Journal of Informetrics最新文献_第3页

A study of gender and regional differences in scientific mobility and immobility among researchers identified as potentially talented 一项关于被确定为潜在人才的研究人员在科学流动性和不流动性方面的性别和地区差异的研究

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101744

Aliakbar Akbaritabar , Robin Haunschild , Lutz Bornmann

Identifying potentially talented academics worldwide using publication data has been proven to be successful with other performance measures based on citations and funding data in previous studies. In this study, we investigate the scientific mobility and immobility among academics as an additional performance measure. We reconstruct the mobility trajectory of potentially talented researchers throughout their scientific careers to study whether they have a different propensity to be mobile or non-mobile than other researchers in the group for comparison. Since the researchers’ gender may play an important role in scientific careers, we delve into gender differences. Our results indicate that potentially talented researchers have a higher propensity to be mobile than other researchers in the group for comparison – more so among male than female talented researchers. Women are overrepresented among non-mobile researchers in the other researchers group. We conclude – based on our findings – that the proposed method for identifying potentially talented individuals seems to select researchers who are more successful in their academic careers than the researchers in the group for comparison. The results agree with the findings of the previous studies based on citation and funding data. In the interpretation of our study results, one should consider yet that higher mobility is a privilege (that may be independent of talent). Specific groups, such as those with fewer caring responsibilities and visa restrictions, could have better access to this privilege. Further research is necessary thus on the trade-off between higher mobility's potential advantages and disadvantages as a strategy to build a successful academic career and unequal access to mobility.

在以前的研究中，使用基于引用和资助数据的其他绩效指标来识别全球有潜力的学者已被证明是成功的。在这项研究中，我们调查学术之间的科学流动性和不流动性作为一个额外的绩效指标。我们重建了有潜力的研究人员在其整个科学生涯中的流动轨迹，以研究他们是否有不同的倾向于流动或不流动，而不是其他研究人员进行比较。由于研究人员的性别可能在科学事业中发挥重要作用，我们深入研究性别差异。我们的研究结果表明，有潜力的研究人员比对照组中的其他研究人员有更高的流动性倾向——男性比女性有潜力的研究人员更倾向于流动。在其他研究人员群体中，女性在非流动研究人员中所占比例过高。根据我们的研究结果，我们得出结论，我们提出的识别潜在人才的方法似乎是选择在学术生涯中比小组中的研究人员更成功的研究人员进行比较。基于引文和资助数据的研究结果与前人的研究结果一致。在解释我们的研究结果时，人们应该考虑到，更高的流动性是一种特权（可能与天赋无关）。特定群体，如那些照顾责任较少、签证限制较少的群体，可能更容易获得这一特权。因此，有必要进一步研究高流动性作为建立成功学术生涯的战略的潜在优势和劣势与不平等的流动性之间的权衡。

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引用次数: 0

Model uncertainty in the evaluation of the impact of interdisciplinary research in Business Studies: A Multiverse Analysis 商业研究中跨学科研究影响评估中的模型不确定性：多元宇宙分析

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101740

Giulio Giacomo Cantone , Paul Nightingale

There are many operational definitions and many indicators of interdisciplinary research. As a consequence, claims about its scientific impact may suffer from high model uncertainty and low credibility, since they can be based on specific results highly dependent on implicit choices of the modelling process. This study addresses the issue with Multiverse Analysis, a protocol for multi-model inference that specifies the modelling factors that can generate variability in the results. Combinations of these factors are fit and analysed simultaneously, so that inference cannot be selective in reporting results. 1,344 regression models are fit to a sample of 5,828 articles from journals of Business Studies. The Multiverse Analysis does not find support for the claim that interdisciplinary articles of Business are more cited. Even though a minority of the models reach statistical significance, the median estimates for the effect size are close to zero. Through an analysis of variance it is established that the choice of the indicator is the most influential, reproducing 45% of the total variance. This result confirms that claims on the scientific impact of IDR are highly dependent on the operational definition. The choice of the sources of metadata on articles, a factor previously overlooked in literature, reproduce 10% of the total variance. Findings suggest caution in accepting generic claims about the scientific impact of interdisciplinary research in social sciences.

