Journal of Informetrics最新文献_第3页

Quantifying the disruptiveness of a paper by analyzing how it overshadows its successors 通过分析一篇论文如何使后继论文黯然失色来量化它的破坏性

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-07-10 DOI: 10.1016/j.joi.2025.101706

Zhenzhen Xu , Shengzhi Huang , Fan Zhang , Wei Lu , Yong Huang , Na Lu

{"title":"Quantifying the disruptiveness of a paper by analyzing how it overshadows its successors","authors":"Zhenzhen Xu , Shengzhi Huang , Fan Zhang , Wei Lu , Yong Huang , Na Lu","doi":"10.1016/j.joi.2025.101706","DOIUrl":"10.1016/j.joi.2025.101706","url":null,"abstract":"<div><div>The disruption index (DI) proposed by Funk and Owen-Smith (2017) is a practical metric that has been widely used to identify and analyze disruptive research. However, it suffers from several limitations, such as susceptibility to authors’ manipulation, a narrow focus on the local citation network, and unreasonable convergence characteristics. To address these shortcomings, we propose a novel overshadowing disruption index (∆DI), based on the DI, that captures the disruptive quality of a focal paper by examining its overshadowing impact on its successors. Using 359 highly cited, 443 moderately cited, and 40 Nobel Prize-winning physics papers as research objects, we analyze the evolutionary trajectories of ∆DI and demonstrate its rationality via the statistical methods and GPT-4. Specifically, ∆DI presents a decay trend converging to zero, indicating that the disruptive impact of a paper declines over time. By analyzing papers’ research content via GPT-4, we further explain the decay trend from the perspective of semantic analysis. Additionally, we comprehensively examine ∆DI’s statistics and unveil its correlation with common DI-based metrics. Finally, we systematically verify the effectiveness of ∆DI by scrutinizing the relationship between ∆DI and future scientific impact. Our results show that ∆DI exhibits better predictive power than DI and DI<sub>5</sub>, and the combination of ΔDI and DI performs the best in predicting scientific impact.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101706"},"PeriodicalIF":3.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Small but not least changes: The art of creating disruptive innovations 小而重要的变化：颠覆性创新的艺术

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-07-10 DOI: 10.1016/j.joi.2025.101703

Youwei He , Jeong-Dong Lee

{"title":"Small but not least changes: The art of creating disruptive innovations","authors":"Youwei He , Jeong-Dong Lee","doi":"10.1016/j.joi.2025.101703","DOIUrl":"10.1016/j.joi.2025.101703","url":null,"abstract":"<div><div>In the ever-evolving landscape of technology, product innovation arises through the replacement of outdated technologies with novel advancements or through technological recombination. This study employs a genetic framework to represent products, extracting chromosomal data to construct a comprehensive product influence network of automobiles using a phylogenetic approach. By introducing the “Product Disruption Index” —inspired by the D index—into the product similarity space, we measure a product’s disruptiveness. Our findings on the decline in disruptiveness of automotive products align with trends observed in previous studies on patents and publications, and the Product Disruption Index is further validated and its credibility reinforced through two compelling case studies. Our statistical analysis reveals that disruptive innovations often arise from minor yet pivotal modifications. Furthermore, inheriting superior technologies from predecessors and making slight adjustments to key technologies are more effective in enhancing a product’s disruptiveness than extensive technological changes. Indeed, small steps taken on the shoulders of giants can lead to significant breakthroughs in disruptive innovation.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101703"},"PeriodicalIF":3.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588767","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Journal of Informetrics Pub Date : 2025-07-03 DOI: 10.1016/j.joi.2025.101699

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

{"title":"From communicative to cultural memory: The role of collaboration in the diffusion of scientific innovation","authors":"Yujia Zhai , Ruolan Zhuang , Yue Liu , Jinwen Zhang , Ying Ding","doi":"10.1016/j.joi.2025.101699","DOIUrl":"10.1016/j.joi.2025.101699","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101699"},"PeriodicalIF":3.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144549776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

