Journal of Informetrics最新文献_第9页

Disruptive development path measurement for emerging technologies based on the patent citation network 基于专利引用网络的新兴技术颠覆性发展路径测度

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-12 DOI: 10.1016/j.joi.2024.101493

Xiaoli Wang , Wenting Liang , Xuanting Ye , Lingdi Chen , Yun Liu

{"title":"Disruptive development path measurement for emerging technologies based on the patent citation network","authors":"Xiaoli Wang , Wenting Liang , Xuanting Ye , Lingdi Chen , Yun Liu","doi":"10.1016/j.joi.2024.101493","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101493","url":null,"abstract":"<div><p>Studying disruptive innovation development paths for emerging technologies helps trace and grasp key core technologies development, promoting innovation and development in emerging technologies and industries. This paper measures the innovation development path for emerging technology, including: (1) improving the triple citation network and quantifying disruptive measurement by designing a technological disruption model; (2) proposing a contraction method for the citation network from the dataset perspective; (3) proposing a method to extract the main path using technology disruption degree as a criterion for citation networks importance; (4) taking the sintering technology in 3-D printing technology as the empirical object with 12,662 patent families from 1997 to 2019. The empirical results indicate that the disruption degree value is determined by the transitive citation relationship without the co-citation relationship, and the closed-loop structures are effectively removed, thereby reducing the size of the dataset. The proposed disruption quantification method can support effective evaluation of technological innovation levels and decision-making for the research and development (R&D) direction and resource allocation.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157724000063/pdfft?md5=71a1163e9844f5bd4b46003d18748881&pid=1-s2.0-S1751157724000063-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139433708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis 学者的合作倾向会影响其出版物的质量吗？广义倾向得分匹配分析

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-11 DOI: 10.1016/j.joi.2023.101487

Qiuling Liu , Lei Guo , Yiping Sun , Linlin Ren , Xinhua Wang , Xiaohui Han

{"title":"Do scholars' collaborative tendencies impact the quality of their publications? A generalized propensity score matching analysis","authors":"Qiuling Liu , Lei Guo , Yiping Sun , Linlin Ren , Xinhua Wang , Xiaohui Han","doi":"10.1016/j.joi.2023.101487","DOIUrl":"https://doi.org/10.1016/j.joi.2023.101487","url":null,"abstract":"<div><p>Recently, the research on the cooperation relationship between authors has received widespread attention. However, existing studies still have the following limitations: 1) They mainly study the impact of author collaboration patterns by correlation analysis without considering the existence of confounding factors. 2) Methods based on causal analysis primarily focus on exploring the impact of different cooperation models, while less considering the author's tendency to participate. 3) Previous studies fail to incorporate the structural attributes of the authors' cooperation network into covariates, which may lead to confounding bias. To overcome the above limitations, we further explore the causal effect of authors' participation levels on the quality of their publications by leveraging the Generalized Propensity Score Matching (GPSM) method. Moreover, to alleviate the influence of the structural features in the authors' cooperation network, we then take the typical structural features as covariates, preventing us from reaching incorrect conclusions caused by the variable bias. We conduct extensive experiments on a real-world dataset (collected from the Web of Science (WoS) core collection), and from the experimental results, we find that authors having different involvement tendencies usually have publications with different qualities. Specifically, we observe an “inverted U-shaped” curve on authors' participation tendencies. That is, the quality of papers first rises and then decreases with the increase of authors' participation tendencies, which means that researchers who excessively collaborate with others actually experience a decrease in average paper quality.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157723001128/pdfft?md5=687b8f39feb595372c60838371c3af1d&pid=1-s2.0-S1751157723001128-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139419316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Corrigendum to “Understanding the domain development through a word status observation model” [Journal of Informetrics 17 (2023) 1–19/101395] 通过词语状态观察模型了解领域发展》更正[《信息学杂志》17 (2023) 1-19/101395]

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-11 DOI: 10.1016/j.joi.2024.101497