跨学科研究有许多可操作的定义和许多指标。因此，关于其科学影响的主张可能受到模型高度不确定性和可信度低的影响，因为它们可能基于高度依赖于建模过程隐含选择的具体结果。本研究通过多元宇宙分析解决了这个问题，多元宇宙分析是一种用于多模型推理的协议，它指定了可以在结果中产生可变性的建模因素。这些因素的组合同时进行拟合和分析，因此在报告结果时不能有选择性地推断。1344个回归模型拟合了来自商业研究期刊的5828篇文章的样本。《多元宇宙分析》并没有发现跨学科的商业文章被更多引用的说法。尽管少数模型达到了统计显著性，但效应大小的中值估计接近于零。通过方差分析，确定指标的选择是最具影响力的，再现了总方差的45%。这一结果证实，对IDR科学影响的主张高度依赖于操作定义。文章元数据来源的选择，一个以前在文献中被忽视的因素，再现了总方差的10%。研究结果表明，在接受关于社会科学跨学科研究的科学影响的一般性主张时要谨慎。

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引用次数: 0

From weak to strong signals: Exploring R&D projects with research equipment 从弱信号到强信号：利用研究设备探索研发项目

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101747

Kyoungmi Lee , Kyungran Jung , Jae-Suk Yang

Weak signals have received growing attention as early indicators of future change, yet prior research has treated them as static indicators. Given their fragmented and uncertain nature, weak signals do not consistently evolve into strong signals. This study investigates whether weak signals can transition into strong ones, with particular attention to the role of research equipment. Building on TF-DoV–based analytical methods, we develop a longitudinal framework and analyze a decade of nationally funded R&D projects in the chemical sector. The results show that projects involving equipment exhibit a higher transition rate from weak to strong signals. This finding highlights the enabling role of equipment, functioning both as material infrastructure and as a cognitive foundation that facilitates the recognition and maturation of emerging topics. Overall, this study reconceptualizes weak signals as dynamic trajectories and demonstrates the catalytic influence of research equipment in their evolution. Further, it utilizes nationally funded R&D projects as a novel policy-relevant data source that captures emerging technological trajectories. These contributions advance the theoretical understanding of weak signals, extend methods for analyzing signal transitions, and provide practical guidance for R&D policy and strategy.

弱信号作为未来变化的早期指标受到越来越多的关注，但之前的研究将其视为静态指标。鉴于它们的碎片性和不确定性，弱信号不会始终演变成强信号。本研究探讨弱信号是否可以转化为强信号，并特别关注研究设备的作用。在基于tf - dov的分析方法的基础上，我们开发了一个纵向框架，并分析了十年来化学行业国家资助的研发项目。结果表明，涉及设备的项目表现出更高的弱信号到强信号的转换速率。这一发现强调了设备的促进作用，它既是物质基础设施，也是促进新兴主题认识和成熟的认知基础。总体而言，本研究将弱信号重新定义为动态轨迹，并展示了研究设备在其演变中的催化作用。此外，它利用国家资助的研发项目作为一种新的政策相关数据源，捕捉新兴的技术轨迹。这些贡献促进了对弱信号的理论认识，扩展了分析信号转换的方法，并为研发政策和战略提供了实践指导。

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引用次数: 0

Measuring the relative intensity of collaboration with fractional counting methods 用分数计数方法测量合作的相对强度

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101743

Zhe Cao , Lin Zhang , Ronald Rousseau , Gunnar Sivertsen

With the rapid globalization of scientific research and the increasing tendency of countries to co-fund research programs and projects, measuring international collaboration has become a key focus in the field of scientometrics and in policy documents. The relative intensity of collaboration (

R I C

) has been introduced as a new approach to measure the activity in bilateral relations relative to all such relations within a network. This study proposes the application of fractional counting as an alternative to full counting methods to calculate the

R I C

index, thereby shifting the emphasis from the perspective of participation in collaboration to the perspective of contribution to collaboration. At the level of countries, the change of perspective corresponds to a policy perspective in which questions about the prioritization of partners and resources spent on international scientific collaboration might be asked. To illustrate the new approach, we present examples of collaboration between China, the United States, and other countries within the global research network.