Journal of Informetrics Pub Date : 2025-06-27 DOI: 10.1016/j.joi.2025.101700

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

{"title":"Are there stars in Bluesky? A comparative exploratory analysis of altmetric mentions between X and Bluesky","authors":"Wenceslao Arroyo-Machado , Nicolas Robinson-Garcia , Daniel Torres-Salinas","doi":"10.1016/j.joi.2025.101700","DOIUrl":"10.1016/j.joi.2025.101700","url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101700"},"PeriodicalIF":3.4,"publicationDate":"2025-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Measuring the topic-level journal impact: JNIln(z) series indicators 衡量主题层面期刊影响力：JNIln(z)系列指标

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-06-25 DOI: 10.1016/j.joi.2025.101701

Siluo Yang , Zhiling Chen

{"title":"Measuring the topic-level journal impact: JNIln(z) series indicators","authors":"Siluo Yang , Zhiling Chen","doi":"10.1016/j.joi.2025.101701","DOIUrl":"10.1016/j.joi.2025.101701","url":null,"abstract":"<div><div>Accurate assessment of journal impact is essential for informing and guiding journal development. Existing journal normalized impact indicators are predominantly constructed at the field level. With increasing interdisciplinary integration and blurred disciplinary boundaries, the growing diversity of topics has rendered field-level normalized indicators insufficient for fine-grained journal impact evaluation. To address this, we previously proposed the Journal Normalized Impact (<em>JNI</em>), a topic-level normalized indicator that integrates topic modeling and citation data. However, <em>JNI</em> has limitations in topic clustering, the rationality of its calculation, and topic-level impact interpretation. This study proposes an improved framework and develops the <span><math><mi>J</mi><mi>N</mi><msub><mrow><mi>I</mi></mrow><mrow><mi>l</mi><mi>n</mi><mo>(</mo><mi>z</mi><mo>)</mo></mrow></msub></math></span> series indicators, employing in-depth semantic topic modeling approach with z-score normalization and applying a “filter-classify-unify normalization” approach to ensure the robustness and interpretability of impact measurement. Empirical analysis confirms that the <span><math><mi>J</mi><mi>N</mi><msub><mrow><mi>I</mi></mrow><mrow><mi>l</mi><mi>n</mi><mo>(</mo><mi>z</mi><mo>)</mo></mrow></msub></math></span> indicators effectively capture both overall and topic-specific journal impact. Compared to previous indicators, the <span><math><mi>J</mi><mi>N</mi><msub><mrow><mi>I</mi></mrow><mrow><mi>l</mi><mi>n</mi><mo>(</mo><mi>z</mi><mo>)</mo></mrow></msub></math></span> indicators improve evaluative precision, offer more robust and stable measurements, and reveal more nuanced topic-level insights. We hope this study provides a foundation for refined, topic-based journal evaluation and contributes to more accurate and reliable research assessment.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101701"},"PeriodicalIF":3.4,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144471653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factorize international mobility on academic performance: a time-varying DID method examining over 7million Chinese scholars 考虑国际流动性对学业成绩的影响：基于时变DID方法对700多万中国学者的检验

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-06-16 DOI: 10.1016/j.joi.2025.101698

Wen Lou , Mingzhu Gao

{"title":"Factorize international mobility on academic performance: a time-varying DID method examining over 7million Chinese scholars","authors":"Wen Lou , Mingzhu Gao","doi":"10.1016/j.joi.2025.101698","DOIUrl":"10.1016/j.joi.2025.101698","url":null,"abstract":"<div><h3>Objective</h3><div>International academic mobility of researchers provides them with access to global knowledge and innovation and shaping their research activities. This study seeks to examine the impact of international mobility on academic performance of researchers.</div></div><div><h3>Method</h3><div>We first visualized changes in researchers' academic performance before and after mobility. Then, we employed the Time-varying Difference-in-Differences (DID) model and Propensity Score Matching (PSM) methodology to uncover the impact of international mobility on researchers. Finally, we delved deeper into the relationship between international mobility patterns and academic performance.</div></div><div><h3>Results</h3><div>The visualized analysis results highlight substantial academic advancement in disciplines such as Biomedical and Life Sciences. Notably, researchers returning to China after mobility exhibit the most significant impact on academic performance, followed by those engaged in multiple movements ('circulation') across countries. In contrast, the 'emigration' group, not returning to China after mobility, exhibits the lowest impact on academic performance.</div></div><div><h3>Conclusions</h3><div>These results emphasize how international academic mobility significantly boosts researchers' academic performance. Particularly, researchers returning to China after mobility demonstrate the most substantial impact on academic performance. However, the noticeable surge in researchers leaving China presents a challenge in retaining their expertise. Therefore, it's crucial to promote active participation in international mobility while developing strategies to retain expertise post-mobility, which is vital for the scientific development of China.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101698"},"PeriodicalIF":3.4,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144290545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comparative analysis of critical educational trajectories of academicians in China and Japan 中日学者批判教育轨迹之比较分析

