共查询到17条相似文献，搜索用时 143 毫秒
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基于引文内容分析的档案学高被引论文引用特征研究方法,文章界定三种引用情感类型,实证研究基于引文内容的主题识别和情感类型识别。揭示档案学高被引论文反映的引用主题和引用行为动机。 相似文献
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[目的/意义]从主题视角对环境科学领域的零被引论文进行分析,对比零被引论文与高被引论文在文章内容、外在指标方面的不同,揭示零被引论文存在的原因。[方法/过程]首先,对来自Web of Science数据库的国内环境科学领域的260篇高被引论文、907篇零被引论文的摘要进行PLDA主题识别,然后通过主题相似度计算发现主题间的关联,以主题热度作为内部指标,发文时间、发文期刊作为外部评价指标,最后,把论文主题内容与外部指标结合进行零被引与高被引论文之间的相同主题、不同主题对比分析。[结果/结论]在研究主题相同情况下,期刊的影响因子大小是影响零被引论文的主要因素;在主题不同的情况下,论文研究的主题内容是导致零被引论文的主要原因。 相似文献
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基于引文内容分析的引用情感识别研究 总被引：1，自引：0，他引：1
[目的/意义]针对自动识别论文引用情感问题,提出一种基于引文内容分析的识别方法并进行可视化展示,克服基于简单引用频次计量无法区分不同引用情感的问题。[方法/过程]首先,利用正则表达式抽取出论文全文中的引文内容信息;然后,利用TF-IDF算法筛选出引用情感特征词,结合情感词典,利用情感分析技术对引文内容进行引用情感识别;最后,利用可视化工具展示出引用情感整体分布情况。[结果/结论]该方法能够有效识别出抗衰老领域论文数据集中引用情感情况。实验结果显示,该领域正面引用占总引用次数的21%,中立引用占总引用次数的78%,负面引用仅占总引用次数的1%。与传统引文网络相比较,基于引用情感的可视化图谱可以有效识别出不同引用情感在整体数据集合上的分布情况。 相似文献
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[目的/意义]学术竞争力被普遍认为是衡量学科可持续发展的关键要素;通过图书情报学(简称"图情")高被引论文的内容结构特征阐释图情学术竞争力不足的影响因素并揭示其成因。[方法/过程]融合社会分层理论、市场效率理论和资源基础理论提出学术竞争力模型,构建"体裁-学术规范-社会效应"内容分析框架,利用中国知网全文数据库图情重点期刊2009-2013年80篇高被引论文、6552条引文开展内容分析。[结果/结论]高被引论文之报导型、基础型、应用型和综述型的体裁分布依次为78.8%、3.75%、10%和7.5%,且报导型以图书馆职业研究为主;高被引论文职业实践效应明显,基础社会效应相对不足。上述发现表明,图情学科学术竞争力不足跟论文的体裁结构和社会效应水平紧密相关,职业化是导致学术竞争力不足的根源。因此,就教育层面而言,推进学科转型是一条必由之路。 相似文献
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中国期刊全文数据库引文检索效果探析 总被引：1，自引：0，他引：1
以CJFD1994至2002年全文数据库来源期刊刊载的有关图书情报学核心期刊计量分析论文的引文和被引情况等为统计研究对象，揭示cJFD引文检索的基本规律及其检索效果，并分析影响其检索效果的主要原因。 相似文献
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以引文上下文为研究对象,探讨来自于引文上下文、目标文献摘要以及目标文献自标医学主题词（下称主题词）三者间的符合程度,定量分析引文上下文在表征目标文献内容特征时的作用。以被Circulation杂志高频引证的5篇研究类论文作为目标文献,提取其施引文献的全部引文上下文,并对其进行分词及主题词匹配;将其结果与目标文献摘要提取的主题词以及文献自标的主题词进行两两比较。结果表明,引文上下文与目标文献摘要具有较高的符合度,而且在表征被引文献内容特征的效果上明显具有优势。 相似文献
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应用中国学术文献网络出版总库(CNKI)作为统计源,采用引文分析法,对我国读者服务研究高被引论文研究主题、期刊分布、发表年份、论文作者等进行统计分析,揭示我国读者服务研究的一些特点。 相似文献
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Gui-Yuan Shi Yi-Xiu Kong Guang-Hui Yuan Rui-Jie Wu An Zeng Matúš Medo 《Journal of Informetrics》2019,13(2):717-725
Identifying the future influential papers among the newly published ones is an important yet challenging issue in bibliometrics. As newly published papers have no or limited citation history, linear extrapolation of their citation counts—which is motivated by the well-known preferential attachment mechanism—is not applicable. We translate the recently introduced notion of discoverers to the citation network setting, and show that there are authors who frequently cite recent papers that become highly-cited in the future; these authors are referred to as discoverers. We develop a method for early identification of highly-cited papers based on the early citations from discoverers. The results show that the identified discoverers have a consistent citing pattern over time, and the early citations from them can be used as a valuable indicator to predict the future citation counts of a paper. The discoverers themselves are potential future outstanding researchers as they receive more citations than average. 相似文献
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2001～2006年国际情报学研究的引文分析 总被引：1，自引：0，他引：1
