的不同.选取Web of Science,CiteSeerx,Google Scholar及Google 4种网络引文检索工具,对其功能、原理、特征、适用引文类型进行比较分析,并对未来网络引文的发展提出一种简单的假设模型. 相似文献
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本文通过利用Google Scholar、EI和SCIE的作者检索功能,对这3种检索工具的检索结果进行了比较分析。研究表明Google Scholar是比较权威和全面的免费学术检索工具,但Google Scholar在中文学术文献检索中文献重复率高达2837%,且由于来源数据库的局限,文献的漏检现象比较严重。 相似文献
3.
Google Scholar的数据整合研究 总被引：1，自引：0，他引：1
Google Scholar对各种学术资源数据库进行了有效而全面的集成,通过同一界面简单查询可以得到不同语种、各种来源的文献。本文通过实例对Google Scholar整合的数据进行研究,结果显示整合的中文数据主要来自维普与万方期刊,英文数据来源广泛。通过比较4个专利平台和几个常用全文数据库,Google Scholar对美国专利和全文数据库都有很好的覆盖率。本文还讨论了Google Scholar对于相同文献不同来源的数据处理。 相似文献
4.
Google Scholar集成了多个中英文学术文献数据库,能够更客观地反映文献的被引情况,因此已逐渐成为国内外流行的学术文献搜索平台。本文以Google Scholar为文献来源,对我国CSSCI中排名靠前的6种图书馆学情报学期刊5年来的学术影响力进行了比较分析。主要考查了每一年中各个期刊的总引用次数、篇均引用次数、h指数以及g指数。基于计算机软件工具和统计结果,分析了6种期刊5年来的学术影响力,并对它们的未来学术影响力趋势进行了分析。 相似文献
5.
GoogleSchohr是Google推出的专门面向学术资源的免费搜索工具,对于我国学者来说是获取外文期刊文献重要途径.本文是对Google Scholar进行介绍,并详细解释其用法. 相似文献
6.
Google Scholar是一种重要的检索工具。作者从应用角度中抽样统计并分析了这种工具的一些不足,包括对谷歌学术的自动检索式扩展,专利检索,引用功能3个方面,在统计结果分析中可能对用户产生误导的地方。 相似文献
7.
Google Schdar一经推出．立即就受到用户青睐，获得市场巨大成功。本文从Google Scholar网站市场定位、资源优势、检索功能和学术价值四个方面分析了其成功因素。对于人们正确认识和使用Coode Scholar具有重大意义。 相似文献
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高彧 《内蒙古科技与经济》2010,(17):143-143,145
文章对Google Scholar与Scirus两个专业学术搜索引擎的资源覆盖、检索技术、检索界面、检索结果等方面进行了比较分析。 相似文献
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10.
Google Scholar和跨库检索系统都是对大量的异构学术资源提供一个统一的检索界面，为用户提供“一站式”服务。本文首先对跨库检索系统及Google Scholar的检索方式及检索性能进行了介绍及分析，其次对二者从检索策略、检索界面、检索速度等方面进行了比较，最后对二者在学术资源检索中的使用进行了分析。 相似文献
11.
从深度利用数据资源和助力科研的角度,对比分析Web of Science和Google Scholar在化学领域中的性能差异。通过对比分析,从检索性能、分析性能、覆盖能力、引文跟踪、定题跟踪等方面进行比较和案例分析。发现Web of Science在化学领域具有权威性、稳定性、功能性等优势,其专业性能尚未充分利用。指出图书馆深入挖掘数据资源实用价值,提出从检索到发现的服务思路,推动技能服务和分析服务的双向服务模式。 相似文献
12.
《Information processing & management》2020,57(5):102267
Merging the citation counts of arXiv-deposited e-prints (arXiv version) with those of their corresponding published journal articles (publisher version) is an important issue in citation analysis. Using examples of arXiv-deposited e-prints, this article adopts a manual approach to investigate the processing methods used by bibliographic repositories such as Google Scholar, Web of Science, Scopus, Astrophysics Data System (ADS), and INSPIRE for the citation merging. Both Google Scholar and ADS consolidate all citations from the two versions into the publisher one, whereas the consolidated citations are accumulated into the arXiv version in the INSPIRE repository. All these methods ignore the categories of the arXiv-deposited versions and the corresponding availability dates. As for Web of Science and Scopus, they count the citations of the two versions separately, which is likely regarding them as two independent articles. Focusing on journal articles that also appeared as arXiv e-prints, we classify them into two categories and identify two public availability dates of articles as the starting point of citation statistics. We present four feasible schemes to consolidate citation counts for the articles with both versions and also propose a universal scheme based on the research output. Furthermore, we investigated 2,662 e-prints in the “Computer Science - Digital Libraries” subject (cs.DL) from 1998 to 2018 in arXiv.org and manually calculated the consolidated citation counts of arXiv-deposited articles with the corresponding citation merging schemes. Furthermore, these citation consolidation methods are applied to the evaluation of articles, authors, and journals. Such empirical testing proves the feasibility of the schemes proposed in this article. 相似文献
13.