随着科学研究的快速全球化和各国共同资助研究计划和项目的趋势日益增加，衡量国际合作已成为科学计量学领域和政策文件关注的焦点。相对合作强度（RIC）已被引入作为一种新的方法来衡量双边关系中相对于网络中所有此类关系的活动。本研究建议采用分数计数法替代全部计数法来计算RIC指数，从而将重点从参与协作的角度转移到对协作的贡献角度。在国家一级，观点的改变对应于一种政策观点，其中可能会提出有关伙伴的优先次序和用于国际科学合作的资源的问题。为了说明这种新方法，我们列举了中国、美国和其他国家在全球研究网络中的合作实例。

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引用次数: 0

Does higher recognition from reviewers lead to greater attention to research papers? A combined analysis of review behavior and content 评审者的高度认可是否会导致对研究论文的更多关注？对评论行为和内容的综合分析

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101742

Huanan Wei , Xiwen Liu , Jielan Ding , Zihao Qu

Do papers with high recognition from reviewers gain higher attention and impact in subsequent dissemination? Studying the gap between these two aspects helps better understand the dissemination mechanism of paper impact and inspire thoughts on the effectiveness of peer review. Existing research has only focused on the single review behavior and has been conducted from overall perspective, with insufficient exploration of fine-grained content dimensions. This paper takes 28,885 papers published in the open peer review journal PLoS One from 2019 to 2024, which include peer review reports, as the research objects. It focuses on the fine-grained content dimensions (Methods & Data, Experiment & Analysis, Openness & Transparency, Rigor & Correctness) and studies the relationship between reviewers’ review behaviors—including confidence level (Anonymity), level of recognition (Quality Score), and degree of consensus (Consistency)—and attention that papers have acquired. Research results indicate that when reviewers are non-anonymous, the results of recognition in all content dimensions are more positive than those under anonymous conditions, and the phenomenon of “Evaluating in a more positive way in public scenario” is widely prevalent. The fine-grained recognition from reviewers significantly associated with the paper’s dissemination in the academic dissemination chain, and as the dissemination process progresses, the requirements for quality gradually emerge and become increasingly stringent. During peer review, reviewers exhibit a high degree of consensus regarding the recognition of paper quality, papers with complete consensus are more likely to attract high-attention, while those papers with significant controversy can also acquire a certain level of high-attention. In the process of scientific knowledge dissemination, shallow attention behaviors tend to be accompanied by evaluation consensus, while deep dissemination behaviors have a stronger correlation with the intrinsic quality of the paper.

获得审稿人高度认可的论文在后续传播中是否会获得更高的关注度和影响力？研究这两个方面的差距，有助于更好地理解论文影响力的传播机制，启发对同行评议有效性的思考。现有的研究只关注单一的评论行为，从整体角度进行，对细粒度内容维度的探索不足。本文以开放同行评议期刊《PLoS One》2019 - 2024年发表的28885篇含同行评议报告的论文为研究对象。它侧重于细粒度的内容维度（方法和数据、实验和分析、开放性和透明度、严谨性和正确性），并研究审稿人的审查行为（包括置信度（匿名）、识别水平（质量评分）和共识程度（一致性））与论文获得的关注之间的关系。研究结果表明，审稿人非匿名时，在所有内容维度上的识别结果都比匿名条件下更积极，“公开场景下评价更积极”的现象普遍存在。审稿人的细粒度认可与论文在学术传播链中的传播程度有着重要的关系，随着传播过程的进行，对质量的要求逐渐显现并越来越严格。在同行评议过程中，审稿人对论文质量的认可表现出高度的共识，完全共识的论文更容易获得高度的关注，而争议较大的论文也能获得一定程度的高度关注。在科学知识传播过程中，浅层关注行为往往伴随着评价共识，而深层传播行为与论文内在质量的相关性更强。

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引用次数: 0

Measuring the integration of dataset contributors into the publication team: Metrics for assessing team integration in genomics and biomedicine and implications for citation impact and scientific capacity 测量数据集贡献者与出版团队的整合：评估基因组学和生物医学团队整合的指标，以及对引用影响和科学能力的影响

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101746

Sarah Bratt , Danushka Bandara , Qiaoyi Liu , Mrudang Langalia , Abhishek Nanoti

Despite the significant role of datasets in advancing genomics and biomedicine, few metrics exist for assessing team integration of dataset contributors into the publication. Drawing from set theory, this study develops several measures of data-intensive team integration. We develop and describe 'data labor integration ratio' and variants and apply them two case studies in the biomedical sciences and genomics by analyzing the metadata of scientific datasets and their associated publications deposited to GenBank over 29 years (1992–2021). Findings indicate that using these measures, we can newly estimate whether teams with highly integrated dataset contributors are strongly correlated with higher citation impact. We also find that tightly integrated teams tend to publish more quickly. Results suggest that a higher data-and-publication team integration promotes conditions for the exchange of expertise and access to resources, thereby bolstering research capacity. The study offers effective metrics for quantifying team integration in biomedicine and genomics. We argue that these measures of dataset contributor integration are superior to approaches that rely solely on publication information advancing the assessment of data-intensive team integration on citation impact and scientific capacity-building in international collaborations.

