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1.
[目的/意义]回顾现有的睡美人文献识别方法,梳理不同方法的优缺点,尝试兼顾准确性与易操作性来改进睡美人文献的识别方法。[方法/过程]基于目前发展较为成熟的Bcp指数识别法,借鉴其利用引文曲线"离散程度"进行识别这一核心思想,引入统计学中的"变异系数"概念,将其应用于不同引文曲线类型的区分,从而提出用以识别睡美人文献的PCV指数。[结果/结论]识别结果显示,PCV指数能够较为简单、准确地识别睡美人文献,且该方法对总被引次数具有较低的依赖性。  相似文献   

2.
向菲  陈华芳  沈桐  曹广  刘艳 《情报学报》2023,(10):1166-1175
本质上,Altmetrics与被引频次均是对于学术成果影响力的计量,那么在引文中出现的“睡美人”现象,在Altmetrics中也同样存在。睡美人文献具有重要科研价值,实现基于Altmetrics的睡美人文献的早期识别,可以提升文献利用率,提升公众智慧,反映公众对科学的关注。设计识别方法用于识别现有的睡美人文献,是实现睡美人文献早期识别的第一步。基于Altmetrics的睡美人文献最重要的两个特点是较长的睡眠时间和关注的突增,以这两个特点为核心,本文参考四分位数和Bcp指数的思路,设计了一种基于Altmetrics的睡美人文献识别方法——ASB指数(altmetrics sleeping beauty index)。以关注度排名前1%的文章作为高关注度文献,形成实验集对ASB指数的识别效果进行检验,比较ASB值最高、中位、末位各10篇文章的关注累积曲线和指标特征,观察ASB指数的识别效果。检验结果表明,ASB指数对基于Altmetrics的睡美人文献识别效果良好。  相似文献   

3.
[目的/意义]鉴于国内对"睡美人"文献研究的不足,介绍一种新的识别"睡美人"文献的方法——K值算法,并利用该算法识别图书情报学(Information Science&Library Science,ISLS)领域的"睡美人"文献。研究对发现ISLS领域科技成果的发明人和倡导者、保护并促进重大科学发现的推广应用等均具有重要意义。[方法/过程]以Web of Science数据库中1988-2007年ISLS领域的3460篇文献为例,构成识别"睡美人"文献的数据集,利用K值算法识别其中的"睡美人"文献,总结ISLS领域"睡美人"文献的特征,并分析其唤醒机制。[结果/结论]结果表明,K值算法能够较好地识别ISLS领域的"睡美人"文献,用该算法从ISLS领域文献中共识别出6篇"睡美人"文献,这些文献的沉睡时长从7-14年不等,其研究内容主要是新方法、新系统在医学上的应用。唤醒上述"睡美人"文献的动因包括:理论和技术的后续发展、系统的商业化、作者后来赢得的声誉、知名学者的引用等。  相似文献   

4.
高被引论文与“睡美人”论文引用曲线及影响因素研究   总被引:2,自引:0,他引:2  
[目的/意义]通过对潜在“睡美人”论文的引用分布分析,提炼其特征,以期为“睡美人”论文的预判研究提供思路。[方法/过程]采用引用曲线这一更为直观的反映论文引用分布的方法,以“天文学和天体物理”这一领域为例,构建其10的高被引论文、“睡美人”论文的10-20年被引用数据并进行引文分布的对比分析。[结果/结论]研究发现两类文献的引用曲线模式及特点——高被引论文的持续增长型、显峰型、双峰型、振荡型,“睡美人”论文的持续增长型、显峰型、双峰型、振荡型、稳定型等被引用曲线模式;针对施引文献、研究主题演化方向探讨了各模式引用曲线形成的相关因素,发现两类文献达到引用高峰的时间存在差异。  相似文献   

5.
识别睡美人文献,发现其作者的动态h指数变化规律,可多维度观察睡美人文献,并从作者影响力角度探索睡美人文献的唤醒要素。本文结合识别睡美人文献的参数标准与无参数指标Bcp的计算方法,建立了基于Bcp无参数指标的睡美人文献识别标准,依据Bcp指数的计算和Bcp无参数指标识别标准,识别出Science、Nature和PNAS三大期刊高被引文献中的睡美人文献作为研究样本,并从中筛选高Bcp指数的代表性睡美人文献,探讨其作者影响力指标h指数的动态变化规律。研究结果表明:根据Bcp识别标准的睡美人文献比例为238%,与前人研究的比例比较吻合,该标准被验证具有可行性;睡美人文献的出现与唤醒时间分布规律具有阶段性特征,且各阶段相互对应,但先后顺序不同;睡美人文献作者历年动态h指数曲线整体呈线性趋势;存在部分具有特殊上升规律的动态h指数曲线的典型“睡美人作者”。图6。表1。参考文献35。  相似文献   

