Journal of Informetrics最新文献

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

Measuring the university–industry–government relations synthesized by the Triple Helix and the diversity 三螺旋合成的校企关系及其多样性测度

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-19 DOI: 10.1016/j.joi.2025.101686

Shelia X. Wei , Howell Y. Wang , Sanhong Deng , Wanru Wang , Fred Y. Ye

{"title":"Measuring the university–industry–government relations synthesized by the Triple Helix and the diversity","authors":"Shelia X. Wei , Howell Y. Wang , Sanhong Deng , Wanru Wang , Fred Y. Ye","doi":"10.1016/j.joi.2025.101686","DOIUrl":"10.1016/j.joi.2025.101686","url":null,"abstract":"<div><div>Synthesizing the triple helix model and diversity, we introduce two novel indicators, <em>involvement</em> (<em>IV</em>) and <em>interaction</em> (<em>IA</em>), which are established upon the fusion of the triple helix concept and three extended attributes of diversity: proportion, balance, and disparity. These indicators are designed to evaluate one-dimensional involvement and two-dimensional and three-dimensional interaction within university-industry-government (U-I-G) relations. The empirical examination is conducted using two datasets related to CRISPR and fullerene, derived from the Web of Science. Our findings highlight a markedly higher level of involvement within universities compared to industries and governments, attributed to the dominant proportion of universities. We observe that different two-dimensional interactions render distinct performances on the three attributes. The interaction within U-I-G remains relatively low due to the low proportion. We further contrast <em>IV</em> and <em>IA</em> with the triple helix and transmission efficiency metrics, observing distinct differences among them. Consequently, we suggest that through the synthesis of the triple helix and diversity, <em>IV</em> and <em>IA</em> provide a more thorough understanding of involvement and interaction within U-I-G relations, and can inform strategies for their enhancement. The application of <em>IV</em> and <em>IA</em> can potentially extend to examining varying collaborative innovations within other triple or quadruple relations.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101686"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144083992","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

Determination and characteristics of the most visible authors in multi-author publications 多作者出版物中最引人注目的作者的决定和特征

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-19 DOI: 10.1016/j.joi.2025.101683

Xian Li , Ronald Rousseau , Tao Jia

{"title":"Determination and characteristics of the most visible authors in multi-author publications","authors":"Xian Li , Ronald Rousseau , Tao Jia","doi":"10.1016/j.joi.2025.101683","DOIUrl":"10.1016/j.joi.2025.101683","url":null,"abstract":"<div><div>Scientific collaboration is an effective approach to tackling complex challenges, with the most visible authors emerging as impactful contributors. This study analyzes over 21 million multi-authored papers in the social sciences, natural sciences, and engineering published between 1983 and 2012. We propose using <u>N</u>onlinear <u>V</u>isibility <u>D</u>etermination with a <u>M</u>odified <u>S</u>igmoid <u>F</u>unction (NVDMS) to identify the most visible authors and investigate their individual (byline order, academic age, gender), organizational (occupations), and national (affiliated country) characteristics across different years and team sizes. Our findings are: (1) From the individual point of view we find that the most visible authors in the social sciences are typically listed first or last, whereas in the natural sciences and engineering, they occupy middle positions. The proportion of those in middle positions increases with time and team sizes. The academic age of the most visible authors rises in the natural sciences and engineering but remains stable over time in the social sciences. While male authors continue to dominate, the gender imbalance decreases with time and team size. (2) From the organizational point of view, the most visible authors are affiliated with universities. A higher proportion of authors in the natural and engineering sciences are employed in the facility sector across various team sizes. (3) Finally, from a regional point of view, the most visible authors are predominantly from the U.S., U.K., Japan, and Germany, with a gradual shift toward eastern regions over time. Our findings offer insight into the structure of scientific teams and valuable implications for stakeholders to support promising scholars.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101683"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089394","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 OpenCitations and Dimensions serve as an alternative to Web of Science for calculating disruption indexes? openencitations and Dimensions是否可以替代Web of Science来计算中断指数？

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-19 DOI: 10.1016/j.joi.2025.101685

