共查询到20条相似文献，搜索用时 250 毫秒
1.
Lutz Bornmann Alexander Tekles Helena H. Zhang Fred Y. Ye 《Journal of Informetrics》2019,13(4):100979
Lee et al. (2015) – based on Uzzi et al. (2013) – and Wang et al. (2017) proposed scores based on cited references (cited journals) data which can be used to measure the novelty of papers (named as novelty scores U and W in this study). Although previous research has used novelty scores in various empirical analyses, no study has been published up to now – to the best of our knowledge – which quantitatively tested the convergent validity of novelty scores: do these scores measure what they propose to measure? Using novelty assessments by faculty members (FMs) at F1000Prime for comparison, we tested the convergent validity of the two novelty scores (U and W). FMs’ assessments do not only refer to the quality of biomedical papers, but also to their characteristics (by assigning certain tags to the papers): for example, are the presented findings or formulated hypotheses novel (tags “new findings” and “hypothesis”)? We used these and other tags to investigate the convergent validity of both novelty scores. Our study reveals different results for the novelty scores: the results for novelty score U are mostly in agreement with previously formulated expectations. We found, for instance, that for a standard deviation (one unit) increase in novelty score U, the expected number of assignments of the “new finding” tag increase by 7.47%. The results for novelty score W, however, do not reflect convergent validity with the FMs’ assessments: only the results for some tags are in agreement with the expectations. Thus, we propose – based on our results – the use of novelty score U for measuring novelty quantitatively, but question the use of novelty score W. 相似文献
2.
《Journal of Informetrics》2022,16(2):101282
As critical building blocks of scientific research, research questions and research methods are put forward to reveal the nature of a publication's scientific novelty. Although existing studies have examined scientific novelty from multiple combination-based views, the temporal and semantic complexity of research questions and methods remains to be fully addressed. To remedy this, we introduce a new approach to measuring the novelty of papers from the perspective of question-method combination. Specifically, we demonstrated a life-index novelty measurement based on the frequency and age of question terms and method terms. Furthermore, by using deep learning and representation learning techniques, we proposed a semantic novelty measurement algorithm based on the semantic similarity of terms. By using the dataset of papers collected from ACM Digital Library for evaluation, the effectiveness of our methods was evaluated by case studies and statistical analysis. Our work innovatively integrates the age, frequency, and semantics of research methods and research questions that characterizes novelty in scientific publications. 相似文献
3.
E. Z. Suleimenov 《Scientific and Technical Information Processing》2010,37(1):33-36
The purpose of the Kazakh publication citation indicator that has been developed in Kazakhstan since 2005 is to carry out
scientometric analysis of scientific publications to determine their citation rate. At present, the bibliographic database
(BDB) on citation includes information on the publication activities and citation index of approximately 30000 Kazakh scientists
and specialists. They had over 18000 scientific papers published in over 500 domestic and foreign journals. The total quantity
of references to papers by Kazakh scientists was more than 28000. The Kazakh analogue of the science citation index determination
system is an efficient tool for analytical work with the BDB of scientific publications, which makes it possible to calculate
publication activities and citation parameters, which are used to define the value and demand for the results of scientific
work in various fields of domestic science. 相似文献
4.
The general aim of this paper is to show the results of a study in which we combined bibliometric mapping and citation network analysis to investigate the process of creation and transfer of knowledge through scientific publications. The novelty of this approach is the combination of both methods. In this case we analyzed the citations to a very influential paper published in 1990 that contains, for the first time, the term Absorptive Capacity. A bibliometric map identified the terms and the theories associated with the term while two techniques from the citation network analysis recognized the main papers during 15 years. As a result we identified the articles that influenced the research for some time and linked them into a research tradition that can be considered the backbone of the “Absorptive Capacity Field”. 相似文献
5.
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
6.