An ego-centric citation analysis of the works of Michael O. Rabin based on multiple citation indexes 总被引：2，自引：0，他引：2
The primary goal of this study was to carry out an ego-centric citation and reference analysis of the works of the mathematician and computer scientist, Michael O. Rabin. Until recently only a single citation database was available for such research – the ISI Citation Indexes. In this study we utilized and compared three major sources that provide citation data: the Web of Science, Google Scholar and Citeseer. Most cited works, citation identity, citation image makers and coauthors were identified. The citation image makers acquired through these sources differ considerably. Advantages and shortcomings of each of the tools are discussed in the context of computer science. A major issue in computer science is multiple manifestations of a work, i.e., its publication in several venues (technical reports, proceedings, journals, collections). The implications of multiple manifestations for citation analysis are discussed. 相似文献
14.
《International Journal of Information Management》2014,34(2):257-271
Bibliometrics and citation analysis have become important sets of methods for library and information science, as well as exceptional sources of information and knowledge for many other areas. Their main sources are citation indices, which are bibliographic databases like Web of Science, Scopus, Google Scholar, etc. However, bibliographical databases lack perfection and standardization. There are several software tools that perform useful information management and bibliometric analysis importing data from them. A comparison has been carried out to identify which of them perform certain pre-processing tasks. Usually, they are not strong enough to detect all the duplications, mistakes, misspellings and variant names, leaving to the user the tedious and time-consuming task of correcting the data. Furthermore, some of them do not import datasets from different citation indices, but mainly from Web of Science (WoS).A new software tool, called STICCI.eu (Software Tool for Improving and Converting Citation Indices – enhancing uniformity), which is freely available online, has been created to solve these problems. STICCI.eu is able to do conversions between bibliographical citation formats (WoS, Scopus, CSV, BibTex, RIS), correct the usual mistakes appearing in those databases, detect duplications, misspellings, etc., identify and transform the full or abbreviated titles of the journals, homogenize toponymical names of countries and relevant cities or regions and list the processed data in terms of the most cited authors, journals, references, etc. 相似文献
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以Web of Science为文献源,采用文献计量学与信息可视化技术相结合的方法,借助可视化分析软件CiteSpace Ⅱ,针对2004年至今的以Google Scholar为研究主题的文献,从文献量、作者、期刊、重要文献和研究主题等方面进行分析,以揭示Google Scholar的研究现状。 相似文献
16.
This paper considers the use of the h-index as a measure of a journal’s research quality and contribution. We study a sample of 455 journals in business and management all of which are included in the ISI Web of Science (WoS) and the Association of Business School’s peer review journal ranking list. The h-index is compared with both the traditional impact factors, and with the peer review judgements. We also consider two sources of citation data – the WoS itself and Google Scholar. The conclusions are that the h-index is preferable to the impact factor for a variety of reasons, especially the selective coverage of the impact factor and the fact that it disadvantages journals that publish many papers. Google Scholar is also preferred to WoS as a data source. However, the paper notes that it is not sufficient to use any single metric to properly evaluate research achievements. 相似文献
17.
以Web of Science数据库为文献来源,应用Web of Science平台自带的分析工具和Histcite引文网络分析工具,通过文献检索、结果分析等方式,得出"雾霾"这一研究课题的发展脉络及发展态势,并通过两种引文分析工具之间不同的计量指标所展现的学科发展现象和统计结果的差异,进而得出在进行学科发展态势研究时,应该将这两个引文分析工具进行有机的结合,使得这两者互为补充,充分发挥各自的作用,更好地研究和分析学科引文脉络,使得统计结果更为全面、准确,为学科领域发展态势的研究提供有力的支撑。 相似文献
18.
Allan J.C. Silva Marcos André Gonçalves Alberto H.F. Laender Marco A.B. Modesto Marco Cristo Nivio Ziviani 《Information processing & management》2009
This article proposes a process to retrieve the URL of a document for which metadata records exist in a digital library catalog but a pointer to the full text of the document is not available. The process uses results from queries submitted to Web search engines for finding the URL of the corresponding full text or any related material. We present a comprehensive study of this process in different situations by investigating different query strategies applied to three general purpose search engines (Google, Yahoo!, MSN) and two specialized ones (Scholar and CiteSeer), considering five user scenarios. Specifically, we have conducted experiments with metadata records taken from the Brazilian Digital Library of Computing (BDBComp) and The DBLP Computer Science Bibliography (DBLP). We found that Scholar was the most effective search engine for this task in all considered scenarios and that simple strategies for combining and re-ranking results from Scholar and Google significantly improve the retrieval quality. Moreover, we study the influence of the number of query results on the effectiveness of finding missing information as well as the coverage of the proposed scenarios. 相似文献
19.
选择1999年、2004年和2009年社会科学学科中的情报学、历史学、新闻学、教育学和社会学的一种核心期刊中全部论文作为统计样本,对其网络引文的总体发展状况、网络引文语种和网络域名的引用情况等进行统计分析,以此对我国社会科学研究中对网络学术信息资源利用情况进行探讨。初步的结论是：社会科学网络引文率逐渐增长,情报学网络引文量最高,教育学、新闻学和社会学网络引文量较高,历史学网络引文量最低。 相似文献