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1.
《Research Policy》2019,48(9):103834
This study empirically examines the association between the extent of emerging technological ideas in a scientific publication and its future scientific impact measured by number of citations. We analyze metadata of scientific publications in three scientific domains: Nano-Enabled Drug Delivery, Synthetic Biology, and Autonomous Vehicles. By employing a bibliometric indicator for identifying and quantifying emerging technological ideas – as derived terms from the titles and abstracts – we measure the extent to which the publication contains emerging technological ideas in each domain. Then, we statistically estimate the size and statistical significance of the relationship between the publication-level technological emergence score and the normalized number of citations accruing to the publication.Our analysis shows that the degree to which a paper contains technologically emerging ideas is positively and strongly associated with its future citation impact in each of the three domains. An additional analysis demonstrates that this relationship holds for citations from other publications, both in the same field as, and in different fields from, the scientific domain of the focal publication. A series of tests for validation further support our argument that the greater the extent to which scientific knowledge (a paper) contains emerging ideas, the bigger its scientific impact. Implications for academic researchers, research policymakers, and firms are discussed. 相似文献
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[目的/意义]论文发表时间和所属学科的不同会对论文在后续的引文产生稀释效应的影响,发生在不同时间的引文也代表了不同的学术价值。从时序动态的视角设计一种学术影响力的评价指标,消除稀释效应的影响并能够体现不同时期的引文价值。[方法/过程]引入参考文献集合的篇均被引次数作为论文集合的基准值,消除由于发表时间和所属学科不同造成的稀释效应,进而再对不同统计时间点的被引次数赋予不同的权重,用以表征发生在不同时期的引文的不同价值。[结果/结论]以四川大学为例,选取ESI学科和研究人员作为评价对象进行实证研究,结果表明这一指标可以对学术影响力发展趋势不同的研究实体进行有效的区分。 相似文献
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【目的/意义】为更加公正地评价科研团队的影响力,针对当前科研团队评价中对引文分布偏态问题的忽
视,本文提出一种新的科研团队影响力评价指标——科研团队被引均衡性指标（Cited Balance,简称Cb指标）。【方
法/过程】首先,利用社会化网络分析方法（Social Network Analysis,简称SNA）获取10个科研团队及其成员;然后,
在中国引文数据库中分别下载科研团队发表文章的被引信息;最后,利用修正的泰尔指数衡量科研团队文献被引
分布的均衡性,计算科研团队的Cb值。【结果/结论】实证研究发现,新指标Cb能够综合考虑团队的发文量、被引频
次和文献被引的均衡性,对科研团队影响力评价更加全面、公正。【创新/局限】被引均衡性Cb指标为科研团队影响
力评价提供了一种新方法,但未来仍需对该指标做进一步的检验。 相似文献
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《Information processing & management》2020,57(2):102168
Citation analysis does not tell the whole story about the innovativeness of scientific papers. Works by prominent authors tend to receive disproportionately many citations, while publications by less well-known researchers covering the same topics may not attract as much attention. In this paper we address the shortcomings of traditional scientometric approaches by proposing a novel method that utilizes a classifier for predicting publication years based on latent topic distributions. We then calculate real-number innovation scores used to identify potential breakthrough papers and turnaround years. The proposed approach can complement existing citation-based measures of article importance and author contribution analysis; it opens as well novel research direction for time-based, innovation-centered research scientific output evaluation. In our experiments, we focus on two corpora of research papers published over several decades at two well-established conferences: The World Wide Web Conference (WWW) and the International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), containing around 3500 documents in total. We indicate significant years and demonstrate examples of highly-ranked papers, thus providing a novel insight on the evolution of the two conferences. Finally, we compare our results to citation analysis and discuss how our approach may complement traditional scientometrics. 相似文献
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《Information processing & management》2022,59(2):102799
Previous studies have confirmed that citation mention and location reveal different contributions of the cited articles, and that both are significant in scientific research evaluation. However, traditional citation count prediction only focuses on predicting citation frequency. In this paper, we propose a novel fine-grained citation count prediction task (FGCCP), which aims to predict in-text citation count from each structural function of a paper separately. Specifically, we treated this task as a “sequence to sequence” issue and a multi-task learning job, in which both the inputs and the outputs are based on the sequence pattern of citations from different structural functions. To fulfill FGCCP, we proposed a transformer-based model (i.e. MTAT) in which a novel among-attention mechanism is employed. Based on an empirical study of full-text documents from PubMed Central Open Access Subset, our model achieves satisfactory prediction accuracy, and surpasses common machine learning and deep learning models on FGCCP. Moreover, we also discuss the potential role of the among-attention mechanism and the reason why our proposed model outperforms state-of-the-art strategies. FGCCP may provide more detailed decision-making evidence and evaluation basis for researchers in scientific research evaluation. In addition, MTAT is a general model which can be easily deployed in other multi-task learning jobs. 相似文献
6.
