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《Journal of Informetrics》2020,14(2):101017
In this study, we investigate the extent to which patent citations to papers can serve as early signs for predicting delayed recognized knowledge in science using a comparative study with a control group, i.e., instant recognition papers. We identify the two opposite groups of papers by the Bcp measure, a parameter-free index for identifying papers which were recognized with delay. We provide a macro (Science/Nature papers dataset) and micro (a case chosen from the dataset) evidence on paper-patent citation linkages as early signs for predicting delayed recognized knowledge in science. It appears that papers with delayed recognition show a stronger and longer technical impact than instant recognition papers. We provide indication that in the more recent years papers with delayed recognition are awakened more often and earlier by a patent rather than by a scientific paper (also called “prince”). We also found that patent citations seem to play an important role to avoid instant recognition papers to level off or to become a so called “flash in the pan”, i.e., instant recognition. It also appears that the sleeping beauties may firstly encounter negative citations and then patent citations and finally get widely recognized. In contrast to the two focused fields (biology and chemistry) for instant recognition papers, delayed recognition papers are rather evenly distributed in biology, chemistry, psychology, geology, materials science, and physics. We discovered several pairs of “science sleeping”-“technology inducing”, such as “biology-biotechnology/pharmaceuticals”, “chemistry-chemical engineering”, as well as some trans-fields science-technology interactions, such as “psychology - computer technology/control technology/audio-visual technology”, “physics - computer technology”, and “mathematics-computer technology”. We propose in further research to discover the potential ahead of time and transformative research by using citation delay analysis, patent & NPL analysis, and citation context analysis. 相似文献
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《Journal of Informetrics》2022,16(3):101310
As science is becoming more interdisciplinary and potentially more data driven over time, it is important to investigate the changing specialty structures and the emerging intellectual patterns of research fields and domains. By employing a clustering-based network approach, we map the contours of a novel interdisciplinary domain – research using social media data – and analyze how the specialty structures and intellectual contributions are organized and evolve. We construct and validate a large-scale (N = 12,732) dataset of research papers using social media data from the Web of Science (WoS) database, complementing it with citation relationships from the Microsoft Academic Graph (MAG) database. We conduct cluster analyses in three types of citation-based empirical networks and compare the observed features with those generated by null network models. Overall, we find three core thematic research subfields – interdisciplinary socio-cultural sciences, health sciences, and geo-informatics – that designate the main epicenter of research interests recognized by this domain itself. Nevertheless, at the global topological level of all networks, we observe an increasingly interdisciplinary trend over the years, fueled by publications not only from core fields such as communication and computer science, but also from a wide variety of fields in the social sciences, natural sciences, and technology. Our results characterize the specialty structures of this domain at a time of growing emphasis on big social data, and we discuss the implications for indicating interdisciplinarity. 相似文献
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《Journal of Informetrics》2023,17(4):101450
Although the novelty of scientific publications has been the subject of previous studies, most have examined the distribution of references in the bibliography, which may not be effective in capturing implied scientific knowledge. We propose an analytical framework for measuring the novelty of scientific publications using a paper's title. At the heart of the framework, fastText is used to construct a vector space model in which papers with similar scientific knowledge are located close to each other, and the local outlier factor is used to measure the novelty of scientific knowledge implied in the papers on a numerical scale. The feasibility and validity of the analytical framework were assessed by comparing the average novelty scores of papers recommended with novelty-related tags in Faculty Opinions to those of papers without such tags. This case study of 15,653 papers published in a biomedical journal confirms that our framework is a useful complementary tool for the continuous assessment of the novelty of scientific publications and can serve as a starting point for developing more general models. 相似文献
