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《The Journal of Academic Librarianship》2022,48(1):102484
Although there are at least six dimensions of journal quality, Beall's List identifies predatory Open Access journals based almost entirely on their adherence to procedural norms. The journals identified as predatory by one standard may be regarded as legitimate by other standards. This study examines the scholarly impact of the 58 accounting journals on Beall's List, calculating citations per article and estimating CiteScore percentile using Google Scholar data for more than 13,000 articles published from 2015 through 2018. Most Beall's List accounting journals have only modest citation impact, with an average estimated CiteScore in the 11th percentile among Scopus accounting journals. Some have a substantially greater impact, however. Six journals have estimated CiteScores at or above the 25th percentile, and two have scores at or above the 30th percentile. Moreover, there is considerable variation in citation impact among the articles within each journal, and high-impact articles (cited up to several hundred times) have appeared even in some of the Beall's List accounting journals with low citation rates. Further research is needed to determine how well the citing journals are integrated into the disciplinary citation network—whether the citing journals are themselves reputable or not. 相似文献
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文章通过Scopus数据库和SciVal分析平台,统计分析首批入选“中国科技期刊卓越行动计划”高校自然科学学报的载文量、总被引频次、篇均被引频次、高被引论文比、零被引论文比、中国学者引用贡献率、CiteScore及其百分位、发文的专业化程度等指标,定量展示入选的高校自然科学学报的国际影响力现状及差异。研究结果表明,入选的中文学报国际影响力有限,不宜过分强调国际化;入选的英文学报国际影响力有很大提升空间,提倡立足于本土的国际化;中文和英文学报均应凸显专业化特征,坚持高质量发展。 相似文献
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《Journal of Informetrics》2019,13(1):419-433
Publication, hiring, promotion, tenure, and funding decisions in computer science often depend on an accurate assessment of the quality of conferences. This study reviews relevant literature and tests Scopus’s CiteScore database and method for evaluating the quality of 395 conferences in the field.The study identifies 154 conferences that match the CiteScore ranges of the top quartile journals. These 154 conferences make up 30% of all 515 top quartile publication venues in computer science, confirming the notion that publishing in conference proceedings—especially top rated ones—are as important and influential as publishing in top journals. The CiteScore method as implemented here shows that it is highly effective as a benchmark to evaluate and compare publication venues in computer science. Scopus, however, needs to enhance several of its indexing practices before the CiteScore database and method can become standard tools for conference quality assessment. 相似文献
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《Journal of Informetrics》2020,14(4):101079
The rapid development of scientific fields in this modern era has raised the concern for prospective scholars to find a proper research field to conduct their future studies. Thus, having a vision of future could be helpful to pick the right path for doing research and ensuring that it is worth investing in. In this study, we use article keywords of computer science journals and conferences, assigned by INSPEC controlled indexing, to construct a temporal scientific knowledge network. By observing keyword networks snapshots over time, we can utilize the link prediction methods to foresee the future structures of these networks. We use two different approaches for this link prediction problem. First, we have utilized three topology-based link prediction algorithms, two of which are commonly used in literature. We have also proposed a third algorithm based on nodes (keywords) clustering coefficient, their centrality measures like eigenvector centrality, and nodes community information. Then, we used nodes topological features and the outputs of aforementioned topology-based link prediction algorithms as features to feed five machine learning link prediction algorithms (SVM, Random Forest Classifier, K-Nearest Neighbors, Gaussian Naïve Bayes, and Multinomial Naïve Bayes). All tested predictors have shown considerable performance and their results are discussed in this paper. 相似文献