目的:了解当前国际情报学研究现状,总结研究热点,提供参考信息。方法:采用引文分析方法,对国外6种情报学核心期刊2001～2006年发表的学术论文进行调查分析,并用SPSS对高频被引文献进行同被引聚类分析。根据各个类中的文献内容分析当前研究的热点。结果:检得SSCI数据库中相关文献2320篇,其参考文献出现频次高于30次的论文47篇。高被引论文聚类分析树图分6类。结论:当前情报学研究热点主要集中于六个方面:网络信息资源评价、文献及作者同被引分析、信息组织处理、用户信息检索行为研究、情报学在医学领域的应用及基本理论阐述。 相似文献
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Nations can be distinguished in terms of whether domestic or international research is cited. We analyzed the research output in the natural sciences of three leading European research economies (Germany, the Netherlands, and the UK) and ask where their researchers look for the knowledge that underpins their most highly-cited papers. Is one internationally oriented or is citation limited to national resources? Do the citation patterns reflect a growing differentiation between the domestic and international research enterprise? To evaluate change over time, we include natural-sciences papers published in the countries from three publication years: 2004, 2009, and 2014. The results show that articles co-authored by researchers from Germany or the Netherlands are less likely to be among the globally most highly-cited articles if they also cite “domestic” research (i.e. research authored by authors from the same country). To put this another way, less well-cited research is more likely to stand on domestic shoulders and research that becomes more highly-cited is more likely to stand on international shoulders. A possible reason for the results is that researchers “over-cite” the papers from their own country – lacking the focus on quality in citing. However, these differences between domestic and international shoulders are not visible for the UK. 相似文献
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运用引文增强技术对《档案管理》的发文和被引数据进行深层关联分析,从施引学科、施引群体、施引机构、学术宣传效果等角度探讨该刊的学术影响力特征及影响因素。本研究发现该刊的学科影响力主要局限在档案学领域,施引机构多集中在高校,该刊的论文价值发现周期偏长,被错引的比例较高,且高频施引者占比较少,建议该刊扩大选题范围,积极吸纳亲缘学科的相关论文;奖励活跃贡献者,提高作者回报率;重视学术宣传工作,降低被误引的概率,从而进一步提升学术影响力。 相似文献
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Review papers tend to be cited more frequently than regular research articles. This fact, together with the continuous increase of the share of reviews in scientific literature, can have important consequences for the measurement of individuals’ research output, usually based on citation analysis. However, studies evaluating the differences in citations of review papers compared to original research articles are almost non-existing in the literature. This paper presents a thorough analysis of the overcitation and overrepresentation of review papers in the most cited papers of the 35 largest subject categories in Science Citation Index-Expanded. Results indicate the average citations received by reviews depends largely on the research area considered, varying from 1.34 to 6.74 times the citations received by original research articles (average value is 2.95). Correlated with this overcitation, there is an important overrepresentation of reviews in the most cited papers, this overrepresentation being greater when the most highly cited papers are considered, i.e. 0.05% and 0.1% most cited papers, where the share of reviews have increased from 16 to 18% in 1990 to around 40% in 2010. Interestingly, the overcitation and overrepresentation in the most cited papers is more important in the areas with the lowest shares of reviews in total publications. 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