6.
[目的/意义]"睡美人"文献是对科学论文中存在的迟滞认可现象的描述,而延迟发现与延迟关注的现象也同样存在于技术文献中。在梳理文献中的睡美人、专利沉睡现象及专利引文分析的相关研究后,将此概念引入到专利信息分析中,揭示专利文献中存在的睡美人现象。[方法/过程]以美国专利商标局和美国国家经济研究局发布的专利及其引证信息为基础,使用睡美人文献经典识别方法识别出睡美人专利,对其进行特征分布分析,并选取典型案例进行研究。[结果/结论]结果证明专利文献中也存在睡美人现象,且拥有专利文献特有的特征,为后续睡美人专利的识别与唤醒奠定基础,进而为及早发现并利用此类有价值的专利文献提供解决方案,促进知识流动和技术迭代,提高科研效率,加速科学发现。  相似文献   

7.
宗张建 《图书情报工作》2019,63(16):132-142
[目的/意义]睡美人文献是一类蕴藏着巨大科学价值的文献。对国内外睡美人文献识别方法的相关研究成果进行总结与梳理,形成比较完整的综述内容,为国内该领域研究提供参考与借鉴。[方法/过程]按方法属性将识别方法总结为4类,概括各识别方法的基本思路、识别标准、优点及局限性,并参照睡美人文献识别方法的4条原则进行对比,指出各识别方法的适用范围。[结果/结论]睡美人文献识别方法已由单一逐渐丰富,从主观参数向客观指标演变,从单一引文曲线向多种形式曲线并用发展。未来睡美人文献识别研究可从睡眠深度标准再定义、识别方法再组合上深入。此外,还需重视睡美人文献的定性研究和识别方法的验证性研究,重视睡美人引文价值的测度以及预测性研究。  相似文献   

8.
[目的/意义] 睡美人文献是指那些发表初期遭遇长时间的冷遇,随后突然引起广泛关注的文献。这些文献往往蕴含着重大科学发现,对其进行识别研究具有重大意义。通过对现有识别方法的梳理和分析,提出识别睡美人文献方法的改进思路和做法。[方法/过程] 明确以高被引文献作为睡美人文献识别研究的对象,选取文献年被引频次累积变化趋势作为研究切入点,提出累积被引速度和累积被引加速度两个指标,明确自引的处理方法。[结果/结论] 提出睡美人文献识别方法的改进思路与实证路线,在一定程度上优化了识别方法,同时为睡美人文献预测方法的研究提供一定的基础。  相似文献   

9.
"睡美人"现象是科学论文中存在的一种特殊现象,指论文刚发表时几乎被忽视,很少被引用,但若干年之后,突然被大量引用。"昙花一现"现象与"睡美人"现象正好相反,指论文刚发表时立即引起关注,但持续时间很短,很快被人遗忘。学术界对被引次数的关注主要集中在"高被引"论文。研究"睡关人"与"昙花一现"现象的意义在于将学术界的注意力吸引到"低被引"或"零被引"论文上。论文在评述这两种引文现象的相关研究之后,解释了他们在科研管理中的意义,并探讨了进一步研究的方向。  相似文献   

10.
对论文引用中的睡美人现象给出了一个认定方法,通过对中文社会科学引文索引(CSSCI)数据库中图书情报类期刊进行检索与文献遍历,找到满足假设条件的4篇文献,并选取其中2篇进行详细考察。结论如下:(1)论文引用中的睡美人现象在图书情报领域确实存在;(2)睡美人论文发表时,作者在学界尚未成名;(3)睡美人论文发表刊物均是核心刊物,但非该领域权威刊物;(4)睡美人论文内容或具有多学科交叉性,或有一定的技术含量,他人涉足有一定难度;(5)知名学者的涉足,对论文引用中的睡美人现象起到了促推作用。  相似文献   