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Jonas Lindahl 《Journal of Informetrics》2018,12(2):518-533
The purpose of this study was to examine the relationship between publication rate, top journal publications and excellence during the first eight years of the career, and how well publication rate, top journal publications and highly cited publications during the first four years of the career can predict whether an author attain excellence in the fifth to the eighth year. The dataset consisted of publication track records of 406 early career mathematicians in the sub-field of number theory collected from the MathSciNet database. Logistic regression and dominance analysis was applied to the data. The major conclusions were (1) publication rate had a positive effect on excellence during the first eighth years of the career. However, those who publish many articles in top journals, which implicitly require a high publication count, had an even higher probability of attaining excellence. These results suggest that publishing in top journals is very important in the process of attaining excellence in the early career in addition to publishing many papers; and (2) a dominance analysis indicated that the number of top journal publications and highly cited publications during the first four years of the career were the most important predictors of who will attain excellence in the later career. The results are discussed in relation to indicator development and science policy. 相似文献
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本文创新性构建学术论文被引影响因素特征空间,以我校SCI&SSCI学术论文为例,验证机器学习模型在预测学术论文被引频次研究中的有效性和准确性,本文的分析结论可以为高校图书馆开展决策支持服务提供参考。本文梳理学术论文被引频次影响因素及预测方法的相关研究,结合传统文献计量和Altmetrics指标构建学术论文影响因素的特征空间,并通过实验比较线性回归、神经网络、支持向量机三种机器学习模型在预测学术论文被引频次研究中的有效性和准确性。本文的分析结论证明基于Altmetrics视角构建的特征空间的预测准确率大幅度提高,并且支持向量机模型在对学术论文影响力预测的实证研究中表现出优异的性能。 相似文献
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《Journal of Informetrics》2014,8(1):123-135
Journal self-citations strongly affect journal evaluation indicators (such as impact factors) at the meso- and micro-levels, and therefore they are often increased artificially to inflate the evaluation indicators in journal evaluation systems. This coercive self-citation is a form of scientific misconduct that severely undermines the objective authenticity of these indicators. In this study, we developed the feature space for describing journal citation behavior and conducted feature selection by combining GA-Wrapper with RelifF. We also constructed a journal classification model using the logistic regression method to identify normal and abnormal journals. We evaluated the performance of the classification model using journals in three subject areas (BIOLOGY, MATHEMATICS and CHEMISTRY, APPLIED) during 2002–2011 as the test samples and good results were achieved in our experiments. Thus, we developed an effective method for the accurate identification of coercive self-citations. 相似文献
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The public sharing of primary research datasets potentially benefits the research community but is not yet common practice. In this pilot study, we analyzed whether data sharing frequency was associated with funder and publisher requirements, journal impact factor, or investigator experience and impact. Across 397 recent biomedical microarray studies, we found investigators were more likely to publicly share their raw dataset when their study was published in a high-impact journal and when the first or last authors had high levels of career experience and impact. We estimate the USA's National Institutes of Health (NIH) data sharing policy applied to 19% of the studies in our cohort; being subject to the NIH data sharing plan requirement was not found to correlate with increased data sharing behavior in multivariate logistic regression analysis. Studies published in journals that required a database submission accession number as a condition of publication were more likely to share their data, but this trend was not statistically significant. These early results will inform our ongoing larger analysis, and hopefully contribute to the development of more effective data sharing initiatives. 相似文献