《Research Policy》2019,48(7):1771-1780
Science’s main norms prescribe scientists to use citations as acknowledgements of cognitive content irrespective of geographical location. Previous studies, however, suggested that there is a considerable geographical bias in scientific citations. We argue that this geographical bias does not, in itself, falsify the notion that citations reflect acknowledgement of cognitive content, because cognitively related knowledge may be geographically concentrated as well. We analyse the role of organizational, regional and national co-location on citation likelihood for 5.5 million article pairs, and find that the geographical bias in citations is weak once cognitive relatedness is accounted for. Furthermore, we find that the effect of co-location on citation likelihood is strongest at the organizational level, weaker at the regional level, and weakest at the national level. In addition, we show that geographical co-location particularly increases the citation likelihood between two papers when knowledge relatedness between articles is low, suggesting that interdisciplinary research benefits most from co-location. Finally, we find that, when knowledge relatedness is high, the effect of geographical co-location on citation likelihood is non-existent. We discuss the implications regarding policies aimed to discourage strategic citations and to foster interdisciplinary research. 相似文献
7.
The paper attempts to provide an alternative method for measuring the importance of scientific papers based on the Google’s PageRank. The method is a meaningful extension of the common integer counting of citations and is then experimented for bringing PageRank to the citation analysis in a large citation network. It offers a more integrated picture of the publications’ influence in a specific field. We firstly calculate the PageRanks of scientific papers. The distributional characteristics and comparison with the traditionally used number of citations are then analyzed in detail. Furthermore, the PageRank is implemented in the evaluation of research influence for several countries in the field of Biochemistry and Molecular Biology during the time period of 2000–2005. Finally, some advantages of bringing PageRank to the citation analysis are concluded. 相似文献
8.
传统期刊论文评价工作关注的是论文内部特征和引用情况,从新的视角提出以文献的利用数据(包括网页点击量、浏览量、下载量)及调整指标(点击下载率、下载引用率)来综合评价一篇文章的表现力,并利用《PLoS Biology》与F1000系统数据做了实证分析,证明了上述指标的可行性,其表现也优于被引这一单一指标. 相似文献
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《Research Policy》2022,51(4):104484
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical citations then their citation counts may reflect rhetorical usefulness more than influence. Alternatively, researchers may perceive highly cited papers to be of higher quality and invest more effort into reading them, leading to disproportionately substantive citations. We test these arguments using data on 17,154 randomly sampled citations collected via surveys from 9,380 corresponding authors in 15 fields. We find that most citations (54%) had little-to-no influence on the citing authors. However, citations to the most highly cited papers were 2–3 times more likely to denote substantial influence. Experimental and correlational data show a key mechanism: displaying low citation counts lowers perceptions of a paper's quality, and papers with poor perceived quality are read more superficially. The results suggest that higher citation counts lead to more meaningful engagement from readers and, consequently, the most highly cited papers influence the research frontier much more than their raw citation counts imply. 相似文献
10.