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-06-13 DOI: 10.1016/j.joi.2025.101689

Jinjing Guo , Fang Wang , Hong Wu , Jinxia Huang , Xiao Rui

{"title":"A comparative analysis of critical educational trajectories of academicians in China and Japan","authors":"Jinjing Guo , Fang Wang , Hong Wu , Jinxia Huang , Xiao Rui","doi":"10.1016/j.joi.2025.101689","DOIUrl":"10.1016/j.joi.2025.101689","url":null,"abstract":"<div><div>Exploring the differences in the critical educational trajectories of academicians between China and Japan and identifying the influencing factors can provide valuable insights into the cultivation and growth of high-level domestic scientific talent. This study adopts the concept of ‘critical growth pathway’ to conduct a comparative analysis of academicians’ educational trajectories in China and Japan from the perspectives of educational continuity, educational institution diversity, and study abroad experience. Chinese academicians typically follow one of three education trajectories: (1) bachelor’s, (2) bachelor’s-master’s-doctorate, or (3) bachelor’s-work-master’s-work-doctorate, while Japanese academicians commonly follow: (1) bachelor’s-direct doctorate, (2) bachelor’s-master’s-doctorate, and (3) bachelor’s-work-doctorate. China tends to emphasise bachelor’s-master’s continuity and master’s-doctorate continuity, whereas Japan shows a stronger preference for direct doctoral continuity. Chinese academicians demonstrate greater diversity in their educational institutions compared to their Japanese counterparts. Most Chinese and Japanese academicians have no overseas study experience, although such experience is more common in Japan than China. Consistent and continuous scientific research training is a critical pathway for cultivating elite scientists, while maintaining coherence across educational stages supports their development. The role of overseas education in cultivating high-level domestic talent is important to reassess, attention should be placed on strengthening local talent development by enhancing mentorship, improving the effectiveness of domestic training systems, and addressing country-specific challenges, particularly as national research and education systems reach more advanced stages. The analytical model developed in this study provides valuable insights for institutional design in policy-driven latecomers and other developing countries.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101689"},"PeriodicalIF":3.4,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144279367","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantifying delayed recognition of scientists 量化科学家的延迟识别

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-06-10 DOI: 10.1016/j.joi.2025.101688