Shuo Xu , Congcong Wang , Xin An , Yunkang Deng , Jianhua Liu

{"title":"Do OpenCitations and Dimensions serve as an alternative to Web of Science for calculating disruption indexes?","authors":"Shuo Xu , Congcong Wang , Xin An , Yunkang Deng , Jianhua Liu","doi":"10.1016/j.joi.2025.101685","DOIUrl":"10.1016/j.joi.2025.101685","url":null,"abstract":"<div><div>As open access repositories become more prevalent worldwide, scholarly interests in comparative analysis of bibliographic databases are on the rise. Despite this, there is a remarkable scarcity of empirical studies evaluating the efficacy of open and restricted access databases as viable alternatives to traditional closed access models. This study employs the Disruption Index (DI) to analyze three bibliographic databases (<em>WoS, Dimensions</em>, and <em>OpenCitations</em>) across four research fields: Synthetic Biology, Astronomy & Astrophysics as established fields, and Blockchain-based Information System Management and Socio-Economic Impacts of Biological Invasions as emerging ones. After extensive experiments, three main findings are observed as follows. (1) The articles with higher citation counts typically exhibit higher DI values across all fields. (2) The <em>WoS</em> and <em>Dimensions</em> consistently demonstrate closer alignment across established and emerging fields. More missing citations in the <em>OpenCitations</em> lead to significant deviations from the <em>WoS</em> in term of DI values. (3) Compared to the <em>OpenCitations</em>, the <em>Dimensions</em> emerges as a superior alternative to the <em>WoS</em> to some extent.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101685"},"PeriodicalIF":3.4,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144089395","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

The motivations for and effects of modified fractional counting 改进分数计数的动机和效果

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-17 DOI: 10.1016/j.joi.2025.101681

Gunnar Sivertsen , Ronald Rousseau , Lin Zhang

引用次数: 0

Rank-based distributions in scientific papers affiliations: Different forms of Zipf's law with and without higher order inverse participation ratios 科学论文隶属关系中的排名分布：不同形式的齐夫定律有和没有高阶逆参与比

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-16 DOI: 10.1016/j.joi.2025.101684

Malgorzata J. Krawczyk, Mateusz Libirt, Krzysztof Malarz

{"title":"Rank-based distributions in scientific papers affiliations: Different forms of Zipf's law with and without higher order inverse participation ratios","authors":"Malgorzata J. Krawczyk, Mateusz Libirt, Krzysztof Malarz","doi":"10.1016/j.joi.2025.101684","DOIUrl":"10.1016/j.joi.2025.101684","url":null,"abstract":"<div><div>Although often difficult to define and parameterize, scientific collaboration between scientists from different centers and different countries or continents seems to be an interesting and important issue in an increasingly interconnected world. One natural source of such information is scientific papers that include the affiliations of the authors. They do not allow determining the origin of the authors (at least currently), but they can be used to show how large the participation of individual countries in the scientific world is. By analyzing a large set of publications, it is possible to collect chains covering countries and their multiplicity in the affiliations of the authors, and on this basis it is possible to show the most common patterns of collaborating scientific teams. Since in this article we are interested in a more general, statistical approach, the obtained chains are used to calculate an indicator (known as the inverse participation ratio) that expresses different patterns of the distribution of participation of individual countries. We show that the scientific world is another example of universal laws observed in the world because the obtained distribution of inverse participation ratio values obeys Zipf's law.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101684"},"PeriodicalIF":3.4,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144070186","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

The overrepresentation of the United States in the field of legal studies in the science-wide author databases of standardized citation indicators 在标准化引文指标的科学范围作者数据库中，美国在法律研究领域的代表性过高

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-15 DOI: 10.1016/j.joi.2025.101680

Péter Sasvári , Gergely Ferenc Lendvai

{"title":"The overrepresentation of the United States in the field of legal studies in the science-wide author databases of standardized citation indicators","authors":"Péter Sasvári , Gergely Ferenc Lendvai","doi":"10.1016/j.joi.2025.101680","DOIUrl":"10.1016/j.joi.2025.101680","url":null,"abstract":"<div><div>This paper investigates the overrepresentation of U.S.-based scholars in legal studies, focusing on patterns observed in the 2024 Ioannidis Science-wide author databases of standardized citation indicators. The study examines key differences between U.S. and non-U.S. scholars regarding citation metrics, publication patterns, and journal selection, while also evaluating the broader implications of this dominance on the global dissemination of legal knowledge. Via data from Scopus, the study analyzes 766 scholars and their 50,463 publications across both single-year and career-long datasets. The results reveal a marked U.S. dominance, with U.S.-based scholars not only comprising a large share of the dataset but also achieving top-ranking positions across various metrics. U.S. scholars predominantly publish in prestigious American law journals tied to Ivy League institutions, often resulting in higher citation counts and visibility than their non-U.S. counterparts. Conversely, non-U.S. scholars are more likely to publish in international or European journals, which generally yield lower citation metrics. Our results suggest that American legal scholarship maintains a citation ecosystem that reinforces its central position in the field, often sidelining Global South perspectives. These findings should also be interpreted in light of the substantial U.S.-bias inherent in the Scopus-indexed data underpinning the Stanford list, which structurally privileges U.S.-based publication formats and legal venues.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101680"},"PeriodicalIF":3.4,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144068077","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

