Journal of Informetrics最新文献_第6页

Corrigendum to “Automated generation of research workflows from academic papers: a full-text mining framework” [Journal of Informetrics, 19 (2025) 101732] “从学术论文中自动生成研究工作流：一个全文挖掘框架”的勘误表[Journal of informmetrics， 19 (2025) 101732]

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-10-18 DOI: 10.1016/j.joi.2025.101735

Heng Zhang , Chengzhi Zhang

引用次数: 0

Enhancing the prediction of publications’ long-term impact using early citations, readerships, and non-scientific factors 利用早期引用、读者和非科学因素加强对出版物长期影响的预测

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-08-28 DOI: 10.1016/j.joi.2025.101725

Giovanni Abramo , Tindaro Cicero , Ciriaco Andrea D’Angelo

This study aims to improve the accuracy of long-term citation impact prediction by integrating early citation counts, Mendeley readership, and various non-scientific factors, such as journal impact factor, authorship and reference list characteristics, funding and open-access status. Traditional citation-based models often fall short by relying solely on early citations, which may not capture broader indicators of a publication’s potential influence. By incorporating non-scientific predictors, this model provides a more nuanced and comprehensive framework that outperforms existing models in predicting long-term impact. Using a dataset of Italian-authored publications from the Web of Science, regression models were developed to evaluate the impact of these predictors over time. Results indicate that early citations and Mendeley readership are significant predictors of long-term impact, with additional contributions from factors like authorship diversity and journal impact factor. The study finds that open-access status and funding have diminishing predictive power over time, suggesting their influence is primarily short-term. This model benefits various stakeholders, including funders and policymakers, by offering timely and more accurate assessments of emerging research. Future research could extend this model by incorporating broader altmetrics and expanding its application to other disciplines and regions. The study concludes that integrating non-citation-based factors with early citations captures a more complex view of scholarly impact, aligning better with real-world research influence.

本研究旨在通过整合早期引文计数、Mendeley读者数以及期刊影响因子、作者和参考文献列表特征、资助和开放获取状况等多种非科学因素，提高长期引文影响预测的准确性。传统的基于引用的模型往往仅仅依赖于早期引用，这可能无法捕捉到出版物潜在影响力的更广泛指标。通过纳入非科学预测因素，该模型提供了一个更细致和全面的框架，在预测长期影响方面优于现有模型。利用来自Web of Science的由意大利人撰写的出版物的数据集，开发了回归模型来评估这些预测因子随时间的影响。结果表明，早期引用和Mendeley读者群是长期影响的重要预测因子，作者多样性和期刊影响因子等因素也有贡献。研究发现，随着时间的推移，开放获取的地位和资助的预测能力正在减弱，这表明它们的影响主要是短期的。这种模式通过对新兴研究提供及时和更准确的评估，使包括资助者和决策者在内的各种利益攸关方受益。未来的研究可以通过纳入更广泛的替代指标并将其应用于其他学科和地区来扩展这一模型。该研究的结论是，将非引用因素与早期引用相结合，可以更复杂地反映学术影响，更好地与现实世界的研究影响保持一致。

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引用次数: 0

Tracking author affiliation drift: A matrix-based method for identifying temporal patterns 追踪作者从属关系漂移：一种基于矩阵的识别时间模式的方法

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-11-11 DOI: 10.1016/j.joi.2025.101748

Chun-Chieh Wang , Szu-Chia Lo , Mu-Hsuan Huang , Dar-Zen Chen

This study presents a matrix-based framework for tracking and classifying researcher affiliation drifting, with a particular focus on multi-country co-affiliations. By structuring author-affiliation data into time-sequenced matrices, the method captures both the persistence and configuration of institutional ties within individual publications. Each paper is categorized based on the types of co-affiliated countries, and researchers are subsequently classified into field-independent typologies reflecting the degree and structure of their institutional mobility. Applied to a dataset of Highly Cited Researchers (HCRs) in mathematics, the framework reveals notable affiliation patterns—most prominently, a high concentration of researchers exhibiting simultaneous affiliations across multiple countries without transitional or exploratory affiliation types. These observations demonstrate the method’s utility in surfacing affiliation structures that may not be visible through conventional bibliometric indicators. While the mathematics domain serves only as an implementation example, the results echo broader concerns about the strategic use of multi-affiliations in certain fields. The proposed approach contributes a replicable, scalable tool for analyzing affiliation dynamics, with implications for bibliometric research, institutional evaluation, and science policy.