Tongyang Zhang , Ran Sun , Julia Fensel , Andrew Yu , Yi Bu , Jian Xu

引用次数: 0

Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective 聚合范式下科学家的学科特点与合作行为：多层次网络视角

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-11 DOI: 10.1016/j.joi.2024.101491

Jing Li, Qian Yu

{"title":"Scientists’ disciplinary characteristics and collaboration behaviour under the convergence paradigm: A multilevel network perspective","authors":"Jing Li, Qian Yu","doi":"10.1016/j.joi.2024.101491","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101491","url":null,"abstract":"<div><p>The convergence paradigm underlines the importance of integrating multiple disciplines through collaboration. However, the crucial question of how scientists' disciplinary characteristics influence scientific collaboration remains unresolved. Using an exponential random graph model for multilevel networks, this study provides insights into the impact of scientists' disciplinary characteristics on their collaborative behaviour based on data from the Materials Genome Initiative, a typical convergence field. These results show that: under the convergence paradigm, scientists with a greater number of affiliated disciplines or with greater disparities in knowledge systems among their affiliated disciplines are less active in collaboration, whereas scientists with more balanced competence across their affiliated disciplines are more active. Scientists are more likely to collaborate with people who have a similar ability to integrate multidisciplinary knowledge. Scientists with a focus on applied disciplines are more likely to collaborate than are those with a preference for basic disciplines. Scientists who focus more on peripheral and external disciplines are more active in collaboration than scientists who focus on core and internal disciplines. Scientists collaborate based on shared disciplines and utilise the unique disciplines of their collaborators to advance knowledge and thus expand their own research space. This study provides evidence for the selection of partners based on scientists' disciplinary characteristics and highlights its importance for interdisciplinary teams and project management.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S175115772400004X/pdfft?md5=53331da9623a63a2cddabdc786bd973f&pid=1-s2.0-S175115772400004X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139419314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The moderating role of personal characteristics of authors in the publications’ quality for quantity trade-off 作者个人特征在出版物数量与质量权衡中的调节作用

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-07 DOI: 10.1016/j.joi.2024.101495

Giovanni Abramo , CiriacoAndrea D'Angelo , Flavia Di Costa

{"title":"The moderating role of personal characteristics of authors in the publications’ quality for quantity trade-off","authors":"Giovanni Abramo , CiriacoAndrea D'Angelo , Flavia Di Costa","doi":"10.1016/j.joi.2024.101495","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101495","url":null,"abstract":"<div><p>The rise of quantitative research evaluations has led researchers to adopt publication strategies that enable the pursuit of entry and career progression within institutions. Depending on the performance evaluation criteria adopted, researchers emphasize more on publication quantity, impact, prestige of hosting journals, or seek a combination. What we investigate in this paper is the nature of the impact for quantity trade-off with, in particular, control for the moderating role of the personal characteristics of authors. The dataset concerns approximately 29,000 Italian professors representing 200 scientific fields. As necessary, the analyses are field normalized. The evidence seems to support the presence of an impact for quantity trade-off. While single-variate analyses show a positive correlation between the two dimensions, a more complex econometric model, controlling for a range of individual characteristics of researchers, indicates a negative marginal effect of the size of a scholar's scientific output on average impact.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157724000087/pdfft?md5=ddb4dc045f42158601234065921662f7&pid=1-s2.0-S1751157724000087-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139111556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund 探索、开发和资助的成功：来自中国青年科学基金资助的青年科学家的证据

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-06 DOI: 10.1016/j.joi.2024.101492