Identifying high-impact interdisciplinary knowledge flows: An approach combining backward and forward citation analysis 识别高影响的跨学科知识流：一种结合向后和向前引文分析的方法

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-14 DOI: 10.1016/j.joi.2025.101677

Kehui Liu , Quan Lu

{"title":"Identifying high-impact interdisciplinary knowledge flows: An approach combining backward and forward citation analysis","authors":"Kehui Liu , Quan Lu","doi":"10.1016/j.joi.2025.101677","DOIUrl":"10.1016/j.joi.2025.101677","url":null,"abstract":"<div><div>Identifying high-impact interdisciplinary knowledge flows can provide guidance for interdisciplinary innovation management. Previous studies insufficiently address the impact of interdisciplinary knowledge flow on the target discipline, which hinders the accurate capture of valuable interdisciplinary knowledge flow. This paper proposes an innovative method to identify high-impact interdisciplinary knowledge flows by combining backward and forward citation analysis. Backward citation analysis aims to reveal the critical interdisciplinary knowledge inflow, while forward citation analysis aims to understand the continuous impact of interdisciplinary knowledge. By integrating them, the whole process of interdisciplinary knowledge flow can be comprehensively analyzed. The discipline of Information Science & Library Science (ISLS) and Biomedical Engineering are explored as the target disciplines in the case study, and the paper data from 2015 to 2023 is collected. The results reveal that the flow path can be divided into four types. In a total of 699 interdisciplinary knowledge flows of the ISLS discipline, 105 with high-impact are identified. In a total of 325 interdisciplinary knowledge flows of the Biomedical Engineering discipline, 71 with high-impact are identified. The interdisciplinary flowing knowledge units contained in them can be clustered into eight topics and six topics respectively. The three features of these knowledge units can be summarized as high expansibility and practicability, involving innovative applications and multidisciplinary integration. The method proposed offers a way to deeply understand and accurately capture the valuable interdisciplinary knowledge flow.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101677"},"PeriodicalIF":3.4,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143947063","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

Team size and its negative impact on the disruption index 团队规模及其对中断指数的负面影响

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-13 DOI: 10.1016/j.joi.2025.101678

Yiling Lin , Linzhuo Li , Lingfei Wu

引用次数: 0

Exploring the change in scientific readability following the release of ChatGPT 探索ChatGPT发布后科学可读性的变化

IF 3.4 2区管理学

Journal of Informetrics Pub Date : 2025-05-09 DOI: 10.1016/j.joi.2025.101679

Abdulkareem Alsudais

{"title":"Exploring the change in scientific readability following the release of ChatGPT","authors":"Abdulkareem Alsudais","doi":"10.1016/j.joi.2025.101679","DOIUrl":"10.1016/j.joi.2025.101679","url":null,"abstract":"<div><div>The rise and growing popularity of accessible large language models have raised questions about their impact on various aspects of life, including how scientists write and publish their research. The primary objective of this paper is to analyze a dataset consisting of all abstracts posted on arXiv.org between 2010 and June 7th, 2024, to assess the evolution of their readability and determine whether significant shifts occurred following the release of ChatGPT in November 2022. Four standard readability formulas are used to calculate individual readability scores for each paper, classifying their level of readability. These scores are then aggregated by year and across the eight primary categories covered by the platform. The results show a steady annual decrease in readability, suggesting that abstracts are likely becoming increasingly complex. Additionally, following the release of ChatGPT, a significant change in readability is observed for 2023 and the analyzed months of 2024. Similar trends are found across categories, with most experiencing a notable change in readability during 2023 and 2024. These findings offer insights into the broader changes in readability and point to the likely influence of AI on scientific writing.</div></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"19 3","pages":"Article 101679"},"PeriodicalIF":3.4,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143923775","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