本研究提出了一个基于矩阵的框架，用于跟踪和分类研究人员隶属关系漂移，特别关注多国联合隶属关系。通过将作者关系数据结构化到时间顺序的矩阵中，该方法可以捕获单个出版物中机构关系的持久性和配置。每篇论文都是根据共同附属国家的类型进行分类的，研究人员随后被划分为反映其制度流动性程度和结构的领域独立类型。应用于数学领域的高被引研究者（hcr）数据集，该框架揭示了显著的隶属关系模式——最突出的是，研究人员高度集中，在多个国家同时表现出隶属关系，没有过渡性或探索性的隶属关系类型。这些观察结果表明，该方法的实用性，在表面隶属关系结构，可能不可见通过传统的文献计量指标。虽然数学领域仅作为一个实现示例，但结果反映了在某些领域中战略性地使用多隶属关系的更广泛的关注。提出的方法为分析隶属关系动态提供了一个可复制的、可扩展的工具，对文献计量学研究、机构评估和科学政策都有影响。

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引用次数: 0

Innovation lineage structure: A graph structure in publications of scholars and its association with disruptiveness 创新谱系结构：学者论文中的图表结构及其与破坏性的关系

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-09-10 DOI: 10.1016/j.joi.2025.101730

Xian Li , Haixing Du , Yi Bu , Mingshu Ai , Junjie Huang , Tao Jia

Numerous factors have been associated with disruptive research that dramatically drives scientific development. However, few studies have explored the issue from the perspective of the publication structures of scholars. To fill the gap, we identified a graph publication structure, termed innovation lineage structure, from 110,488,521 publications in the OpenAlex database authored by 1523,664 scholars who began their careers in 1980 or later. Using logistic regression models, we found that publications within these structures were more disruptive than those outside. This finding remained robust across different disruptiveness measures, scholars of various genders, and within the natural and engineering sciences. Informed by career stages and knowledge diversity, we observed that scholars adopted exploration research strategies for research within their innovation lineage structures, leading to more disruptive impacts. The proposed innovation lineage structures are associated with disruptiveness and offer insights for scholars seeking greater impact, highlighting that publications grounded in novel work and characterized by persistent innovation are more likely to be disruptive.

许多因素与颠覆性研究有关，这些研究极大地推动了科学发展。然而，很少有研究从学者发表结构的角度来探讨这一问题。为了填补这一空白，我们从OpenAlex数据库中的110,488,521篇论文中确定了一个图表出版结构，称为创新谱系结构，这些论文由1523,664名学者撰写，他们在1980年或之后开始他们的职业生涯。使用逻辑回归模型，我们发现这些结构内的出版物比外部的更具破坏性。这一发现在不同的破坏性衡量标准、不同性别的学者以及自然科学和工程科学领域都是强有力的。研究发现，受职业阶段和知识多样性的影响，学者在创新谱系结构中采用探索性研究策略，从而产生更大的破坏性影响。提出的创新谱系结构与破坏性有关，并为寻求更大影响的学者提供了见解，强调以新颖工作为基础并以持续创新为特征的出版物更有可能具有破坏性。

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引用次数: 0

Mapping science and revealing disciplinary communication modalities via pre-trained graph neural networks 通过预训练的图神经网络映射科学和揭示学科交流模式

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-10-28 DOI: 10.1016/j.joi.2025.101741