[目的/意义] 以我国图情领域为例,测量论文的新颖性和传统性并探究其对论文学术影响力的作用进而揭示学术创新的规律。[方法/过程] 采用基于马尔科夫链蒙特卡罗(Markov chain Monte Carlo,MCMC)的方法,对我国2000年至2019年20年间在中文社会科学引文索引(CSSCI)中收录的图书馆学情报学领域的70 207篇研究论文的新颖性、传统性进行测量,并分析论文新颖性和传统性对论文学科影响力的作用。[结果/结论] 结果显示,其他因素不变时,论文新颖性提高1个单位,论文成为高被引论文的优势比增加11%,而论文传统性提高1个单位,论文成为高被引论文的优势比增加33%。边际效应分析显示,同时具有较高的新颖性和传统性的论文较之于其他类型的论文具有更高的成为高被引论文的可能性。此外,随着时间推移,新颖性对论文成为高被引论文概率的影响逐渐削弱,而传统性的影响逐渐增强。同时,作者团队规模对于论文的新颖性存在显著影响,这种影响随着时间的推移而增强。这些发现凸显我国图情领域守正创新的特点,为理解我国图情领域的学术创新规律提供新的实证基础。同时,也提出一种不同于传统信息计量的基于贝叶斯统计的新方法。 相似文献
7.
Several authors have proposed that a large number of unusual combinations of cited references in a paper point to its high creative potential (or novelty). However, it is still not clear whether the number of unusual combinations can really measure the creative potential of papers. The current study addresses this question on the basis of several case studies from the field of scientometrics. We identified some landmark papers in this field. Study subjects were the corresponding authors of these papers. We asked them where the ideas for the papers came from and which role the cited publications played. The results revealed that the creative ideas might not necessarily have been inspired by past publications. The literature seems to be important for the contextualization of the idea in the field of scientometrics. Instead, we found that creative ideas are the result of finding solutions to practical problems, result from discussions with colleagues, and profit from interdisciplinary exchange. The roots of the studied landmark papers are discussed in detail. 相似文献
8.
[目的/意义]基于成果特征标识学者的学术专长是学者画像的重要任务,对学者分类、评审专家遴选、发现小同行等应用具有重要价值。[方法/过程]首先分析揭示学术专长的因素,用层次分析法构造专长标签权重分配模型;采用TextRank和概念链接技术从中英文成果内容中识别主题术语,结合权重筛选出具有领域共识和专长概括性的词汇作为专长标签。选取获得人才称号的多个领域科研人员,从中文或英文代表成果中提取专长标签,以人才公示中的专长领域作为对照基准,通过人工打分和语义计算评测识别效果。[结果/结论]在被贴中文专长标签的学者中,71.9%的个体的专长描述被认为满意。在被贴英文专长标签的学者中,77.2%的个体的专长描述被认为满意。实验表明提出的学者学术专长识别方法具有合理性。主要创新在于：在中英文不同语种以及是否存在外部知识库的条件下,提出从文献内容中挖掘候选标签词的解决方案;结合计量因素,用多种成果特征筛选专长标签,并提出权重分配的方案;针对评价基准欠缺的问题,提出基于语义计算的方式补充答案,从而扩充评价手段。 相似文献
9.
基于阅读价值的科技文献排序方法研究 总被引：1，自引：1，他引：0
科技文献的准备是开展科研工作的必须步骤和重要基础,而当前从电子期刊数据库中检索到的相关文献往往成百上千篇.如何判断一篇文献的阅读价值,并快速准确地获得相关知识,成为科技文献服务方面的一个共性需求.本文针对在科研工作中需要快速对文献按阅读价值进行排序并获得相关知识这一共性需求,以PageRank算法为基础,提出并验证了一种综合考虑文献的内容、期刊、作者、时间等反映文献阅读价值的因素对文献进行排序的PaperRank方法.该方法在得到依据文献阅读价值的排序结果的同时,还可获得在某一问题或领域研究中的重要作者和重要文献等相关知识. 相似文献
10.
