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1.
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   

2.
以SJR为数据来源,比较分析了1996-2008年巴西、印度、中国、韩国4个国家发表科技论文数量、可引用文献量、文献被引量、自引量、篇均被引量、去除自引后的篇均被引量、H指数、文献引用率、国际合作量等9个指标。中国发表论文数最多,2003年后每年增加约3万篇。巴西、韩国文献引用率、篇均引用量高,且自引率低;印度居中等水平;中国文献引用率、篇均引用率低且自引率高;国际合作度巴西最高、中国最低。可见中国的科技论文质量与其他3个国家相比,还有一定的差距。  相似文献   

3.
睡美人与王子文献的识别方法研究   总被引：1，自引：0，他引：1  
[目的/意义] 研究睡美人与王子文献的识别方法。分析唤醒机制,为未来在学术交流体系中发现"王子"作者,发掘、唤醒低被引和零被引文献的潜在价值提供理论依据。[方法/过程] 采用被引速率指标和睡美人指数两种客观指标识别1970-2005年临床医学四大名刊上发表的睡美人文献;基于以下4个原则寻找唤醒睡美人的王子文献:①发表于被引突增的附近年份;②本身被引次数较高;③与睡美人文献的同被引次数高;④在年度被引次数曲线上,王子文献对睡美人文献的"牵引或拉动"作用非常显著,即至少在睡美人文献引用突增的附近年份,王子文献的年度被引次数应高于睡美人文献。[结果/结论] 由于考虑了全部引文窗的引文曲线,被引速率指标能够识别出那些被引生命周期长、至今仍持续不断高频被引的论文;睡美人指数能够快速识别出睡美人文献,但却无法反映年度被引次数达到峰值之后的引文曲线;将被引速率+发表最初5年年均被引次数两个指标结合起来能够更好地识别睡美人文献。分析发现,综述、指南、著作等"共识型"的文献对于引发那些提出了新思想但尚未被认可的睡美人文献的被引突增起到了关键作用。建议事后识别睡美人文献可采用客观指标与主观界定相结合的方法,事前预测睡美人文献要注意追踪其是否被"共识性"文献推荐和引用,学术评价要特别关注被引速率低的论文。  相似文献   

4.
Influence and capital are two concepts used to evaluate scholarly outputs, and these can be measured using the Scholarly Capital Model as a modelling tool. The tool looks at the concepts of connectedness, venue representation, and ideational influence using centrality measures within a social network. This research used co‐authorships and h‐indices to investigate authors who have published papers in the field of information behaviour between 1980 and 2015 as extracted from Web of Science. The findings show a relationship between the authors’ connectedness and the venue (journal) representation. It could be seen that the venue (journal) influences the chance of citation, and equally, the prestige (centrality) of authors probably raises the citations of the journals. The research also shows a significant positive relationship between the venue representation and ideational influence. This means that a research work that is published in a highly cited journal will find more visibility and will receive more citations.  相似文献   

5.
Performance evaluation and prediction of academic achievements is an essential task for scientists, research organizations, research funding bodies, and government agencies alike. Recently, heterogeneous networks have been used to evaluate or predict performance of multi-entities including papers, researchers, and venues with some success. However, only a minimum of effort has been made to predict the future influence of papers, researchers and venues. In this paper, we propose a new framework WMR-Rank for this purpose. Based on the dynamic and heterogeneous network of multiple entities, we extract seven types of relations among them. The framework supports useful features including the refined granularity of relevant entities such as authors and venues, time awareness for published papers and their citations, differentiating the contribution of multiple coauthors to the same paper, amongst others. By leveraging all seven types of relations and fusing the rich information in a mutually reinforcing style, we are able to predict future influence of papers, authors and venues more precisely. Using the ACL dataset, our experimental results demonstrate that the proposed approach considerably outperforms state-of-the art competitors.  相似文献   

6.
文章从学术成果产出数量和学术影响力两个维度,对我国30所"985工程"大学图书馆从核心期刊发文数量和分布情况、论文被引数量和频次、论文的基金资助情况和论文国际化程度进行量化分析,并对一流大学图书馆的整体学术能力进行了综合评价和排名。  相似文献   

