共查询到20条相似文献，搜索用时 250 毫秒
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从文献计量学到网络计量学 总被引：1，自引：0，他引：1
从1958年以来,不知不觉中文献计量学已经发生了根本的变化:它独立成为一个学科,在图书馆和信息科学学院中被广泛教授,并成为世界各地科学评价研究组的核心研究内容。这些都因为尤金.加菲尔德的研究成果和他的科学引文索引而变得可能。本文回顾了文献计量学从1958年到现在的发展历程,对比了早期的文献计量学和它的当前研究内容,综述了一大批最新的研究方向和进展。比如专利分析、国家科研评价实践、新型可视化技术、创新应用、新在线引文索引以及数字图书馆创建相关的发展过程等。还对网络计量学,一门现代迅速发展的文献计量学的分支进行详细的评述。最后,对文献计量学和网络计量学的未来发展趋势也进行了探讨。 相似文献
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网络信息计量学的应用研究 总被引：2，自引：0，他引：2
对网络信息计量学的应用问题进行系统研究：从总体上对当前网络信息计量学的应用研究情况进行分析,总结主要的研究成果,指出其中存在的主要问题,并重点深入探讨其在“网络信息资源管理”和“科学评价”这两个关键领域中应用的基本问题。 相似文献
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文献计量学方法在网络计量学应用中的局限性 总被引：6，自引：0，他引：6
网络计量学是在文献计量学的基础上随着网络技术的发展而产生的一门新兴的边缘学科,目前在我国还处于试验和探索的阶段。文章对文献计量学研究方法在网络计量学应用当中的局限性进行了分析,阐述了加强网络计量学理论研究的重要性。 相似文献
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网络计量学方法在网站评价中的应用及其理论模型 总被引：6，自引：0，他引：6
文章回顾了网络计量学的产生和发展，并根据目前的研究状况，将网络计量学的研究方法划分为数据收集方法、数据分析方法和数据评价方法三种。在分析和讨论前人关于网络计量学在网站评价中应用的基础上，建立了基于网络计量学的网站评价理论模型。 相似文献
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网络信息计量学研究方法在网络信息计量学学科体系中具有基础地位。网络信息计量学方法主要来源于3个学科领域,即信息计量学、文献计量学和科学计量学方法;数字统计学方法以及网络技术和软件技术。提出由理论研究方法、数据收集方法和结果展现方法构成的网络信息计量学研究方法的三维框架,以促进网络信息计量学科的学科范式的形成。图1。表1。参考文献15。 相似文献
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对国外研究网络信息计量学文献的定量分析 总被引：7，自引：2，他引：5
从文献量、地区和机构、著者、期刊、研究主题等角度,对1996年以来国外关于网络信息计量学的75篇研究文献进行归类统计和分析,指出网络信息计量学研究虽处在探索阶段,但其对网络信息资源的测度与评价,对加强和改善网络的科学化与规范化管理有着重要意义。 相似文献
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科学计量学主流研究领域与热点前沿研究 总被引：2，自引：0，他引：2
[目的/意义]基于对《科学计量学》杂志的研究与回顾,找出科学计量学领域进入发展时期后的主流研究领域和热点前沿,探究其演进脉络,并绘制可视化的知识图谱。[方法/过程]借助Bibexcel与SPSS软件,通过共引分析与因子分析法,得出科学计量学在各发展阶段的主流研究领域;通过共词分析法,利用CiteSpace II软件,对科学计量学3个阶段的研究热点与前沿分别进行识别与可视化。[结果/结论]引文分析、科学合作、科研评价一直是科学计量学在发展时期的主流研究领域,科学计量学的研究对象不断扩充,研究方法不断完善,并逐渐引入社会网络分析等其他学科方法;随着发展阶段的推移,研究热点与前沿的网络密度不断提高,研究前沿动态转变过程中的转折点也不断增加,科学计量学领域的研究更加丰富和深入。创新性地对科学计量学的主流研究领域和热点前沿进行分阶段分析,可以更清晰地展示出发展时期科学计量学的演进脉络。 相似文献
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黄芳 《中华医学图书馆杂志》2014,(7):15-20
补充计量学是一种基于社交网络的计量指标,可作为文献计量学的补充,对学术论文进行评价.本文介绍了补充计量学的定义、特点与常用工具,提出了补充计量学在生物医学信息计量学研究中的作用. 相似文献
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Altmetrics have been proposed as a way to assess the societal impact of research. Although altmetrics are already in use as impact or attention metrics in different contexts, it is still not clear whether they really capture or reflect societal impact. This study is based on altmetrics, citation counts, research output and case study data from the UK Research Excellence Framework (REF), and peers’ REF assessments of research output and societal impact. We investigated the convergent validity of altmetrics by using two REF datasets: publications submitted as research output (PRO) to the REF and publications referenced in case studies (PCS). Case studies, which are intended to demonstrate societal impact, should cite the most relevant research papers. We used the MHq’ indicator for assessing impact – an indicator which has been introduced for count data with many zeros. The results of the first part of the analysis show that news media as well as mentions on Facebook, in blogs, in Wikipedia, and in policy-related documents have higher MHq’ values for PCS than for PRO. Thus, the altmetric indicators seem to have convergent validity for these data. In the second part of the analysis, altmetrics have been correlated with REF reviewers’ average scores on PCS. The negative or close to zero correlations question the convergent validity of altmetrics in that context. We suggest that they may capture a different aspect of societal impact (which can be called unknown attention) to that seen by reviewers (who are interested in the causal link between research and action in society). 相似文献