11.
为了科学严谨地处理科技期刊编辑出版过程中的学术不端、诚实错误和学术争议等问题,提出区分处理学术存疑论文的策略.根据论文存疑性质的不同,在分类界定的基础上,提出区分处理的基本原则和具体方法,并结合实际案例进行阐述,提供可供科技期刊编辑参考的处理策略.客观公正地处理学术存疑论文,有助于净化学术环境,实现学术共同体的内部良性循环. 相似文献
12.
数据密集、语义、可视化与互动出版:全球科技出版发展趋势研究 总被引：2，自引：0，他引：2
探讨全球科技出版领域呈现的数据密集型出版、语义出版、可视化出版与互动出版等趋势.指出数据密集型出版从宏观层面构建海量数据的框架蓝图,为科学范式的转变提供基础环境;语义出版通过对各种文献进行标引关联,从微观层面铺设结构化数据的基础设施,解决数据和信息的机器理解问题;可视化出版作为重要的直观表达工具,从文献组成部分、文献架构、文献网络三个层面最大限度地提升科研人员获取信息的效率和效果;互动出版目前以学术维基出版物和全新的同行评议为主要特色,既是“无形学院”在网络 环境下的延伸,也渗透于正式科学交流中,从读者和用户层面打破科学信息开放、共享、交流的主要障碍. 相似文献
13.
《Journal of Informetrics》2022,16(1):101234
Science is built on scholarly consensus that shifts with time. This raises the question of how new and revolutionary ideas are evaluated and become accepted into the canon of science. Using two recently proposed metrics, atypicality and diruption, we measure how research draws upon novel combinations of prior research and the degree it creates a new direction by eclipsing its intellectual forebears in subsequent work. Atypical papers are nearly two times more likely to disrupt science than conventional papers, but this is a slow process taking ten years or longer for disruption scores to converge. We provide the first computational model reformulating atypicality as the distance across latent knowledge spaces learned by neural networks. The evolution of this knowledge space characterizes how yesterday's novelty forms today's scientific conventions, which condition the noveltyof tomorrow's breakthroughs. 相似文献
14.
《Journal of Informetrics》2014,8(4):935-950
Can altmetric data be validly used for the measurement of societal impact? The current study seeks to answer this question with a comprehensive dataset (about 100,000 records) from very disparate sources (F1000, Altmetric, and an in-house database based on Web of Science). In the F1000 peer review system, experts attach particular tags to scientific papers which indicate whether a paper could be of interest for science or rather for other segments of society. The results show that papers with the tag “good for teaching” do achieve higher altmetric counts than papers without this tag – if the quality of the papers is controlled. At the same time, a higher citation count is shown especially by papers with a tag that is specifically scientifically oriented (“new finding”). The findings indicate that papers tailored for a readership outside the area of research should lead to societal impact.If altmetric data is to be used for the measurement of societal impact, the question arises of its normalization. In bibliometrics, citations are normalized for the papers’ subject area and publication year. This study has taken a second analytic step involving a possible normalization of altmetric data. As the results show there are particular scientific topics which are of especial interest for a wide audience. Since these more or less interesting topics are not completely reflected in Thomson Reuters’ journal sets, a normalization of altmetric data should not be based on the level of subject categories, but on the level of topics. 相似文献
15.
Global scientific production on GIS research by bibliometric analysis from 1997 to 2006 总被引：1，自引：0，他引：1
《Journal of Informetrics》2008,2(1):65-74
A bibliometric analysis was applied in this work to evaluate global scientific production of geographic information system (GIS) papers from 1997 to 2006 in any journal of all the subject categories of the Science Citation Index compiled by Institute for Scientific Information (ISI), Philadelphia, USA. ‘GIS’ and ‘geographic information system’ were used as keywords to search parts of titles, abstracts, or keywords. The published output analysis showed that GIS research steadily increased over the past 10 years and the annual paper production in 2006 was about three times 1997s paper production. There are clear distinctions among author keywords used in publications from the five most productive countries (USA, UK, Canada, Germany and China) in GIS research. Bibliometric methods could quantitatively characterize the development of global scientific production in a specific research field. The analytical results eventually provide several key findings. 相似文献
16.