11.
In science-technology research, papers and patents are used to represent science and technology, respectively. Detecting sleeping beauty papers and their princes in technology (patent field) could uncover dynamic knowledge contributions from science (paper field) to technology (patent field). However, previous studies have mainly focused on sleeping beauty in science. Some studies have examined SB patents in technology, but SB papers in patents are rarely studied and need to be further discussed. In addition, knowledge could flow along citations. Thus, if one paper is cited by one patent's reference (indirect citation), it also contributes to the patent, even though the patent does not directly cite it. At the same time, indirect citations are rarely discussed in sleeping beauty studies. This could lead to a loss of significant information. Therefore, to reveal the dynamic knowledge contribution from science to technology considering indirect citations, this study proposed a new method of mining sleeping beauty papers in technology and their princes. The lithium-ion battery domain is selected as a case study. The findings are as follows: (1) Most papers do not contribute knowledge to technology continuously, even when considering indirect citations, and the time-varying knowledge contribution strength changes significantly overtime. (2) The knowledge contribution strength with a time delay of more than 11 years occupies 80% of the total knowledge contribution strength. It is suggested that the window period of paper publication evaluation be extended. (3) 22 sleeping beauty papers in technology are detected. Nine papers are among the top 10 regarding the total knowledge contribution strength. (4) The princes of 9 typical sleeping beauty papers in technology are all papers. This implies that the awakening of these papers in technology was all provoked by scientific development.  相似文献   

12.
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   

13.
[目的/意义]探索中文学术期刊论文的引文模式及时间窗口的选择对引文模式的影响,建立引文模式的分析框架。[方法/过程]以2006-2008年出版的图书情报领域期刊论文作为研究对象,采用两步聚类法对单篇论文在7年内的绝对被引量与相对被引量进行聚类分析,研究论文主要特征因子与引文模式的相关性。[结果/结论]在绝对被引量视角下,期刊论文均表现为先上升后下降的经典引文模式;在相对下载量视角下,期刊论文共有6种引文模式,其中3种可以归纳为经典引文模式,另外3种分别为"类睡美人型"、正偏型和马拉松型。相对被引量视角下,首年被引量与总被引量呈现了中等甚至较强的相关性,并且平均被引量越高,相关性越强,绝对被引量视角下的结果正好相反。结果表明,期刊论文的初始被引量与总被引量的相关性高低主要取决于引文曲线的峰度而非总被引量的大小。  相似文献   

14.
The sleeping beauties in science signify a unique knowledge diffusion trajectory created by citation after the publication of scientific literature. However, in social media, scientific knowledge creates a new diffusion trajectory through social media metrics such as View, Save, Discussed, and Recommendations. This study aims to define social media–based sleeping beauties S-SB in science by using social media metrics which we termed as citation-based Sleeping Beauties in science, C-SB. We constructed a quantitative method to identify S-SB and conducted an empirical study of all types of 4019 articles published in PLOS Biology. Comparison of the S-SB and C-SB results revealed that from the perspective of social media metrics, C-SB has become the literature of S-total elements early gradual awakening type, S-total elements delay gradual awakening type, and S-early sudden awakening type. Moreover, the awakening time of C-SB literature under the action of social media metrics was found to be 4–5 years earlier than that under the action of citation-based indicators. Both C-SB and S-SB included significant “Editorial Material,” establishing that “Editorial Material” type literature is noteworthy while promoting the diffusion of scientific knowledge. Overall, this study extends the perspective of sleeping beauties in science.  相似文献   

15.
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   

16.
《编辑学报》高被引论文分析   总被引:5,自引:1,他引:4  
张建合 《编辑学报》2010,22(6):562-564
以中国知网<中国学术文献网络出版总库>为统计源,从文献引证的角度分析<编辑学报>高被引论文的分布规律.研究结果表明:该数据库共收录<编辑学报>1989-2009年原文3 508篇,被引文献2545篇,被引率为73%,总被引频次为1万5 863,单篇最高被引频次71;较少的论文拥有较高的被引频次,基本符合"二八定律";前100篇高被引论文中,栏目高被引论文数最多的是<理论研究>(46篇),个人高被引论文数最多的是游苏宁(6篇);前10篇高被引论文每年都在被引用,具有旺盛的生命力.  相似文献   

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