共查询到19条相似文献，搜索用时 234 毫秒
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[目的/意义]探索论文未被引现象是引文分布研究中不可或缺的部分,不仅有利于丰富和扩展计量学的研究范畴,也有利于识别文献未被引的产生机制和最大限度避免科研资源浪费与提升科学交流效率。[方法/过程]以CSSCI为来源数据库,以图书馆情报与文献学为样本学科,随机选择200名学者为样本,获取这些学者的第一作者论文及相关引文数据,以6年为计量时间窗口,依析取的8个外部特征因素计算不同分组的未被引率,采用非参数方法检验各因素是否存在显著差异。[结果/结论]8个外部特征因素对论文未被引都有显著影响,其中作者所属机构的影响相对较小,作者发文时年龄与论文篇幅的影响相对较大,作者发文时职称、作者数量、参考文献数量、关键词数量、基金类别的影响程度大致相仿;各因素的未被引率在前3年的变化较为剧烈,后3年变化较为平缓;各因素未被引率的时间序列变化趋势各不相同,其影响平稳性也变化各异。 相似文献
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参考文献是科技论文不可或缺的一部分,它能够准确地表示出论文作者的科学态度,可在节约篇幅的同时增加文章的信息量,方便读者查阅。本文运用数理统计法对我国8种林业类期刊2015年发刊论文所引参考文献的数量、参考文献类型和参考文献语种等进行统计与分析。结果表明:篇均引文量,《林业科学研究》最高为24.12条,《福建林业科技》最低为10.75条;引文类型主要来源于期刊,外文的引用第二,而图书引用很少,这说明作者阅读期刊较多,相比之下图书研究的内容不如期刊的内容更快捷前沿;参考文献的语种还是中文位居榜首,其次是英文,其他语种引用比较少。分析结论:期刊刊发文章的引文数量、引文类型、外文的引用数量反映期刊刊发文章质量,也反映期刊质量。 相似文献
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[目的/意义]在学术交流日趋国际化的背景下,本文拟探索引文国际化与被引量之间的关系,力图回答良好的国际视野是否有助于提升论文的学术影响力这一学界普遍关注的问题。[研究设计/方法]以社会科学为研究对象,选取管理学、图书情报学和新闻传播学的181,406篇CSSCI论文为研究样本,采用相关分析、非参数检验与回归分析的方法研究引用外文期刊论文的数量、学术质量、学科领域、时效性对论文被引量的影响。[结论/发现]在控制了文献类型、期刊声誉等若干可能影响论文被引量的因素后,发现样本论文的引文国际化水平对其被引量具有显著的正向影响。具体而言,引用外文期刊论文的数量越多、平均学术质量越高、学科专属度越高、平均时效性越强的论文具有更高的被引量。[创新/价值]证实了国际视野有助于提升中文社科论文的学术影响力,并提出了有针对性的建议。 相似文献
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基于论文发表的普赖斯定律,以5本高被引核心期刊《科学学研究》《科研管理》《科学学与科学技术管理》《中国科技论坛》《研究与发展管理》刊载的1141篇文献为样本,实证检验论文被引频次的影响因素。结果表明：（1）论文被引频次整体程度不高,论文被引频次对刊载时间有较强依赖性的同时,二者之间也存在非线性关系;（2）作者是否合作、论文是否定量研究、论文下载次数、期刊影响因子与论文被引频次之间显著正相关,而期刊年发文量与论文被引频次之间显著负相关,且第一作者所在机构、性别以及论文受到基金资助的数量、期刊主办方等与论文被引频次之间不存在显著相关性。本研究的主要发现是论文特征决定论文被引频次,并得出相关启示,提出研究不足及未来方向。 相似文献
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面向学术新人的相关性判据研究—基于本科课程论文的内容分析 总被引：1，自引：1，他引：0
本文探讨了两个问题:其一是学术新人的相关性判据,其二是影响用户相关性判断的文献特征.在4个年级学生相关性判据文本的基础上,运用内容分析法解析出了包括传播特征、文献内容、情境、文献使用、系统特征、愉悦感知、文献质量、文献总体以及文献特征等9类相关性判据;针对第二个问题,解析出了包括参考文献、出版单位、出版时间、关键词、基金、篇幅、全文、题名、文献格式、文摘、语种、文献类型、来源期刊、作者以及机构等在内的15个文献特征.论文结合每类判据提出了针对学术信息检索系统的改进意见. 相似文献
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[目的/意义]从内容差异来探索论文未被引规律,不仅是论文未被引现象研究的重要内容,也有利于扩展基于内容的引文分析方法范畴。[方法/过程]以CSSCI作为来源数据库,以图书馆情报与文献学为样本学科,依据该学科学者的h指数分布特征随机选择200名学者作为样本对象,下载其1998-2015年的所有被收录论文数据;下载样本学科1998-2015年的所有收录论文数据,并离析出对应被引论文、高被引论文的相关数据;以6年为时间窗口,将发表后1-3年内被引的论文定义为被引论文,其余的为未被引论文;析取未被引论文、被引论文、学科整体论文及高被引论文的关键词,按关键词频数从高到低排序,选取排序前50的关键词构成关键词向量,计算关键词向量的内积、欧几里得长度和余弦相似度。[结果/结论]图书馆情报与文献学领域在21世纪初形成较为稳定的研究内容体系,其未被引论文与学科整体论文、被引论文、高被引论文的内容相似度都较低,表明研究内容对论文未被引有重要影响。 相似文献
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从学位论文化的引文分析看硕士研究生的文献需求 总被引：3，自引：0，他引：3
通过对天津医科大学2001年86篇硕士研究生学位论文所引文献的数量、语种、文献类型，年代及出版物等的统计调查，并与国内同学科硕士学位论文的引文分析情况进行比较，发现硕士生在参考文献时首选英文文献，期刊类文献为主要文献源，外文期刊引用明显高于中文期刊，中文多选自发表后第3年的文献，外文则多选自发表后第4至6年期间的文献。本文归纳出我校研究生常用的72种中文、87种外文期刊，对图书馆适当调整期刊的订购，进一步提高馆藏期刊收藏的质量等方面，提供了一定的参考依据。 相似文献
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从学位论文的引文分析看硕士研究生的文献需求 总被引：14，自引：0，他引：14
通过对天津医科大学 2 0 0 1年 86篇硕士研究生学位论文所引文献的数量、语种、文献类型、年代及出版物等的统计调查 ,并与国内同学科硕士学位论文的引文分析情况进行比较 ,发现硕士生在参考文献时首选英文文献 ,期刊类文献为主要文献源 ,外文期刊引用明显高于中文期刊 ,中文多选自发表后第 3年的文献 ,外文则多选自发表后第 4至 6年期间的文献。本文归纳出我校研究生常用的 72种中文、87种外文期刊 ,对图书馆适当调整期刊的订购 ,进一步提高馆藏期刊收藏的质量等方面 ,提供了一定的参考依据。 相似文献
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本文采用文献计量学的方法,通过对<污染防治技术>近五年(1996-2000年)间所发表论文的引用文献(包括引文的数量,学科,类型,语种,年代和被引期刊分布)的调查分析,得出我国环境科学文献引文的一般规律. 相似文献
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This study assesses whether eleven factors associate with higher impact research: individual, institutional and international collaboration; journal and reference impacts; abstract readability; reference and keyword totals; paper, abstract and title lengths. Authors may have some control over these factors and hence this information may help them to conduct and publish higher impact research. These factors have been previously researched but with partially conflicting findings. A simultaneous assessment of these eleven factors for Biology and Biochemistry, Chemistry and Social Sciences used a single negative binomial-logit hurdle model estimating the percentage change in the mean citation counts per unit of increase or decrease in the predictor variables. The journal Impact Factor was found to significantly associate with increased citations in all three areas. The impact and the number of cited