Liying Guo, Yang Wang, Meiling Li

{"title":"Exploration, exploitation and funding success: Evidence from junior scientists supported by the Chinese Young Scientists Fund","authors":"Liying Guo, Yang Wang, Meiling Li","doi":"10.1016/j.joi.2024.101492","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101492","url":null,"abstract":"<div><p><span>Scientists’ choice of research questions is often shaped by an “essential tension” between exploring new or risky ideas and exploiting conventional wisdoms. However, we still lack understanding regarding the association between exploration, exploitation, and funding success, which is a crucial aspect of career development for junior scientists in today’s highly competitive environment. In this study, we adopt a systematic approach to analyze the career histories of over 20,000 junior scientists supported by the Chinese Young Scientists Fund. We quantitatively assess the level of exploration during the Young Scientists Fund cycle using two approaches, and focus on the association of exploration on securing subsequent funding. Despite the positive relationship between exploring new topics and novelty, our findings reveal that junior scientists who choose to explore new research topics in the first funding cycle face significantly lower chances of obtaining subsequent funding. Additionally, among those who do secure subsequent funding, individuals who engage in exploratory research in the first funding cycle tend to wait longer. Furthermore, our study examines the </span>predictive power of various observed variables at the individual level in predicting funding success, finding modest predictive power. Overall, this work sheds light on the underlying patterns of individual careers and has policy implications in supporting junior scientists engaged in exploratory research. By unraveling the dynamics between exploration, exploitation, and funding success, our study offers valuable insights to nurture early career researchers.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139111740","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

Does open identity of peer reviewers positively relate to citations? 同行评议人的公开身份与引文是否有正相关？

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-01-05 DOI: 10.1016/j.joi.2024.101489

Li Hou, Qiang Wu, Yundong Xie

{"title":"Does open identity of peer reviewers positively relate to citations?","authors":"Li Hou, Qiang Wu, Yundong Xie","doi":"10.1016/j.joi.2024.101489","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101489","url":null,"abstract":"<div><p>Referees play an essential role in the peer review process, significantly contributing to improving the quality of scholarly publications. In the context that the Open Science movement is gaining increasing attention and support, the open identity of peer reviewers has become a crucial aspect requiring more relevant research. To enhance the comprehension of the relatively unexplored phenomenon of publishing reviewer identities, this study investigates how such identification and the academic performance of reviewers identified in the acknowledgements of articles relate to these articles’ citations. Our sample comprises 1,120 articles within the field of Biological Sciences and published in <em>Nature</em> between 2016 and 2020. The publication and citation history for 787 identified reviewers were obtained from Scopus to measure their academic performance. Based on Negative Binomial Regression results, we found that the presence of at least one reviewer's identity is not statistically associated with citations, whereas articles with all reviewers’ identities published tend to receive fewer citations. However, our dataset supports a significant positive correlation between the academic performance of recognised reviewers and the citation impact of the articles they reviewed. These findings have significant implications for the scholarly community and publication policies.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157724000026/pdfft?md5=cfa6f5e1ad33b76b38792db2512e1327&pid=1-s2.0-S1751157724000026-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139108756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow 识别新兴技术的多维指标：技术知识流动的视角

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2023-12-27 DOI: 10.1016/j.joi.2023.101483

Man Jiang , Siluo Yang , Qiang Gao

{"title":"Multidimensional indicators to identify emerging technologies: Perspective of technological knowledge flow","authors":"Man Jiang , Siluo Yang , Qiang Gao","doi":"10.1016/j.joi.2023.101483","DOIUrl":"https://doi.org/10.1016/j.joi.2023.101483","url":null,"abstract":"<div><p>The identification of emerging technologies (ETs) is pivotal for advancing technological innovation. However, current methods fail to sufficiently clarify ETs' innovation mechanisms and lack a consistent perspective to integrate the five attributes proposed by Rotolo. This paper presents an innovative term-level framework to identify and comprehend ETs through the perspective of technological knowledge flow (TKF). By dissecting TKF comprehensively, encompassing aspects of knowledge absorption, growth, and diffusion, we construct and explicate multidimensional indicators reflective of ETs' attributes, including relatively rapid growth, radical novelty, coherence, prominent impact, as well as uncertainty and ambiguity. Through the analysis of digital medical patent dataset, our framework proves effective in assessing emergent scores and pinpointing ETs with specificity at the term level, clarifying their technological components and efficacy. This is beneficial for technology developers to overcome technical difficulties and strategic decision makers to manage IP for competitive advantage.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157723001086/pdfft?md5=d4c8dc751c44e5e907374dd11b765bfc&pid=1-s2.0-S1751157723001086-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139050174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dependency, reciprocity, and informal mentorship in predicting long-term research collaboration: A co-authorship matrix-based multivariate time series analysis 预测长期研究合作的依赖性、互惠性和非正式指导：基于合著矩阵的多元时间序列分析