7.
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   

8.
Over the years, the number of journals indexed in Scopus has increased, although it varies significantly between countries. The increasing proportion of international journals of a country provides new venues for papers from that country to be seen by other researchers worldwide. In this work, we evaluate the relationship of a country’s scientific performance or publication success with both its journals’ quantity and quality. The specific objective of the study is to identify the relationship between the country’s publication success and the quantity and quality of those country’s journals indexed in Scopus during 2005–2014. The publication success of 102 individual countries, measured by their scientific productivity, impact and collaboration indicators, the quantity of country’s Scopus-indexed journals in 2014 (a total of 22,581 journals) as well as the quantity of its journals were investigated. Scopus-indexed journals are predominantly from Western Europe (48.9%) and North America (27.7%), with the United States and the United Kingdom dominate with a total 51%. The contribution from the peripheral countries is comparatively small, however there are a good number of contributions from the South-East Asian countries. Estonia is the fastest growing country in terms of having indexed journals in Scopus, following by Iran and Malaysia. Among the studied indices, it was found that publication success (total publications and total citations) of 102 countries are strongly correlated with quantity (number of indexed journals and number of documents published in indexed journals) and quality (citations per paper, SJR, h-index, CiteScore and SNIP) indicators of country’s journals. We can conclude that the scientific productivity of a country depend critically on the number of journals indexed from that country in citation databases. The study provides a context with which the relative success of publications can be assessed, yielding new insights into the scientific impact of individual countries and the performance of journals that they published.  相似文献   

9.
本文对新近提出的学术迹和影响矩指标应用于单篇论著的评价效果进行比较研究,以JASIST 2005—2014年间发表的25篇高被引论文和ASTROPHYSICAL JOURNAL 2011—2014年间发表的24篇高被引论文为两个样本集,研究学术迹和影响矩相对于总被引数和h指数等学术评价指标的异同,发现各指标排序既具有一定相关性,也呈现出一定独立性,说明这些指标均有独立存在价值,而学术迹和影响矩能提供更全面的测度信息。图3。表6。参考文献25。附录2。  相似文献   

10.
In collaborative content generation (CCG), such as publishing scientific articles, a group of contributors collaboratively generates artifacts available through a venue. The main concern in such systems is the quality. A remarkable range of research considers quality metrics partially when dealing with the quality of artifacts, contributors, and venues. However, such approaches have several drawbacks. One of the most notable ones is that they are not comprehensive in terms of the metrics to evaluate all entities, including artifacts, contributors, and venues. Also, they are vulnerable to potential attacks.In this paper, we propose a novel iterative definition in which the quality of artifacts, collaborators, and venues are defined interconnectedly. In our framework, the quality of an artifact is defined based on the quality of its contributors, venue, references, and citations. The quality of a contributor is defined based on the quality of his artifacts, collaborators, and the venues. Quality of a venue is defined based on both quality of artifacts and contributors. We propose a data model, formulations, and an algorithm for the proposed approach. We also compare the robustness of our approach against malicious manipulations with two well-known related approaches. The comparison results show the superiority of our method over other related approaches.  相似文献   

11.
Predicting the citation counts of academic papers is of considerable significance to scientific evaluation. This study used a four-layer Back Propagation (BP) neural network model to predict the five-year citations of 49,834 papers in the library, information and documentation field indexed by the CSSCI database and published from 2000 to 2013. We extracted six paper features, two journal features, nine author features, eight reference features, and five early citation features to make the prediction. The empirical experiments showed that the performance of the BP neural network is significantly better than those of the six baseline models. In terms of the prediction effect, the accuracy of the model at predicting infrequently cited papers was higher than that for frequently cited ones. We determined that five essential features have significant effects on the prediction performance of the model, i.e., ‘citations in the first two years’, ‘first-cited age’, ‘paper length’, ‘month of publication’, and ‘self-citations of journals’, and the other features contribute only slightly to the prediction.  相似文献   

12.
Researchers have investigated factors thought to affect the total number of citations in various academic disciplines, and some general trends have emerged. However, there are still limited data for many fields, including aquatic sciences. Using papers published in 2003–2005 (n = 785), we investigated marine and freshwater biology articles to identify factors that may contribute to the probability of citation and for cumulative citation counts over 10 years. We found no relationships with probability of citation; however, we found evidence that for those that were cited at least once, cumulative citations were related to several factors. Articles cited by books received more citations than those never cited by books, which we hypothesized to be indicative of the impact an article may have in the field. We also found that articles first cited within 2 years of publication received more cumulative citations than those first cited after 2 years. We found no evidence that self‐citation (as the first citation) had a significant effect on total citations. Our findings were compared with previous studies in other disciplines, and it was found that aquatic science citation patterns are comparable to fields in science and technology but less so to humanities and social sciences.  相似文献   

13.
Traditionally, the number of citations that a scholarly paper receives from other papers is used as the proxy of its scientific impact. Yet citations can come from domains outside the scientific community, and one such example is through patented technologies—paper can be cited by patents, achieving technological impact. While the scientific impact of papers has been extensively studied, the technological aspect remains less known in the literature. Here we aim to fill this gap by presenting a comparative study on how 919 thousand biomedical papers are cited by U.S. patents and by other papers over time. We observe a positive correlation between citations from patents and from papers, but there is little overlap between the two domains in either the most cited papers, or papers with the most delayed recognition. We also find that the two types of citations exhibit distinct temporal variations, with patent citations lagging behind paper citations for a median of 6 years for the majority of papers. Our work contributes to the understanding of the technological impact of papers.  相似文献   