references and their average citation impact also significantly associate with higher article citation impact. Individual and international teamwork give a citation advantage in Biology and Biochemistry and Chemistry but inter-institutional teamwork is not important in any of the three subject areas. Abstract readability is also not significant or of no practical significance. Among the article size features, abstract length significantly associates with increased citations but the number of keywords, title length and paper length are insignificant or of no practical significance. In summary, at least some aspects of collaboration, journal and document properties significantly associate with higher citations. The results provide new and particularly strong statistical evidence that the authors should consider publishing in high impact journals, ensure that they do not omit relevant references, engage in the widest possible team working, when appropriate, and write extensive abstracts. A new finding is that whilst is seems to be useful to collaborate and to collaborate internationally, there seems to be no particular need to collaborate with other institutions within the same country. 相似文献
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《Journal of Informetrics》2020,14(4):101066
Author keywords for scientific literature are terms selected and created by authors. Although most studies have focused on how to apply author keywords to represent their research interests, little is known about the process of how authors select keywords. To fill this research gap, this study presents a pilot study on author keyword selection behavior. Our empirical results show that the average percentages of author keywords appearing in titles, abstracts, and both titles and abstracts are 31%, 52.1%, and 56.7%, respectively. Meanwhile, we find that keywords also appear in references and high-frequency keywords. The proportions of author-selected keywords appearing in the references and high-frequency keywords are 41.6% and 56.1%, respectively. In addition, keywords of papers written by core authors (productive authors) are found to appear less frequently in titles and abstracts in their papers than that of others, and appear more frequently in references and high-frequency keywords. The percentages of keywords appearing in titles and abstracts in scientific papers are negatively correlated with citation counts of papers. In contrast, the percentages of author keywords appearing in high-frequency keywords are positively associated with citation counts of papers. 相似文献
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Multidisciplinary cooperation is now common in research since social issues inevitably involve multiple disciplines. In research articles, reference information, especially citation content, is an important representation of communication among different disciplines. Analyzing the distribution characteristics of references from different disciplines in research articles is basic to detecting the sources of referred information and identifying contributions of different disciplines. This work takes articles in PLoS as the data and characterizes the references from different disciplines based on Citation Content Analysis (CCA). First, we download 210,334 full-text articles from PLoS and collect the information of the in-text citations. Then, we identify the discipline of each reference in these academic articles. To characterize the distribution of these references, we analyze three characteristics, namely, the number of citations, the average cited intensity and the average citation length. Finally, we conclude that the distributions of references from different disciplines are significantly different. Although most references come from Natural Science, Humanities and Social Sciences play important roles in the Introduction and Background sections of the articles. Basic disciplines, such as Mathematics, mainly provide research methods in the articles in PLoS. Citations mentioned in the Results and Discussion sections of articles are mainly in-discipline citations, such as citations from Nursing and Medicine in PLoS. 相似文献