Alex J. Yang, Yiqin Zhang, Zuorong Wang, Hao Wang, Sanhong Deng

{"title":"Quantifying delayed recognition of scientists","authors":"Alex J. Yang, Yiqin Zhang, Zuorong Wang, Hao Wang, Sanhong Deng","doi":"10.1016/j.joi.2025.101688","DOIUrl":"10.1016/j.joi.2025.101688","url":null,"abstract":"<div><div>Delayed recognition is a significant phenomenon with implications for career advancement, funding opportunities, and the dissemination of scientific knowledge. Despite its importance, most studies have focused on delayed recognition at the paper level, leaving a gap in understanding how this phenomenon unfolds at the level of individual scientists. This paper presents a novel framework for quantifying delayed recognition in scientists by analyzing their career-level citation trajectories. The framework utilizes two key metrics—the author beauty coefficient (<span><math><mi>AB</mi></math></span>) and author career awakening time (<span><math><msub><mi>A</mi><mrow><mi>t</mi><mi>α</mi></mrow></msub></math></span>)—to capture the temporal dynamics of a scientist’s citation impact over the course of their career. Our analysis demonstrates that these metrics reveal patterns distinct from paper-level measures, with no significant correlation to averaged paper delayed recognition scores. Fixed-effect regression analyses indicate that female scientists and those pursuing novel or disruptive research experience greater delays in recognition. Additionally, through Coarsened Exact Matching (CEM) analysis, we find that scientists in smaller groups exhibit higher survival rates in academia but also face more significant delayed recognition. This paper delivers a fresh methodological approach and critical insights into the demographic and research factors driving delayed recognition, enhancing our understanding of scientific impact at the individual level.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101688"},"PeriodicalIF":3.4,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144255149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring the relationship between interdisciplinarity and scientific breakthrough speed: a study based on Nobel Prize-winning papers 探索跨学科与科学突破速度的关系——基于诺贝尔奖获奖论文的研究

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-06-06 DOI: 10.1016/j.joi.2025.101687

Deng Cheng, Zhang Xue

{"title":"Exploring the relationship between interdisciplinarity and scientific breakthrough speed: a study based on Nobel Prize-winning papers","authors":"Deng Cheng, Zhang Xue","doi":"10.1016/j.joi.2025.101687","DOIUrl":"10.1016/j.joi.2025.101687","url":null,"abstract":"<div><div>In the context of increasing interdisciplinary research trends, this study explores the relationship between interdisciplinarity and scientific breakthrough speed (SBS). We employ a “text topics-multiple disciplines” approach to quantify interdisciplinarity and utilize three indicators for measuring SBS: Highest degree to Significant contribution time (HSt), Significant contribution to Nobel Prize winning time (SNt), and Highest degree to Nobel Prize winning time (HNt). Focusing on Nobel laureates in the natural sciences from 1901 to 2023 and their Nobel Prize-winning research (NPw), we construct negative binomial regression models to analyze these variables. Our findings reveal that interdisciplinarity has no significant effect on HSt, but it significantly and positively affects SNt and HNt. This suggests that while interdisciplinary approaches do not delay the initial discovery process, they substantially extend the time required for scientific recognition and award. We also discuss the moderating role of Nobel Prize laureates’ imprint characteristics. Postdoctoral experience plays a negative moderating role in the above relationships, while the moderating effect of overseas experience is not significant.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101687"},"PeriodicalIF":3.4,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144221919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do male leading authors retract more articles than female leading authors? 男性主要作者是否比女性主要作者撤回更多的文章？

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-20 DOI: 10.1016/j.joi.2025.101682

Er-Te Zheng , Hui-Zhen Fu , Mike Thelwall , Zhichao Fang

{"title":"Do male leading authors retract more articles than female leading authors?","authors":"Er-Te Zheng , Hui-Zhen Fu , Mike Thelwall , Zhichao Fang","doi":"10.1016/j.joi.2025.101682","DOIUrl":"10.1016/j.joi.2025.101682","url":null,"abstract":"<div><div>Scientific retractions reflect issues within the scientific record, arising from human error or misconduct. Although gender differences in retraction rates have been previously observed in various contexts, no comprehensive study has explored this issue across all fields of science. This study examines gender disparities in scientific misconduct or errors, specifically focusing on differences in retraction rates between male and female first authors in relation to their research productivity. Using a dataset comprising 11,622 retracted articles and 19,475,437 non-retracted articles from the Web of Science and Retraction Watch, we investigate gender differences in retraction rates from the perspectives of retraction reasons, subject fields, and countries. Our findings indicate that male first authors have higher retraction rates, particularly for scientific misconduct such as plagiarism, authorship disputes, ethical issues, duplication, and fabrication/falsification. No significant gender differences were found in retractions attributed to mistakes. Furthermore, male first authors experience significantly higher retraction rates in biomedical and health sciences, as well as in life and earth sciences, whereas female first authors have higher retraction rates in mathematics and computer science. Similar patterns are observed for corresponding authors. Understanding these gendered patterns of retraction may contribute to strategies aimed at reducing their prevalence.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101682"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0