Yujie Zhang , Guoxiu He , Zhuoren Jiang

Current studies predominantly highlight the growing intersections among disciplines but lack insights into more nuanced aspects of science communication. This work investigates disciplinary communication through two metrics: interactivity, defined as the product of knowledge absorption and diffusion, capturing the overall breadth of knowledge interaction; and radiation, the ratio of outward diffusion to absorption, reflecting the relative tendency to export knowledge. To achieve this, we encode the disciplinary information of each paper as a continuous vector by pre-trained graph neural networks on extensive academic data. The metrics are derived from the distances computed using the paper vectors. We categorize the disciplines into four quadrants: “exposed,” “absorptive,” “service,” and “hermetic”, based on the two metrics. Our findings indicate that life-related sciences (medicine, neuroscience) are “exposed,” with open characteristics. Formal sciences (mathematics, physics and astronomy) are “hermetic,” with limited interaction breadth and radiation capacity. Chemistry, business and management are “absorptive,” focusing on knowledge absorption with limited dissemination. Engineering and Energy are “service-oriented,” centered on transformation and connecting. Our findings and computational methods could contribute to a better understanding of scientific communication systems.

目前的研究主要强调学科之间日益增长的交叉，但缺乏对科学传播更细微方面的见解。这项工作通过两个指标来调查学科交流：互动性，定义为知识吸收和扩散的产物，捕捉知识互动的整体广度；辐射，向外扩散与吸收的比率，反映了知识输出的相对倾向。为了实现这一点，我们在广泛的学术数据上通过预训练的图神经网络将每篇论文的学科信息编码为连续向量。度量是从使用纸向量计算的距离中导出的。我们将学科分为四个象限：“暴露的”、“吸收的”、“服务的”和“密封的”，基于这两个指标。我们的研究结果表明，与生命相关的科学（医学、神经科学）是“暴露的”，具有开放的特征。形式科学（数学、物理和天文学）是“封闭的”，相互作用的广度和辐射能力有限。化学、商业和管理是“吸收性的”，注重知识的吸收，传播有限。工程和能源是“面向服务”的，以转化和连接为中心。我们的发现和计算方法有助于更好地理解科学传播系统。

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引用次数: 0

Unfinished grants, unending progress: The impact of unfinished research grants on scientific innovation 未完成的资助，永无止境的进步：未完成的研究资助对科学创新的影响

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-11-01 Epub Date: 2025-10-08 DOI: 10.1016/j.joi.2025.101734

Jiangyang Fu , Xin Liu , Chenwei Zhang , Jiang Li

Scientists may not fulfill the objectives delineated within their research proposals subsequent to the receipt of funding. The extent to which unfinished grants enhance scientific knowledge remains an open question. Drawing upon a dataset from the Research Grants Council of Hong Kong (RGC) that encompasses the years 2010 to 2020, and is distinguished by its inclusion of self-reported grant completion rates, this study seeks to assess the potential contributions of research grants that were not fully completed to the progress of scientific knowledge. The analysis is conducted by leveraging the RGC's detailed records of project completion rates. The results indicate that, notwithstanding a relative lack in productivity and impact, there is no evidence that unfinished grants generate knowledge that is less disruptive than that produced by completed grants. Consequently, it is suggested that funding bodies should consider revising their assessment criteria to recognize the intrinsic merit of grants that are traditionally labeled as unfinished, thus providing more flexibility for the exploration of novel research domains within the grant allocation process.

在收到资助后，科学家可能无法完成其研究计划中所描述的目标。未完成的拨款能在多大程度上增进科学知识，这仍是一个悬而未决的问题。根据香港研究资助局（研资局）2010年至2020年的数据集，本研究旨在评估尚未完全完成的研究资助对科学知识进步的潜在贡献，其特点是纳入了自我报告的资助完成率。这项分析是根据研资局有关项目完成率的详细记录进行的。结果表明，尽管生产力和影响相对缺乏，但没有证据表明未完成的资助产生的知识比完成的资助产生的知识更具破坏性。因此，建议资助机构应考虑修改其评估标准，以认识到传统上被标记为未完成的资助的内在价值，从而在资助分配过程中为探索新的研究领域提供更大的灵活性。