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《Journal of Informetrics》2022,16(3):101306
Research on the evaluation of the quality of academic papers is attracting more attention from scholars in scientometrics. However, most previous researches have assessed paper quality based on external indicators, such as citations, which failed to account for the content of the research. To that end, this paper proposed a new method for measuring a paper's originality. The method was based on knowledge units in semantic networks, focusing on the relationship and semantic similarity of different knowledge units. Connectivity and path similarity between different content elements were used in particular networks as indicators of originality. This study used papers published between 2014 and 2018 in three categories (i.e. Library & Information Science, Educational Psychology, and Carbon Nanotubes) and divided their content into three parts (i.e. research topics, research methods and research results). It was found that the originality in all categories increase each year. Furthermore, a comparison of our new method with previous models of citation network analysis and knowledge combination analysis showed that our new method is better than those previous methods when used in measuring originality. 相似文献
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[目的/意义] 论文引用专利的“反向引用”也是科学与技术知识关联的重要体现。针对现有“反向引用”研究的不足,分析中国专利技术对世界科学研究的影响。[方法/过程] 搜集整理中国专利被世界科学论文引用的数据,利用文献计量学方法分析“反向引用”的引用频数、技术关联度、引用时滞及技术循环周期等指标,利用社会网络分析方法构建“反向引用”网络,探讨技术领域到科学领域的知识流动情况。[结果/结论] 中国专利技术对世界科学研究的影响力越来越大。科学与技术的双向互动在化学领域体现的最为明显,化学、工程、材料科学三个学科领域较多地吸收了专利知识,技术关联度较高。前1-4年的技术对当前科学影响最大,中国专利被科学文献引用的循环周期较短,平均为4.69年。 相似文献
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从科研合作角度出发,学科知识流动是指科研学者在共同的科研过程中,将相同或不同的学科知识融合、最终产生新知识的过程。基于这一理论,运用科学计量学的方法,设定恰当的计量指标,以药物化学学科为例,以独著论文中的学科知识流动表现为基础,对比分析科研合作视角下的学科知识在学科内与学科外的流动表现及其变化。最后对中国、美国、日本3个国家在此领域中表现出来的学科知识流动差异进行分析,展示各个国家药物化学领域的学科知识流向及其研究动态变化。 相似文献
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[目的/意义]问题和方法是学术论文的重要组成部分。将散落在学术论文中的问题与方法进行有效组织,例如问题与方法识别及其之间的关系抽取,可挖掘学术论文中的隐性知识,促进学科的方法体系和问题体系构建。对学术论文中问题与方法识别及其关系抽取的相关研究工作的梳理,有助于把握该研究的发展趋势、发现该研究中存在的不足,并为未来的工作提供借鉴和指导。[方法/过程]在学术论文的问题和方法的挖掘方面,现有研究围绕4个研究点展开,分别是问题与方法及其关系定义、问题与方法及其关系标注数据集构建、问题与方法识别及其关系抽取的模型设计以及问题与方法及其关系的应用。本文分别对这4个研究点进行梳理,归纳总结现有学术论文中问题和方法知识挖掘的现状。[结果/结论]分析发现,在问题与方法的相关定义中,较少结合科学哲学中的问题学等理论进行定义;在问题与方法数据集构建中,存在数据集重复标注的现象,另外,开源数据集集中在自然科学领域且一般为英语语料,中文开源语料稀缺;在问题与方法识别及其关系抽取中,现有抽取模型性能较低;有关问题和方法的研究不应止步于词语识别和关系抽取,需对挖掘出的知识进行深入分析和应用。 相似文献
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《Journal of Informetrics》2023,17(3):101435
How do scientific knowledge and technological knowledge interact to influence patent inventions? This study combines the “Reliance on Science in Patenting” dataset with the PATSTAT database to investigate focal patents and their paper references and patent references. A temporal investigation shows a growing tendency that patents absorb more knowledge from patents than papers. Additionally, we conduct two sets of analyses, namely, studying the knowledge flow among 35 technology fields and 39 science fields and estimating the impact of cited references on patent impact. The results show that the fields are heterogeneous in absorbing scientific knowledge and technological knowledge. The empirical models indicate that the knowledge depth of both science and technology show an inverted U-shaped relationship with patent impact, while the curve of former is steeper. The knowledge breadth of both science and technology present a U-shaped relationship with patent impact, while the curve of latter is steeper. We also explore the impact of time lags and time spread on citations and estimate their joint effects. Our study provides a new understanding of the convergence of scientific knowledge and technological knowledge to facilitate patent inventions. 相似文献
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《Journal of Informetrics》2014,8(4):863-872
Delayed recognition is a concept applied to articles that receive very few to no citations for a certain period of time following publication, before becoming actively cited. To determine whether such a time spent in relative obscurity had an effect on subsequent citation patterns, we selected articles that received no citations before the passage of ten full years since publication, investigated the subsequent yearly citations received over a period of 37 years and compared them with the citations received by a group of papers without such a latency period. Our study finds that papers with delayed recognition do not exhibit the typical early peak, then slow decline in citations, but that the vast majority enter decline immediately after their first – and often only – citation. Middling papers’ citations remain stable over their lifetime, whereas the more highly cited papers, some of which fall into the “sleeping beauty” subtype, show non-stop growth in citations received. Finally, papers published in different disciplines exhibit similar behavior and did not differ significantly. 相似文献
