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1.
Scientific impact indexes like h are responsive to two parameters: the researcher's productivity given by the number of her published papers (an aspect of quantity) and citations (an aspect of quality). In this paper I prove that the two parameters can be treated separately: the index h can be axiomatized by appealing (1) only to axioms that allow for productivity changes, but do not require taking into account distinct situations in which a researcher's papers received different numbers of citations or (2) only to axioms that allow for changes in the number of citations received by the researcher's papers, but do not require changes in scientific productivity. The axioms used are weak. Specifically, monotonicity is avoided.  相似文献   

2.
The importance of a scientific journal is usually established by considering the number of citations received by the papers that the journal publishes. In this way, the number of citations received by a scientific journal can be considered as a measure of the total production of the journal. In this paper, in order to obtain measures of the efficiency in the production process, the approach provided by stochastic frontier analysis (SFA) is considered, and econometric models are proposed. These models estimate a frontier production, which is the maximum achievable number of citations to the journal based on its resources. The efficiency can then be measured by considering the difference between the actual production and the estimated frontier. This approach is applied to the measurement of the productive efficiency of the journals of the JCR social sciences edition database, which belong simultaneously to the areas of “economics” and “social sciences, mathematical methods”.  相似文献   

3.
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   

4.
The country-wise distribution of papers, which cite certain scientist is a sum of typical distribution for his/her branch of science and excessive citations from one or from a few countries. A new Hirsch-type index h_int is defined as the number of countries, h_int, from which at least h_int papers cite certain scientist, but from the country ranked h_int+1 in citing the scientist, less than h_int+1 papers cite that scientist. The h_int index reflects broad international recognition of a scientist, and prevents overrating of a citation record earned chiefly by self-citations or by citations received from a narrow circle of co-workers.  相似文献   

5.
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   

6.
The number of received citations have been used as an indicator of the impact of academic publications. Developing tools to find papers that have the potential to become highly-cited has recently attracted increasing scientific attention. Topics of concern by scholars may change over time in accordance with research trends, resulting in changes in received citations. Author-defined keywords, title and abstract provide valuable information about a research article. This study performs a latent Dirichlet allocation technique to extract topics and keywords from articles; five keyword popularity (KP) features are defined as indicators of emerging trends of articles. Binary classification models are utilized to predict papers that were highly-cited or less highly-cited by a number of supervised learning techniques. We empirically compare KP features of articles with other commonly used journal-related and author-related features proposed in previous studies. The results show that, with KP features, the prediction models are more effective than those with journal and/or author features, especially in the management information system discipline.  相似文献   

7.
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   

8.
The aim of this study was to develop a model to evaluate the retrieval quality of search queries performed by Dutch general practitioners using the printed Index Medicus, MEDLINE on CD-ROM, and MEDLINE through GRATEFUL MED. Four search queries related to general practice were formulated for a continuing medical education course in literature searching. The selected potential relevant citations from the course instructor and the 103 course participants together served as the basic set for the three judges to evaluate for (a) relevance and (b) quality, with the latter based on journal ranking, research design and publication type. Relevant individual citations received a citation quality score from 1 (low) to 4 (high). The overall search quality was expressed in a formula, which included the individual citation quality score of the selected and missed relevant citations, and the number of selected non-relevant citations. The outcome measures were the number and quality of relevant citations and agreement between the judges. Out of 864 citations, 139 were assessed as relevant, of which 44 citations received an individual citation quality score of 1, 76 of 2, 19 of 3 and none of 4. The level of agreement between the judges was 68% for the relevant citations, and 88% for the non-relevant citations. We describe a model for the evaluation of search queries based not only on the relevance, but also on the quality of the citations retrieved. With adaptation, this model could be generalized to other professional users, and to other bibliographic sources.  相似文献   

9.
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   

10.
《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   

11.
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   

12.
The journal impact factor (JIF) is the average of the number of citations of the papers published in a journal, calculated according to a specific formula; it is extensively used for the evaluation of research and researchers. The method assumes that all papers in a journal have the same scientific merit, which is measured by the JIF of the publishing journal. This implies that the number of citations measures scientific merits but the JIF does not evaluate each individual paper by its own number of citations. Therefore, in the comparative evaluation of two papers, the use of the JIF implies a risk of failure, which occurs when a paper in the journal with the lower JIF is compared to another with fewer citations in the journal with the higher JIF. To quantify this risk of failure, this study calculates the failure probabilities, taking advantage of the lognormal distribution of citations. In two journals whose JIFs are ten-fold different, the failure probability is low. However, in most cases when two papers are compared, the JIFs of the journals are not so different. Then, the failure probability can be close to 0.5, which is equivalent to evaluating by coin flipping.  相似文献   