真实性、准确性、直接性与完整性是引用参考文献的首要准则,然而种种研究表明,当前的研究论著中引而不注、过度引用、模糊标注甚至虚假引用等不当引用行为日渐增多,这极大地影响了科学研究领域的学术风气,给读者阅读、期刊审稿及成果评定等工作带来了许多不便。本文利用文本相似度算法建立期刊引文有效性识别方法,试图从海量期刊引文数据中识别出期刊引文的真实有效性。实验表明,本文的期刊引文有效性识别方法在引文有效性方面实现了较好的识别效果,可为虚假引文的识别工作提供可靠的依据,从而为编辑人员发现、修正虚假引用问题提供帮助,彰显科学研究的严谨务实精神。 相似文献
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本次研究在P指数基础上，提出了时间——引文分布下学者学术评价Py指数。具体而言，基于文献引文分布，结合文献被引频次阈值、文献被引半衰期阈值，构建时间——引文分布下的论文分区，即普通论文、潜力论文、热门论文、经典论文。根据4种分区论文影响力差异性，按照普通论文、潜力论文、热门论文、经典论文影响力递增原则，设计论文被引频次递增权值，提出Py公式。以CNKI平台2000-2017年图情领域核心论文被引频次前100位作者数据进行实证分析，讨论Py指数表现。结果表明：Py指数能从论文本身的价值与影响去反映学者的学术成就，凸显优质论文相比普通论文所带来的更强的学术肯定意义；Py指数区分度、灵敏度、公平公正性、有效性与科学性方面较H指数、P指数表现更佳。 相似文献
12.
Darshak PatelMichael R. Ward 《Research Policy》2011,40(6):886-894
We propose an empirical strategy to estimate competition in innovation markets. Our method relates firms’ market return on equity to information about patent citation patterns. Two innovations are implemented in the methodology. First is the application of daily abnormal stock returns rather than annual measures of Tobin's q. Second is the creation of citation patterns related to the area of science a firm patents in as represented by the detailed patent classification system. We find that markets positively reward firms when patents are granted. We further find that firm's market value increases when its patent portfolio is cited. We find evidence of competition in innovation markets. The market reacts at the time that the citation occurs and does not anticipate future citations at the time of patenting. Holding this effect constant, we find that citations from patents in the same area of science tend to reduce market value. We interpret these findings as consistent with more citations indicating more valuable intellectual property but citations from competing technologies decreasing it. 相似文献
13.
《Information processing & management》2016,52(4):698-719
In this paper, we focus on the problem of automatically generating amplified scientific paper’s abstract which represents the most influential aspects of scientific paper. The influential aspects can be illustrated by the target scientific paper’s abstract and citation sentences discussing the target paper, which are provided in papers citing the target paper. In this paper, we extract representative sentences through data-weighted reconstruction approach(DWR) by jointly leveraging target scientific paper’s abstract and citation sentences’ content and structure. In our study, we make two-folded contributions.Firstly, sentence’s weight was learned by exploiting regularization for ranking on heterogeneous bibliographic network. Specially, Sentences-similar-Sentences relationship was identified by language modeling-based approach and added to the bibliographic network. Secondly, a data-weighted reconstruction objective function is optimized to select the most representative sentences which reconstructs the original sentence set with minimum error. In this process, sentences’ weight plays a critical role. Experimental evaluation over real dataset confirms the effectiveness of our approach. 相似文献
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《Research Policy》2023,52(5):104753
In the span of three years, Indonesia went from being the second worst to the top producer of scientific journal articles in Southeast Asia. We investigate whether a transparent system of ranking every single researcher in the country based on publications and citations (SINTA) contributed to this turnaround. Using panel data from over 200,000 Indonesian researchers (and comparing to researchers from Thailand and the Philippines), we show that the implementation of SINTA coincides with changes in the production of publications by Indonesian researchers consistent with the weights used in the ranking formula. Although we see modest improvements in publication rates in top-ranked journals, 62 % of the observed increase in total publications is from conference proceedings. Because SINTA was launched around the same time as other policies that focused on increasing publications, isolating the precise impact of SINTA remains challenging. Nevertheless, after accounting for such policies, our results imply that a ranking and evaluation system for researchers can contribute to overall improvements in scientific capacity in low- and middle-income countries. 相似文献
16.