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引用次数: 0

Are there stars in Bluesky? A comparative exploratory analysis of altmetric mentions between X and Bluesky 蓝天里有星星吗？《X》与《蓝天》的替代性提及比较探索性分析

IF 3.4 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-08-01 Epub Date: 2025-06-27 DOI: 10.1016/j.joi.2025.101700

Wenceslao Arroyo-Machado , Nicolas Robinson-Garcia , Daniel Torres-Salinas

This study examines the shift in the scientific community from X (formerly Twitter) to Bluesky, its impact on scientific communication, and consequently on social metrics (altmetrics). We analysed 14,497 publications from multidisciplinary and Library and Information Science (LIS) journals between January 2024 and March 2025. The results reveal a notable increase in Bluesky activity for multidisciplinary journals in November 2024, likely influenced by political and platform changes, with mentions multiplying for journals like Nature and Science. In LIS, the adoption of Bluesky is different and shows marked variation between European and United States journals. Although Bluesky remains a minority platform compared to X over the whole period, when focusing on user engagement after the United States elections, we see a much more even distribution between the two platforms. In two LIS journals, Bluesky even surpasses X, while in most others, the difference in user engagement was no longer as pronounced, marking a significant change from previous patterns in altmetrics.

本研究考察了科学界从X（以前的Twitter）到Bluesky的转变，以及它对科学传播的影响，从而对社会指标（altmetrics）的影响。我们分析了2024年1月至2025年3月期间来自多学科和图书馆与信息科学（LIS）期刊的14,497篇出版物。结果显示，2024年11月，可能受到政治和平台变化的影响，多学科期刊的蓝天活动显著增加，《自然》和《科学》等期刊的蓝天活动增加了一倍。在美国，对蓝天的采用是不同的，在欧洲和美国的期刊之间表现出明显的差异。尽管与X相比，Bluesky在整个期间仍然是一个小众平台，但当我们关注美国大选后的用户粘性时，我们发现这两个平台之间的分布更加均匀。在两份美国期刊中，Bluesky甚至超过了X，而在其他大多数期刊中，用户粘性的差异不再那么明显，这标志着与之前的替代指标模式发生了重大变化。

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引用次数: 0

Sex differences in research productivity among doctoral students in Sweden: A quantile regression approach 瑞典博士生研究生产力的性别差异：分位数回归方法

IF 3.5 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-08-01 Epub Date: 2025-08-12 DOI: 10.1016/j.joi.2025.101702

Jonas Lindahl , Rickard Danell , Kaylee Litson , David F. Feldon

This study examines the sex productivity gap among doctoral students in Sweden using a comparative design. It focuses particularly on how the gap increases at the higher end of the productivity distribution, with men consistently publishing more than women. The study is based on a large dataset of 10,804 doctoral students who graduated between 2010 and 2019 in the research areas of the natural sciences, engineering and technology, medical and health sciences, and the social sciences. By applying multiple quantile regression analysis, we were able to conduct a nuanced analysis of the sex productivity gap across the whole productivity distribution. Results indicate a consistent productivity gap by sex across all research areas and that the gap increases towards the higher end of the distribution, i.e., the sex differences in productivity increase among the top performers. However, the comparison of research areas revealed some heterogeneity. In engineering and technology, the increasing sex gap levels off in the middle of the distribution but takes a leap at the extreme tail. In the social sciences, the gap peaks just before the extreme end of the distribution and then starts decreasing. The natural sciences and medical and health sciences show a more gradual increase in the gap towards the higher end. Taking into account the Swedish context – with its widespread adoption of the collective model of doctoral education and the thesis-by-publication format – our main conclusions are: (1) there exists a consistent sex productivity gap across all studied research areas, and (2) the increasing sex gap at the upper end of the productivity distribution, commonly seen in later career stages, can already be observed during doctoral studies.