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New types of calculation methodologies, called altmetrics, which is short for alternative metrics, are increasingly being used to measure and analyze the scholarly communication networks of researchers, librarians, publishers, and funding organizations. By applying altmetrics to emergent online forums like Twitter, Academia.edu, Mendeley, and ResearchGate, studies have shown that early measures of social attention to a work or body of work can be correlated with later usage and citation statistics to predict the diffusion and impact of research output. However, standards for altmetrics are needed to build confidence and trust among the information community. 相似文献
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论述我国科学家科学交流的落后状态及其主要原因,阐述替代计量学的生态体系,据此构建在线科学交流新模式,详细论述其传递机制和过滤机制,进而刻画基于替代计量学的在线科学交流过程,揭示这种新模式能消除之前在线科学交流之障碍的机理。 相似文献
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《Journal of Informetrics》2014,8(4):895-903
Today, it is not clear how the impact of research on other areas of society than science should be measured. While peer review and bibliometrics have become standard methods for measuring the impact of research in science, there is not yet an accepted framework within which to measure societal impact. Alternative metrics (called altmetrics to distinguish them from bibliometrics) are considered an interesting option for assessing the societal impact of research, as they offer new ways to measure (public) engagement with research output. Altmetrics is a term to describe web-based metrics for the impact of publications and other scholarly material by using data from social media platforms (e.g. Twitter or Mendeley). This overview of studies explores the potential of altmetrics for measuring societal impact. It deals with the definition and classification of altmetrics. Furthermore, their benefits and disadvantages for measuring impact are discussed. 相似文献
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[目的/意义]引介国外近期关于altmetrics的理论思想和研究共识,以期对我国的altmetrics研究带来启示。[方法/过程]采取多种信息检索方法,如网络检索、博客跟踪、浏览会议网站的方法,查找国内外相关信息,考察altmetrics的早期理论假说、术语提出的方式和过程;引介和分析国外专家的研究共识;研究我国相关的期刊论文和博客文章,总结国内altmetrics的研究现状与问题。[结果/结论]研究发现,国外专家普遍认为altmetrics是对传统引文方法的补充,而不是替代;altmetrics测量的是科学研究的关注度和影响力,而不一定是科学研究的质量;altmetrics应该重新命名为"alternative indicators";传统引文评价方法存在的引文动机、发表时间、学科和地域差异等问题在altmetrics评价中仍然存在。因此,在用altmetrics指标进行评价的过程中,不能仅观察altmetrics应用工具提供的数字,还要考察数据源的类型、具体评价内容,最后通过定量和定性评价方法相结合做出正确的判断。我国altmetrics的相关研究虽然发展迅速,但与国际研究水平仍有较大差距。 相似文献
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Twitter altmetrics has been proposed to measure the popularity and the potential societal impact of scientific products, but scientific tweeters who produce the Twitter altmetrics data have not been well explored. The study, by analyzing 2.63 million scientific tweeters’ data that are extracted from the Altmetric.com company dataset, is aimed to reveal their productivity and geographic distribution in a comprehensive way. To gain a more in-depth understanding of their account types and identities, 1468 scientific tweeters of different levels of activeness are sampled for further analysis. Our results show that: (1) The extent to which a small proportion of tweeters have posted most of scientific tweets increases over time. In 2016, 10% of scientific tweeters have posted 80% of scientific tweets; (2) Scientific tweeters are widely distributed around the world but in a different pattern with the distribution of general Twitter users. In addition, scientific tweeters are found to be more active in tweeting scientific products than retweeting them in certain areas. (3) Manual coding of the sampled tweeters shows that the percentage of bot accounts among scientific tweeters is 1.8%, which is much lower than that among general Twitter users. Moreover, 73% of scientific tweeters use Twitter for professional purpose, 76% use real names for their accounts, and 16% are institutional accounts. (4) Identities of scientific tweeters are diversified. 