《Information processing & management》2022,59(4):102996
Although the citation relationships among papers can help in tracking and understanding the development of knowledge, few studies have noted that the content and sentiments of citations of a paper differ. Here, we use sentiment-labeled citation data to construct a directed signed citation network, in which an author may agree with or criticize the cited paper and these represent different ways of inheriting knowledge. The dataset we use consists of 9,038 papers in the field of Computational Linguistics, including 25,275 citations, with 20.8% positive citations, 8.6% negative citations and 70.6% neutral citations. We systematically quantify the structural patterns of negative citations, impact assortativity of involved papers, occurrence time distribution and consequences of receiving negative attention. Remarkably, we find that papers with different impacts have a similar probability of receiving negative citations, and highly cited papers tend to give negative citations to low-impact papers around but avoid giving negative citations to high-impact papers. Our research also reveals the random occurrence rules and colocation patterns of negative citation distribution. In addition, we show that, in the short term, around 60% of multiple negative citations is positively related to the impact of the cited paper while more than 80% are negatively related to the impact in the long run. Our findings explain the pattern by which negative citations occur and deepen the understanding of negative citations. 相似文献
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In both the UK and Australia there has been a recent move to use citation analysis in the evaluation of the research of individuals. In particular, the future UK Research Excellence Framework (REF), proposes using citation data in the research evaluation of articles published as recently as the year prior to the evaluation. In response to this move, this research develops an indicator at the level of individual articles that, when normalized, can supplement peer review. The new hybrid indicator is the weighted sum of two indicators in common usage: the article’s total number of citations in a citation window, and the Impact Factor of the journal in which the article was published. This research compares this new indicator with the article’s total number of citations in a longer citation window (the standard indicator of article impact). For citation windows of 0 or 1 years, the correlation of the simplified weighted sum with long-term citation is substantially higher than the correlation of the standard indicator of article citation with long-term citation. Moreover, for citation windows of as long as 3 years the standard indicator of citation correlates significantly with the month of publication, in that articles published earlier in the year are on average more highly cited than those published later in the year. By contrast, the skewing of the simplified weighted sum towards articles published early in the year is considerably less than that of the standard indicator. 相似文献
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我国与世界主要国家科研论文产出的计量比较分析——基于学科专业化和标准引文影响二维视角 总被引：1，自引：0，他引：1
以ESI数据库为数据来源,从学科相对产出和相对引文影响比较分析了中国与世界主要国家的科研论文产出,并进一步考虑论文产出和引文影响在学科之间的非均衡分布,从学科专业化和标准引文影响两个维度刻画我国与世界主要国家科研论文产出的相对位置。发现中国科研论文总数虽已居世界第二,但与世界主要国家相比,科研论文质量存在较大差距,学科结构布局也存在一定差异。当前,中国正处于从学科专业化指标值=0.5、标准引文影响指标值=0.6向学科专业化指标值=0.35、标准引文影响指标值=1.2双重跃迁的关键时期。本文研究方法及结论对于认清中国在世界科学研究领域中的地位具有一定的补充和警示作用。 相似文献
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基于F论文评审意见的优秀论文特征识别 《科学学研究》2017,35(3):331-337
论文质量是实现科技工作者评价的重要指标。目前,论文质量的评价主要基于论文的被引频次和发表期刊共两种方式,而被引频次统计的滞后性和“以刊评文”的片面性,都影响了单篇论文质量评价中的科学性和准确性。文章以我国入选F5000论文的6019篇论文为样本,通过对专家评审意见进行知识图谱和共词分析,探索优秀论文评审的关键词特征,通过分析总结了优秀论文在创新、价值、内容及写作方面的特征,不仅为识别优秀论文提供了方法支撑,也为论文质量评价和学者学术评价提供新的思路和参考。 相似文献