本研究考察了性别生产力差距的博士生在瑞典使用比较设计。它特别关注在生产力分布的高端，男性的出版量一直比女性多，这种差距是如何扩大的。该研究基于2010年至2019年毕业于自然科学、工程技术、医学健康科学和社会科学等研究领域的10804名博士生的大型数据集。通过多分位数回归分析，我们能够对整个生产力分布中的性别生产力差距进行细致入微的分析。结果表明，在所有研究领域中，性别之间的生产率差距是一致的，而且这种差距向分布的高端方向扩大，即，在表现最好的领域中，生产率的性别差异也在扩大。然而，研究区域的比较显示出一定的异质性。在工程和技术领域，不断扩大的性别差距在分布的中间趋于平稳，但在极端尾部出现飞跃。在社会科学中，差距在分布的极端末端之前达到顶峰，然后开始下降。自然科学、医学和保健科学的差距逐渐向高端扩大。考虑到瑞典的背景-广泛采用博士教育的集体模式和论文出版格式-我们的主要结论是：(1)在所有研究的研究领域存在一致的性别生产力差距；(2)在生产力分布的上端，性别差距越来越大，通常出现在后期职业阶段，已经可以在博士研究期间观察到。

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引用次数: 0

From communicative to cultural memory: The role of collaboration in the diffusion of scientific innovation 从交际到文化记忆：合作在科学创新传播中的作用

IF 3.4 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-08-01 Epub Date: 2025-07-03 DOI: 10.1016/j.joi.2025.101699

Yujia Zhai , Ruolan Zhuang , Yue Liu , Jinwen Zhang , Ying Ding

By integrating theories of collective memory and innovation diffusion, we construct a citation-based scientific innovation collective memory network and define four types of authors: Original authors, Adopters, Collaborators, and Converters. Additionally, we introduce two new quantitative metrics—the Adopter Conversion Rate (CRA) and Author Conversion Rate (CRC)—to assess the role of collaboration in the diffusion of scientific innovations. Using datasets from APS, Medline, and DBLP, we selected the top 100 most-cited papers published over 20 years ago as our research samples. Through a comprehensive analysis of citation patterns, scientific collaboration networks, and conversion rates, we uncover the pathways and mechanisms of knowledge diffusion in the scientific community. Our findings reveal that scientific research collaboration not only accelerates the diffusion of scientific innovations from their inception but also, as trust-based relationships develop and strengthen, facilitates efficient knowledge sharing and the growth of innovative activities. Furthermore, collaboration facilitates the transition from communicative memory to cultural memory, ensuring the long-term preservation and transmission of scientific knowledge.

通过整合集体记忆和创新扩散理论，构建了基于引文的科学创新集体记忆网络，并定义了原作者、采用者、合作者和转换者四种类型的作者。此外，我们引入了两个新的量化指标——采用者转化率（CRA）和作者转化率（CRC）——来评估合作在科学创新传播中的作用。使用APS、Medline和DBLP的数据集，我们选择了20多年前发表的被引用次数最多的前100篇论文作为我们的研究样本。通过对引文模式、科学合作网络和转化率的综合分析，揭示了科学社区知识传播的途径和机制。我们的研究结果表明，科研合作不仅从一开始就加速了科学创新的扩散，而且随着基于信任的关系的发展和加强，促进了有效的知识共享和创新活动的增长。此外，合作促进了从交际记忆到文化记忆的过渡，确保了科学知识的长期保存和传播。

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引用次数: 0

Corrigendum to “Small but not least changes: The art of creating disruptive innovations” [Journal of Informetrics, Volume 19 , Issue 3, (August 2025), 101703] “微小但并非最不重要的变化：创造破坏性创新的艺术”的勘误表[Journal of informmetrics， vol . 19, Issue 3, (August 2025), 101703]

IF 3.4 2区管理学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Journal of Informetrics

Pub Date : 2025-08-01 Epub Date: 2025-07-23 DOI: 10.1016/j.joi.2025.101708

Youwei He, Jeong-Dong Lee

引用次数: 0