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论文通过对近12年来CNKI中收录的关于图书馆联盟的研究论文进行较为系统和全面的分析,揭示该主题论文的分布规律,并分析该领域的核心作者群和高产作者群,同时通过被引频次的分析,得出该领域的高被引作者和高被引文章。论文同时还总结归纳了我国图书馆联盟研究论文所取得的成就和不足。 相似文献
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[目的/意义] 学术论文始于问题,探讨学术论文的研究问题,为揭示学术论文的核心内容,实现基于问题的学术论文知识发现提供参考。[方法/过程] 以2015-2020年间图书情报领域CSSCI期刊发表论文为数据源,随机抽取1 000篇论文为样本,利用内容分析法对题录信息进行统计,分析学术论文的研究问题类型、结构,归纳学术论文类型与其包含研究问题类型和数量关系,以及一篇学术论文多个研究问题的关系与结构形态。[结果/结论] 研究发现,不同类型的学术论文包含的研究问题在类型和数量上具有一定的规律性;一篇学术论文通常包含一个以上的研究问题,研究问题个数与问题导向个数具有相关性;一篇学术论文内部研究问题间具有因果、递进等关系,呈现线性、树状、网状的结构形态。 相似文献
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本文从具有重要学术影响论文、关键词、核心作者研究方向三个角度着手对2000—2009年十年间中国知网学术资源总库中档案学的91325篇期刊论文进行分析,总结并说明十年来档案学研究重点问题、核心作者群体和十年档案学研究特点。 相似文献
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本文以ISIWebofScience数据库中收录的以知识共享为主题的文献信息作为数据源,然后运用CiteSpaceⅡ软件绘制了知识共享研究领域的国家或地区分布、机构分布、经典作品和研究热点与前沿的知识图谱,并进行了分析。研究发现,美国、英国、日本、德国和瑞典等在知识共享领域开展了广泛的合作研究,并且产出总量丰富。本文将研究热点与前沿分为知识共享相关的理论研究、技术方法研究和实践应用三个层面的内容。主要包括设计、交流、本体、网络、绩效、隐性知识、实践社区、知识建模、决策支持、人力资源开发、信息可视化、分布式案例推理和Web2．0等。 相似文献
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Claire M. Segijn Shili Xiong Brittany R. L. Duff 《Communication methods and measures》2019,13(2):83-101
Media multitasking has been receiving increased attention from communication scholars as well as scholar in other fields, with studies focusing on the prevalence, predictors, behavior, and effects. Several recent papers have provided overviews of findings from media multitasking research, or provided frameworks to help researchers think about conceptual issues around multitasking. This article expands on those efforts by refining the methodological elements that are important to consider in media multitasking research. We discuss the validity of operationalizations in previous studies, and the impact that design and measures had on the conclusions drawn. In order to do this, we map the different options for manipulating and measuring media multitasking, discuss the implications, and provide guidelines for future research examining media multitasking to help connect disparate findings and provide additional guidance for researchers to move forward with this topic. 相似文献
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国内外生物医学期刊稿件中医学伦理学意识比较 总被引：12，自引：1，他引：11
为了了解近年来我国与西方国家生物医学期刊在医学伦理学方面的意识是否有改善,选取2004和2005年出版的12种国外影响因子大于3的SCI收录期刊与11种中国科学引文数据库(CSCD)核心库收录期刊中刊登的论著进行比较.结果显示,国外医学期刊无论在获得伦理委员会批准还是受试者知情同意方面均好于国内医学期刊,而国内一些医学期刊几乎无医学伦理学意识.认为我国医学期刊应从提高编辑人员素质,重视医学伦理学的宣传教育,不同的稿件应区别对待,完善稿件中的知情同意以及其他医学伦理学问题等几个方面入手,积极改善缺乏医学伦理学意识的现状. 相似文献
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国内知识网络研究的年发文量和学术共同体规模总体上呈增长趋势,期刊分布、机构分布、作者分布均呈现相对集中与高度离散并存的特征,研究热点主要包括知识管理、产业集群、社会网络、知识流动、复杂网络、数字图书馆、知识共享、知识服务、知识转移等;知识网络理论研究重点集中在知识网络的概念、类型、结构、构建方法、形成与演化的动力及机制等方面。 相似文献
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主题词组合新颖性与论文学术影响力的关系研究 总被引：1，自引：0，他引：1
[目的/意义] 研究学术论文内容的组合新颖性与其学术影响力的关系,为研究论文的学术影响力提供新的研究视角。[方法/过程] 采用文本挖掘方法对论文题目、摘要和关键词中的主题词进行提取,通过构建领域主题词共现网络,为每篇论文设计了新颖组合率、中等组合率和常规组合率3个指标,将领域论文划分为不同的新颖性/常规性类型,然后对不同类型论文中高被引论文所占的比例进行统计分析。[结果/结论] 同时具有主题词组合高新颖性和高常规性特点的论文成为高被引论文的几率显著高于其他类型的论文,因此建议研究者在科学研究中应注重新颖知识与常规知识的适当组合。 相似文献
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《Journal of Informetrics》2022,16(2):101287
This paper presents an embracing quantitative inbreeding analyses in the Brazilian higher education system (HES). Several studies were conducted about academic inbreeding in several countries with contradictory results on its effect in research productivity, indicating how controversial this issue is. This is the first comprehensive research based on data from more than 79,000 researchers from all fields of knowledge. We find that inbreeding can be found in all fields of science in Brazil. Results from a robust statistical analysis indicate that inbreds are significantly more productive than non-inbreds in all research publications, except in books. Particularly, we find that researchers that have spent a mobility period, either during doctoral studies or a scholarly visiting position, are more productive than other types of inbreds. The overall conclusion is that there is no evidence to support the detrimental view of academic inbreeding based on scientific productivity. We then discuss possible explanations to our findings and present suggestions of future research. 相似文献