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[目的/意义]学术文本结构功能是对学术文献的结构和章节功能的概括，针对当前研究较少从学术文本多层次结构出发进行融合和传统方法依赖人工经验构建规则或特征的问题，本文在对学术文本层次结构进行解析的基础上，构建了多层次融合的学术文本结构功能识别模型。[方法/过程]以ScienceDirect数据集为例进行实验，该模型首先通过深度学习方法对不同层次学术文本进行结构功能识别，接着采用投票方法对不同层次和不同模型的识别结果进行融合。[结果/结论]研究结果表明各层次集成后的整体效果较单一模型均有不同程度提升，综合结果的整体准确率、召回率和F1值分别达到86%、84%和84%，并且深度学习算法在学术文本分类任务中的性能较传统机器学习算法SVM更优，最后对学术文本结构功能错分情况进行了分析，指出本研究潜在的应用领域和下一步的研究方向。 相似文献
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历史影响因子:一个新的学术期刊存量评价指标 总被引：3，自引：0，他引：3
[目的/意义]期刊评价指标是期刊某个视角水平的综合体现,因此有必要必须不断深化和发展;提出一个新的期刊存量指标--历史影响因子,就是期刊总被引频次除以载文量再除以办刊年限。[方法/过程]以科技管理类期刊为例,基于中国知网数据库CNKI,采用相关系数、聚类分析、岭回归进行了实证。[结果/结论]研究表明,历史影响因子兼有影响因子和h指数的优点,克服了传统期刊评价指标存量指标过少、不考虑期刊办刊时间、不考虑期刊载文数量等局限,是一个较好的期刊评价指标。历史影响因子没有考虑期刊自引问题,而且不同的引文数据库对历史影响因子的影响也比较大,在具体应用时可根据需要排除自引或选择其他引文数据库。 相似文献
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《Journal of Informetrics》2022,16(2):101288
Research articles are being shared in increasing numbers on multiple online platforms. Although the scholarly impact of these articles has been widely studied, the online interest determined by how long the research articles are shared online remains unclear. Being cognizant of how long a research article is mentioned online could be valuable information to the researchers. In this paper, we analyzed multiple social media platforms on which users share and/or discuss scholarly articles. We built three clusters for papers, based on the number of yearly online mentions having publication dates ranging from the year 1920 to 2016. Using the online social media metrics for each of these three clusters, we built machine learning models to predict the long-term online interest in research articles. We addressed the prediction task with two different approaches: regression and classification. For the regression approach, the Multi-Layer Perceptron model performed best, and for the classification approach, the tree-based models performed better than other models. We found that old articles are most evident in the contexts of economics and industry (i.e., patents). In contrast, recently published articles are most evident in research platforms (i.e., Mendeley) followed by social media platforms (i.e., Twitter). 相似文献
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我国免费网络杂志探析 总被引：5，自引：0，他引：5
随着Internet的不断普及和发展 ,其应用也不断深入、广泛。目前 ,基于Internet的网络出版方兴未艾 ,其中免费网络杂志的流行和发展尤其引人注目。本文介绍网络杂志的内涵、类型 ,描述和分析了我国免费网络杂志的现状、订阅方法 ,探讨了我国中文免费网络杂志的特点和存在的问题 ,指出免费网络杂志正逐步成为网络出版的生力军 相似文献
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《吴医汇讲》:中国第一份中文期刊 总被引：2，自引：2，他引：0
为了澄清究竟哪本期刊是中国第一份中文期刊,我们通过追根溯源,梳理中国期刊发端的史实,否定了某些人宣称的200年前由外国传教士在马来西亚创办的《察世俗每月统记传》为中国第一份中文期刊的主张,以雄辩的史料确认:223年前由国人在苏州创办的《吴医汇讲》才是名副其实的中国第一份中文期刊. 相似文献
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This article describes a program session that focused on publishers’ experiences launching Open Access (OA) journals and lessons learned. The speakers discussed the current journal marketplace, current journal business models, and the possible shape of the OA landscape and marketplace in the future. 相似文献
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采集较大样本量,并引入虚拟变量代表样本期刊是否独家出版,运用相关和回归分析观察独家出版对科技期刊影响因子的影响。相关分析表明,无论是CNKI还是万方独家出版,影响因子与是否独家出版之间均存在显著的负相关性。对包含CNKI独家期刊的数据回归分析显示,虚拟变量前的回归系数虽然为负值但从统计学上看并不显著。对包含万方独家出版的医学期刊的数据回归分析发现,虚拟变量前的系数不仅为负值,而且具有统计学上的显著性,表明万方独家出版引起期刊影响因子降低。结果还显示,若独家出版对影响因子有影响,将非常显著。期刊应慎重考虑是否独家出版。 相似文献
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颠覆性技术是一个具有复杂的内在结构的技术群。从空间维度来看,颠覆性技术是包含了主导技术、辅助技术、支撑技术的复杂技术群,涉及多学科、多领域。在此背景下,运用科学计量的方法对颠覆性技术进行科技评价和科学技术演变规律探索面临挑战,实质表现为数据检索。本文探索了一种基于机器学习的专利数据集构建新策略,将专利检索任务作为机器学习的二分类任务,类似于信息检索中基于主动学习的查询分类思想,并提出了将F-measure特征最大化方法与CNN(convolutional neural networks)模型相结合的文本分类改进方法。本文以人工智能(artificial intelligence,AI)技术域为例进行训练实验,实验结果的准确率、召回率和F1值分别达到98.01%、97.04%和97.89%,这表明本文提出的策略能够精准地识别人工智能专利,提高了专利检索的准确率和召回率,以利于构建精、准、全的人工智能技术域专利数据集。 相似文献