13.
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   

14.
对h指数的研究和探索已经成为科学计量学和科技评价研究的前沿领域之一,但是单纯的数学研究方法可能因更多关注数量方面（包括被引次数与被引论文数）的直接比较,而忽视其内在价值的变化。文章引入价值理论对h指数解读和分析,并在此基础上对目前流行的h型指数进行了比较。  相似文献   

15.
This paper presents the bibliometric characteristics of 32 biomedical open access journals published by Academic Journals and International Research Journals – the two Nigerian publishers in Jeffery Beall's list of 23 predatory open access publishers in 2012. Data about the journals and the authors of their articles were collected from the websites of the publishers, Google Scholar and Web of Science. As at December 2012, the journals had together produced a total of 5,601 papers written by 5,599 authors, and received 12,596 citations. Authors from Asia accounted for 56.79% of the publications; those from Africa wrote 28.35% while Europe contributed 7.78%. Authors from Africa accounted for 18.25% of the citations these journals received, and this is about one‐third the number of citations by authors in Asia (54.62%). At country level, India ranks first in the top 10 citer countries, while Nigeria, the host country of the journals, ranked eighth. More in‐depth studies are required to develop further information about the journals such as how much scientific information the journals contain, as well as the science literacy of the authors and the editorial.  相似文献   

16.
Rankings of journals and rankings of scientists are usually discussed separately. We argue that a consistent approach to both rankings is desirable because both the quality of a journal and the quality of a scientist depend on the papers it/he publishes. We present a pair of consistent rankings (impact factor for the journals and total number of citations for the authors) and we provide an axiomatic characterization thereof.  相似文献   

17.
A proposal is made in this paper for a broadening of perspective in evaluative bibliometrics by complementing the (standard) times cited with a cited reference analysis for a field-specific citation impact measurement. The times cited approach counts the citations of a given publication set. In contrast, we change the perspective and start by selecting all papers dealing with a specific research topic or field (the example in this study is research on Aspirin). Then we extract all cited references from the papers of this field-specific publication set and analyse which papers, scientists, and journals have been cited most often. In this study, we use the Chemical Abstracts registry number to select the publications for a specific field. However, the cited reference approach can be used with any other field classification system proposed up to now.  相似文献   

18.
《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   

19.
Incorporating fresh members into teams is considered a pathway to team creativity. However, whether freshness improves team performance or not remains unclear, as well as the optimal involvement of fresh members for team performance. Focusing on team impact, one important dimension of team performance, this study uses a group of authors on the byline of a publication as a proxy for a scientific team and quantifies team impact by citations of a paper authored by this team, i.e., article team impact. We extend an indicator, i.e., article team freshness, to measure the extent to which a scientific team incorporates new members, by calculating the fraction of new collaboration relations established within the team. Based on more than 43 million scientific publications covering more than a half-century of research from Microsoft Academic Graph, this study provides a holistic picture of the current development of article team freshness by outlining the temporal evolution of freshness, and its disciplinary distribution. Subsequently, using a multivariable regression approach, we examine the association between article team freshness and papers’ short-term and long-term citations. The major findings are as follows: (1) article team freshness in scientific teams has been increasing in the past half-century; (2) there exists an inverted-U-shaped association between article team freshness and papers’ citations in all the disciplines and different periods; (3) article team impact is hampered by article team freshness in small-sized teams, while medium-sized and large-sized teams can benefit more from article team freshness before the fraction of new collaboration reaches its turning point. The findings of this study provide implications for the practice of team formation and team management in science.  相似文献   

20.
The Hirsch index and the Egghe index are both numbers that synthesize a researcher's output. The h-index associated with researcher r is the maximum number h such that r has h papers with at least h citations each. The g-index is the maximum number g of papers by r such that the average number of citations of the g papers is at least g. Both indices are characterized in terms of four axioms. One identifies outputs deserving index at most one. A second one establishes a strong monotonicity condition. A third one requires the index to satisfy a property of subadditivity. The last one consists of a monotonicity condition, for the h-index, and an aggregate monotonicity condition, for the g-index.  相似文献   

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