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随着科技的发展,专利篇幅和专利保护权项数量呈现逐渐增多的趋势。但是,这两个专利长度指标与专利质量之间的必然关系却没有得到充分研究。通过对这两个专利长度指标的整体态势、时间趋势、国家分布、机构合作和引证等的分析与对比,发现专利篇幅虽然呈逐渐增加的趋势,但目前最受关注的仍是短篇幅的专利;而专利保护权项数量与专利引证次数之间存在着线性增长相关。因此,认为专利保护权项数量可以作为专利质量评价的有效指标之一。 相似文献
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哪些因素会影响学术论文的被引次数是文献计量学领域的一个经典研究议题。目前的研究主要关注论文的内容特征和形式特征与被引次数之间的关系,鲜有研究从文本可读性视角切入这一议题。文本可读性影响读者对文本内容的理解和知识吸收,是一个关乎知识传播效率和研究成果认可度的重要因素。本研究在控制论文知识品质和权威性的基础上,使用文本可读性R值等五个变量研究论文的文本可读性对被引次数的影响。以中文图书情报学知名期刊发表于2016—2020年的论文为研究样本,研究发现论文的文本可读性R值、是否采用复合式标题、是否使用公式和表格对被引次数有显著影响,而是否使用图对被引次数没有显著影响。研究验证了中文情境下文本可读性对论文影响力的实质性作用,研究结果对科研人员改善自身的中文学术写作以及提高研究成果影响力具有重要参考价值。 相似文献
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[目的/意义] 针对60年间作者引用行为演变的分析,了解引文评价的局限性,促进学术论文评价方法的发展和完善。[方法/过程] 通过对1957-2017年物理学和哲学代表性期刊的280篇论文的3 314条参考文献和5 222次引文进行识别,判断和统计其在不同年代的引用特征,并讨论引用行为的演变趋势对引文评价的可能影响。[结果/结论] 通过调查发现如下结论：一是期刊论文在参考文献载体类型和年代分布上没有明显变化,但在篇均参考文献量、参考文献文内平均被引用次数、论文的引用认同和引用深度等方面存在明显变化趋势;二是引用行为的变化,使得引文分析作为学术论文评价的依据受到质疑。论文篇均参考文献量的增长以及深度引用与负面引用比重的下降,使得引文评价的参考性减弱。 相似文献
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In this paper we present a first large-scale analysis of the relationship between Mendeley readership and citation counts with particular documents’ bibliographic characteristics. A data set of 1.3 million publications from different fields published in journals covered by the Web of Science (WoS) has been analyzed. This work reveals that document types that are often excluded from citation analysis due to their lower citation values, like editorial materials, letters, news items, or meeting abstracts, are strongly covered and saved in Mendeley, suggesting that Mendeley readership can reliably inform the analysis of these document types. Findings show that collaborative papers are frequently saved in Mendeley, which is similar to what is observed for citations. The relationship between readership and the length of titles and number of pages, however, is weaker than for the same relationship observed for citations. The analysis of different disciplines also points to different patterns in the relationship between several document characteristics, readership, and citation counts. Overall, results highlight that although disciplinary differences exist, readership counts are related to similar bibliographic characteristics as those related to citation counts, reinforcing the idea that Mendeley readership and citations capture a similar concept of impact, although they cannot be considered as equivalent indicators. 相似文献
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Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the
retrieval of either short or long documents and, thus, a length-based correction needs to be applied for avoiding any length
bias. In Language Modeling for Information Retrieval, smoothing methods are applied to move probability mass from document
terms to unseen words, which is often dependant upon document length. In this article, we perform an in-depth study of this
behavior, characterized by the document length retrieval trends, of three popular smoothing methods across a number of factors,
and its impact on the length of documents retrieved and retrieval performance. First, we theoretically analyze the Jelinek–Mercer,
Dirichlet prior and two-stage smoothing strategies and, then, conduct an empirical analysis. In our analysis we show how Dirichlet
prior smoothing caters for document length more appropriately than Jelinek–Mercer smoothing which leads to its superior retrieval
performance. In a follow up analysis, we posit that length-based priors can be used to offset any bias in the length retrieval
trends stemming from the retrieval formula derived by the smoothing technique. We show that the performance of Jelinek–Mercer
smoothing can be significantly improved by using such a prior, which provides a natural and simple alternative to decouple
the query and document modeling roles of smoothing. With the analysis of retrieval behavior conducted in this article, it
is possible to understand why the Dirichlet Prior smoothing performs better than the Jelinek–Mercer, and why the performance
of the Jelinek–Mercer method is improved by including a length-based prior.
相似文献
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