尽管数据集在推进基因组学和生物医学方面发挥着重要作用，但很少有指标用于评估数据集贡献者对出版物的团队整合。从集合论出发，本研究提出了数据密集型团队整合的几种度量方法。通过分析29年来（1992-2021年）存入GenBank的科学数据集及其相关出版物的元数据，我们开发并描述了“数据劳动集成比率”和变体，并将其应用于生物医学和基因组学的两个案例研究。研究结果表明，使用这些测量方法，我们可以重新估计具有高度集成数据集贡献者的团队是否与更高的引用影响力强相关。我们还发现紧密集成的团队往往能够更快地发布内容。结果表明，数据和出版团队的高度整合促进了专业知识交流和资源获取的条件，从而增强了研究能力。该研究为量化生物医学和基因组学领域的团队整合提供了有效的指标。我们认为，这些数据集贡献者整合的措施优于仅依赖于出版信息的方法，这些方法促进了对国际合作中引用影响和科学能力建设的数据密集型团队整合的评估。

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引用次数: 0

Drivers and penalties of retraction: An empirical study of Chinese medical researchers 撤稿动因与处罚：中国医学研究者的实证研究

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101745

Fang Han , Yanqing Ren , Ruhao Zhang , Lingzi Feng , Lixue Wang , Junpeng Yuan

This study quantitatively analyzes 373 researchers with retracted papers from 20 leading medical institutions in China and examines their characteristics, retraction drivers, and career impacts based on their publication histories. The results show that: (1) young researchers with retractions show weaker academic performance than their non-retracted peers, while senior researchers exhibit higher productivity, influence, and larger collaboration networks; (2) output-driven incentives strongly correlate with misconduct-related retractions, and younger researchers face higher misconduct risks; (3) peer pressure among researchers within the same institute does not significantly influence the institute’s overall retraction frequency; and (4) retractions significantly reduce citations (–41.5%), collaborations, and career mobility, with early career researchers being the most affected. Midcareer researchers suffer primarily from citation decline. (5) Retractions due to scientific error have a greater negative impact on the authors’ subsequent career development. Their annual citation numbers decrease by 61.8%, and the number of co-authors decreases by 23.6%, which are 1.6 times and 1.4 times the decreases in the academic misconduct group, respectively. These findings provide critical insights into current retraction trends.

本研究对来自中国20家领先医疗机构的373名被撤稿的研究人员进行了定量分析，并根据他们的发表历史考察了他们的特征、撤稿驱动因素和职业影响。研究结果表明：(1)撤稿青年科研人员的学术表现弱于未撤稿青年科研人员，而撤稿高级科研人员的生产力、影响力和协作网络均高于未撤稿青年科研人员；(2)产出驱动激励与学术不端撤稿存在显著相关性，年轻科研人员面临更高的学术不端风险；(3)同侪压力对整体撤稿频率无显著影响；(4)论文撤稿显著降低了论文被引率（-41.5%）、合作和职业流动性，其中受影响最大的是职业生涯早期的研究人员。职业生涯中期的研究人员遭受的主要是引文减少。(5)科学错误导致的撤稿对作者后续职业发展的负面影响较大。他们的年被引次数减少了61.8%，共同作者数量减少了23.6%，分别是学术不端组的1.6倍和1.4倍。这些发现为当前的撤稿趋势提供了重要的见解。

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引用次数: 0

Corrigendum to “Sex differences in research productivity among doctoral students in Sweden: A quantile regression approach” [Journal of Informetrics 19 (2025) 101702] “瑞典博士生研究生产力的性别差异：分位数回归方法”的勘误表[Journal of informmetrics 19 (2025) 101702]

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

Journal of Informetrics

Pub Date : 2025-11-01 DOI: 10.1016/j.joi.2025.101733

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

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 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

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 DOI: 10.1016/j.joi.2025.101735

Heng Zhang , Chengzhi Zhang

引用次数: 0