本文以专利这一类科技文献数据为主要载体,针对知识转化过程中隐含的技术层面进行组织分析。通过某一特定产业的产业链,以专利集中度为重心,从微观角度对专利进行定量定性分析,构造一种研究机构技术发展方向、技术热点领域的新分析方法,进而来判定机构的技术优势,并以专利链的属性预测机构的技术发展趋势。 相似文献
17.
基于自然语言词对法的文献主题新颖性探测研究 总被引：1，自引：0，他引：1
[目的/意义] 提出一个全新的量化指标--文档主题新颖度,通过自然语言词对方法对文献主题内容的新颖性进行探测研究,并探讨其可行性和优缺点以及新颖度与F1000推荐文献和引文指标之间的关系。[方法/过程] 以F1000为基础,选取hematology主题近一个月内推荐的文献,在Pubmed中查找并获取该推荐文献发表之前6个月内密切相关的文献,构成整个文献集。定义自然语言法新颖度的概念、计算公式并利用Oracle数据库PL/SQL语言进行编程,通过MetaMap软件提取自然语言词汇进行文献主题新颖度的运算。[结果/结论] 自然语言法在文献主题新颖性探测的运算上具有一定的可行性;文档主题新颖度与F1000推荐文献、引用情况并非成等价关系,分属于科技论文评价的不同维度、不同范畴,不可一概而论。应将文档主题新颖度这一新指标与同行评议情况和文献计量学等其他相关论文评价指标结合起来对文献进行综合评价分析,选取优质文献给予推荐。 相似文献
18.
为研究科技期刊学术论文通过微信推广的方式与效果,通过统计2020年《中国中药杂志》微信公众号上学术论文微信推广数据,分析相关不同类型文章的阅读数据,探索科技期刊推广学术论文并尽量实现最大传播效率应注意的因素。结果显示,《中国中药杂志》微信公众号对纸媒文章,尤其是全年24期封面推荐论文以及学术专题的微信推送数据效益较高,提示科技期刊选择微信公众号进行学术论文推广时注意符合平台的传播特点——紧跟行业热点、选择头条推送、优化标题及内容等,从而制作出有趣、有料的学术论文推广文案,推动期刊长远发展。 相似文献
19.
科学研究的目的在于创造知识,并应用理论成果解决我国社会、经济、文化等发展中的实际问题。将论文发表在国际期刊上可以让更多的国际同行了解我国最新的科研成果,为我国获得更多的国际影响力,所以在过去二十多年里SCI论文成为我国科研考核的一个重要指标。在这种科研评价导向下,我国学者发表的国际论文数量已居世界第一位,而大量来自国内同行的引用使得我国国际论文的被引量排名世界第二。本文提取1990至2015年Web of Science论文及其引文的数据,分析不同国家、不同学科在国家层次的自引情况,并在不同国家、不同学科之间进行比较。研究发现,在排除国内同行的自引后,我国国际论文的真实国际影响力仍然有限,除了临床医学和物理等少数学科外,其他学科仍然低于全球平均水平。 相似文献
20.
袁玉花 《图书馆工作与研究》2011,(12):41-43
NoteExpress具有文献检索、文献管理、文章撰写等功能,现已成为科研人员从事学术研究、个人知识管理和发表论文等科研活动的一款通用参考文献管理软件。该软件也为提高科技查新质量和查新效率提供了软件支持平台。本文介绍了科技查新与NoteExpress的概念,及NoteExpress在文献检索与科技查新报告撰写等过程中的应用。 相似文献