14.
学术期刊优先出版与印刷出版的冲突及其对策   总被引：1，自引：0，他引：1  
为探讨学术会议与期刊的关系,分别从学术会议与期刊的起源、组织和交流形式、内容和功能上分析其共同点、特点和联系点,从而揭示学术会议与期刊之间的相互关系.阐明学术会议与期刊之间的相互联系和各自的优势.认为它们互相补充、相互促进、共同发展,在信息传播、学术交流和推动科学发展的不同方面共同发挥着重要作用.  相似文献   

15.
To explore the citation evolution of papers published in the same year but different month, we selected papers from a discipline (physical geography), a subject (diabetes: endocrine and metabolism) and a journal (Journal of Biological Chemistry) published in 2005 as research objects. These papers were divided into six groups according to the difference in publication month, and we analyzed citations to these papers for the 9 years after publication. The results showed that within 5 years after papers from physical geography were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); after that, the differences were not statistically significant. Within 5 years after papers from diabetes (endocrine and metabolism) were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); thereafter, the differences were not statistically significant. Within 7 years after papers from the Journal of Biological Chemistry were published, the overall differences in citations of papers in different groups were statistically significant (P < 0.05); thereafter, the differences were not statistically significant. Citations of papers followed the same pattern irrespective of discipline, subject or journal: citations of papers published in the same year but different month were obviously different in the first few publishing years, but as time went on, only the difference in publication month in a calendar year did not affect the papers' longer‐term citation.  相似文献   

16.
参考文献的评价功能及其对我国学术期刊评价的影响   总被引：50，自引：11，他引：39  
影响因子是一种最直接体现引文关系的期刊评价指标，但是，影响因子是一个相对的概念，有一定的局限性：由于一论文发表的时滞和研究时期不同、引文峰出现的时间不同、期刊源不同以及期刊自引现象等这些不确定因素的影响，经统计和计算得出的影响因子必然不同。这些都决定了利用参考文献的评价功能所得到的期刊评价指标只能是一种参考性的评价指标，所以构建科学的学术类科技期刊的评价体系已势在必行。  相似文献   

17.
以Science Citation Index Expanded数据库作为检索对象,从发文数量、总被引频次、篇均被引次数等方面对军事训练伤研究领域1997—2006年间发表论文居前10位的国家（地区）、机构和作者进行了统计分析,从论文计量的角度反映10年来各国（地区）军事训练伤研究的学术水平和发展动态。  相似文献   

18.
选取中国科技论文与引文数据库中2003—2012年的论文及引文数据,以综合大学学报类和医学综合类期刊的首篇文章为例,从单篇论文评价的角度探讨首篇文章(同行评议质量较高)与同期的总体论文、高h指数论文、高被引论文之间的关系。结果发现:相比同期的其他论文,期刊的首篇文章具有更高的影响力,论文的h指数均值及篇均被引都高于前者;期刊的首篇论文中,38%同时为当期论文中的h指数最高论文,10%为当期论文中的被引频次最高论文,定量评价的高质量论文与同行评议的高品质论文——首篇文章,具有较好的重合度。值得注意的是,这种重合度随着时间的推移在不断增长。  相似文献   

19.
以维普“中文科技期刊数据库”、清华同方“中国期刊全文数据库”和万方学术期刊数据库为数据源,检出2000—2009年国内期刊上发表的有关高职高专文献检索课教学研究的论文336篇,并对其年代分布、作者分布、著者合作度、基金论文和被引情况等进行了分析探讨,对我国高职文献检索课的发展提出参考意见。  相似文献   

20.
《Journal of Informetrics》2019,13(2):485-499
With the growing number of published scientific papers world-wide, the need to evaluation and quality assessment methods for research papers is increasing. Scientific fields such as scientometrics, informetrics, and bibliometrics establish quantified analysis methods and measurements for evaluating scientific papers. In this area, an important problem is to predict the future influence of a published paper. Particularly, early discrimination between influential papers and insignificant papers may find important applications. In this regard, one of the most important metrics is the number of citations to the paper, since this metric is widely utilized in the evaluation of scientific publications and moreover, it serves as the basis for many other metrics such as h-index. In this paper, we propose a novel method for predicting long-term citations of a paper based on the number of its citations in the first few years after publication. In order to train a citation count prediction model, we employed artificial neural network which is a powerful machine learning tool with recently growing applications in many domains including image and text processing. The empirical experiments show that our proposed method outperforms state-of-the-art methods with respect to the prediction accuracy in both yearly and total prediction of the number of citations.  相似文献   

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