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2023-12-22 DOI: 10.1016/j.joi.2023.101486

Yongjun Zhu , Donghun Kim , Ting Jiang , Yi Zhao , Jiangen He , Xinyi Chen , Wen Lou

{"title":"Dependency, reciprocity, and informal mentorship in predicting long-term research collaboration: A co-authorship matrix-based multivariate time series analysis","authors":"Yongjun Zhu , Donghun Kim , Ting Jiang , Yi Zhao , Jiangen He , Xinyi Chen , Wen Lou","doi":"10.1016/j.joi.2023.101486","DOIUrl":"10.1016/j.joi.2023.101486","url":null,"abstract":"<div><p>In this study, we examine the roles of dependency, reciprocity, and informal mentorship in the prediction of long-term research collaboration in five disciplines. We use co-authorship matrix-based multivariate time series features and interpretable machine learning to train long-term collaboration prediction models and interpret the feature importance of trained models. Overall, long-term research collaboration that is defined using various standards was rare across the examined disciplines, and the prediction results were moderate to good. We found dependency, reciprocity, and informal mentorship to have different roles in different disciplines. Among the three, informal mentorship was important in predicting long-term research collaboration in Agriculture, Geology, and Library and Information Science. Reciprocity, which measures the interdependence between two researchers was important to prediction in the fields of Agriculture and Geology. Finally, dependency was important in all the disciplines with varying degrees of importance.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157723001116/pdfft?md5=1af2273b4c09adab4fb4c30058dc2ad9&pid=1-s2.0-S1751157723001116-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139020323","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

International mobility characteristics, effects of, and effects on elite scientists 国际流动的特点、影响以及对精英科学家的影响

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2023-12-20 DOI: 10.1016/j.joi.2023.101485

Fang Han , Ruhao Zhang , Shengtai Zhang , Junpeng Yuan

{"title":"International mobility characteristics, effects of, and effects on elite scientists","authors":"Fang Han , Ruhao Zhang , Shengtai Zhang , Junpeng Yuan","doi":"10.1016/j.joi.2023.101485","DOIUrl":"10.1016/j.joi.2023.101485","url":null,"abstract":"<div><p>Understanding the international flows of elite scientists is critical to science and talent policies. In this study, using the Scopus data of 78,815 top <em>h-index</em> scientists between 1921 and 2020, we investigate the characteristics of the international mobility of elite scientists, including geographic features, mobility types, and disciplinary characteristics. Our results reveal an increasing number of countries participating in international mobility over the past 2 decades, with North America and some Western European countries still serving as centers. Emerging economies have also become important mobility hubs in recent decades. Mobile scientists who have returned to their home countries have become the dominant mobility type, mainly in the form of short-term mobility. The disciplines of <em>physics and astronomy</em> and <em>engineering</em> have larger shares of mobile scientists than other disciplines, and the average flow frequency of elites varies among 26 observed disciplines. We use a difference-in-differences model to analyze how global mobility affects the individual productivity of elite scientists by distinguishing flow paths. The results indicate that international mobility improves the research performance of elite scientists who move to more scientifically advanced countries and that research quality is most positively impacted when elite scientists move to the United States or move from China.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":null,"pages":null},"PeriodicalIF":3.7,"publicationDate":"2023-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1751157723001104/pdfft?md5=f2f9c96aaf5f336e390bc980a6071645&pid=1-s2.0-S1751157723001104-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138818146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0