49% of them are researchers among which university faculty is the major type, and 38% of them are the general public. With these results we suggest number of scientific tweets is not a good indicator of measuring either popularity or impact, tweeter’s productivity, location and identities must be taken into consideration in interpreting the meaning of Twitter altmetrics. 相似文献
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[目的/意义]探讨影响altmetrics覆盖率的因素,为altmetrics在学术评价中的合理使用奠定基础。[方法/过程]基于Web of Science、Altmetric.com以及Mendeley,以5个学科1996-2015年间发表的所有期刊论文为分析对象,探讨学科领域、出版年份、来源期刊、国别、语种5个因素对altmetrics覆盖率的影响。[结果/结论]不同altmetrics指标的覆盖率不同,Mendeley覆盖率最高,Twitter其次,而大多数指标覆盖率很低;在将altmetrics应用于期刊评价时,有必要合理鉴别和排除期刊推广策略导致的高覆盖率现象;以上5个因素均会导致期刊论文的altmetrics覆盖率差异,因此在应用altmetrics时,需要考虑到被评价对象的属性特征,必要时考虑altmetrics在这些影响因素上的标准化。 相似文献
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[目的/意义]分析当前机构知识库中引入Altmetrics的主要模式和需要考虑的问题,为机构知识库引入Altmetrics的实践提供参考。[方法/过程]采用比较分析和案例分析方法,通过对香港大学学术库、匹兹堡大学机构知识库引入Altmetrics的具体实践进行分析,归纳机构知识库引入Altmetrics的模式以及各模式的特征和适用情形。[结果/结论]机构知识库引入Altmetrics有3种模式:嵌入式,直接嵌入已有altmetrics应用或代码;集成式,在机构知识库平台中集成altmetrics应用与数据;共享式,商业altmetrics平台与机构知识库共享对象元数据。机构知识库引入Altmetrics是机构知识库发展的趋势,模式二和模式三有融合的趋向。当前机构知识库引入Altmetrics时最重要的问题是在元数据结构层面要设计覆盖机构知识生产全过程的对象元数据结构。 相似文献
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Recently, two new indicators (Equalized Mean-based Normalized Proportion Cited, EMNPC; Mean-based Normalized Proportion Cited, MNPC) were proposed which are intended for sparse scientometrics data, e.g., alternative metrics (altmetrics). The indicators compare the proportion of mentioned papers (e.g. on Facebook) of a unit (e.g., a researcher or institution) with the proportion of mentioned papers in the corresponding fields and publication years (the expected values). In this study, we propose a third indicator (Mantel-Haenszel quotient, MHq) belonging to the same indicator family. The MHq is based on the MH analysis – an established method in statistics for the comparison of proportions. We test (using citations and assessments by peers, i.e. F1000Prime recommendations) if the three indicators can distinguish between different quality levels as defined on the basis of the assessments by peers. Thus, we test their convergent validity. We find that the indicator MHq is able to distinguish between the quality levels in most cases while MNPC and EMNPC are not. Since the MHq is shown in this study to be a valid indicator, we apply it to six types of zero-inflated altmetrics data and test whether different altmetrics sources are related to quality. The results for the various altmetrics demonstrate that the relationship between altmetrics (Wikipedia, Facebook, blogs, and news data) and assessments by peers is not as strong as the relationship between citations and assessments by peers. Actually, the relationship between citations and peer assessments is about two to three times stronger than the association between altmetrics and assessments by peers. 相似文献
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[目的/意义]altmetrics指标是对传统文献计量指标的有力补充。随着altmetrics研究的发展,国际上许多机构知识库已经应用相关工具,取得了一定的效果。那么,altmetrics工具在我国机构知识库中的应用是否必要和可行是一个现阶段极受关注的问题。[方法/过程]在altmetrics应用背景扫描和可行性分析基础上,分别从应用工具的选择、嵌入步骤和插件类型等方面梳理altmetrics工具在机构知识库中应用的相关问题;总结国外基金、科研、医院和高校等机构在整合altmetrics工具后取得的实际效果。[结果/结论]研究发现,在我国已建立的机构知识库中嵌入PlumX插件是一个十分切实可行的方法。国外的PlumX相关实践已显示出6个方面的成效:可视化展示基金投入的产出情况;帮助年轻的科研人员展示成果影响力;基于学术交流指标预测引文影响力;激励科研成果的缴存,提供重要的决策支持信息;更好地满足对小学科小专业科研成果评价的需要;提升机构成果的国际可见度和同行认可度。 相似文献