Journal of Informetrics最新文献_第10页

The fading of status bias during the open peer review process 公开同行评审过程中地位偏见的消退

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-04-03 DOI: 10.1016/j.joi.2024.101528

Zhuanlan Sun , Ka Lok Pang , Yiwei Li

{"title":"The fading of status bias during the open peer review process","authors":"Zhuanlan Sun , Ka Lok Pang , Yiwei Li","doi":"10.1016/j.joi.2024.101528","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101528","url":null,"abstract":"<div><p>The growing number of preprints allows reviewers to identify the authors’ identities prior to the peer review process. Yet, it remains unclear whether the preprint exposure of prestigious authors to reviewers is correlated with review features. Here, we employed the linear regression model to examine this relationship. By collecting open peer review reports of 2,059 papers published in <em>Nature Communications</em> in 2019 within the fields of biological and health sciences, we found no obvious difference in review features when the identities of authors with different academic prestige are potentially exposed to reviewers. Specifically, no significant effect was observed on the number of questions raised and the sentiments of the review reports (positivity and subjectivity) in the first round of the peer review process. Moreover, we found no evidence that review features from anonymous reviewers were more positively or subjectively expressed than those with reviewers’ names publicly available. The results persisted even when assuming all papers were under single-blind peer review, which were validated by using the <em>eLife</em> data. This study indicates that papers with both prestigious and less well-known authors are treated equally during the open peer review process, which contributes to the ongoing discourse on the fairness of peer review within the scientific community.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 3","pages":"Article 101528"},"PeriodicalIF":3.7,"publicationDate":"2024-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140341589","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

Scientific impact analysis: Unraveling the link between linguistic properties and citations 科学影响分析：揭示语言特性与引文之间的联系

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-29 DOI: 10.1016/j.joi.2024.101526

Priya Porwal , Manoj H. Devare

{"title":"Scientific impact analysis: Unraveling the link between linguistic properties and citations","authors":"Priya Porwal , Manoj H. Devare","doi":"10.1016/j.joi.2024.101526","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101526","url":null,"abstract":"<div><p>The Scholar's success is indicated by the number of citations it received for its publication. Examining the correlation between the linguistic attributes of scholarly publications and their scientific influence holds significant importance. This study analyzed 1000 research papers by highly ranked authors from computer science and electronics backgrounds. The title, abstract, and conclusion sections of the paper were analyzed. This study utilizes readability, lexical diversity, lexical density, syntactic features, and coherence measures to establish the correlation between citations and the textual content of an article. The characteristics of the publication were evaluated in relation to its research impact, which was classified into two categories, high citations and low citations. Additionally, the influence of various aspects on citations was assessed through the utilisation of the negative binomial regression model, ordinary least square model, and spearman correlation. This analysis took into account the characteristics of length and structure. The results highlight a clear positive link between abstract readability, and number of references with increased citations. Additionally, each additional page contributes to a 0.2 % increase in citation count. However, the number of diagrams and conclusion readability show no significant connection with citations. Factors like title length, abstract length, and conclusion length also exhibit associations, though with slightly lower percentages. The results indicate that linguistic characteristics exert a limited impact on the acquisition of citations.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 3","pages":"Article 101526"},"PeriodicalIF":3.7,"publicationDate":"2024-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140328361","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

Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance 科学论文的跨学科性对引文扩散持久性的影响：从引文中断的角度看

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-27 DOI: 10.1016/j.joi.2024.101525

Jianhua Hou , Hao Li , Yang Zhang

{"title":"Influence of interdisciplinarity of scientific papers on the durability of citation diffusion: A perspective from citation discontinuance","authors":"Jianhua Hou , Hao Li , Yang Zhang","doi":"10.1016/j.joi.2024.101525","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101525","url":null,"abstract":"<div><p>Whether interdisciplinarity leads to greater success in research remains a question that is still unresolved. Investigating the impact of interdisciplinarity of scientific papers on the durability of their citation diffusion is of significant importance. Combining the concept of discontinuance in the theory of innovation diffusion and citation trajectory scenarios, this study proposes the definition and measurement indicators of <em>Citation Discontinuance</em> (CD), and examines the feasibility of using CD as a descriptor for the durability of citation diffusion. Using CD-related features as the dependent variable, hierarchical multiple regression is employed to explore the influence of interdisciplinarity of scientific papers on the durability of citation diffusion. The findings reveal that CD is commonly observed in citation diffusion and can serve as an indicator for describing the durability of citation diffusion. From the perspective of CD, the interdisciplinarity of scientific papers shows a positive impact on the durability of citation diffusion. This effect will also vary by discipline.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 3","pages":"Article 101525"},"PeriodicalIF":3.7,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140309073","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 new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques 基于研究人员合作和相似性测量技术计算研究学科间距离的新方法

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-25 DOI: 10.1016/j.joi.2024.101527

Bram Vancraeynest , Hoang-Son Pham , Amr Ali-Eldin

{"title":"A new approach to computing the distances between research disciplines based on researcher collaborations and similarity measurement techniques","authors":"Bram Vancraeynest , Hoang-Son Pham , Amr Ali-Eldin","doi":"10.1016/j.joi.2024.101527","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101527","url":null,"abstract":"<div><p>The measurement of distance between research disciplines involves various approaches, with a focus on publication citation analysis. However, calculating discipline distance requires more than just selecting relevant information; it also involves choosing suitable quantification methods and similarity measures. In this paper, we introduce a novel approach to measuring the distance between research disciplines, referred to as a distance matrix. This approach is particularly useful when there is limited availability of citation data, providing an alternative method for quantifying the distance between disciplines. Our method counts co-occurrences of disciplines based on researcher collaborations in projects and evaluates various similarity measures to convert the co-occurrence matrix into a similarity matrix. We analyze the behavior of different similarity measures and propose functions to transform the similarity matrix into a distance matrix, capturing research discipline dissimilarity effectively. Additionally, we establish evaluation criteria for distance matrix quality. We implement our approach on the Flanders Research Information Space dataset, showing promising results. The distance matrix demonstrates satisfactory density scores, outperforming traditional approaches in skewness and deviation. The probability density functions of distances remain consistent over time, indicating stability. Furthermore, the distance matrix proves valuable for visualizing discipline profiles associated with the dataset, providing valuable insights.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 3","pages":"Article 101527"},"PeriodicalIF":3.7,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140290837","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

Halt the ongoing decoupling and reboot US-China scientific collaboration 停止正在进行的脱钩，重新启动中美科学合作

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-16 DOI: 10.1016/j.joi.2024.101521

Li Tang

{"title":"Halt the ongoing decoupling and reboot US-China scientific collaboration","authors":"Li Tang","doi":"10.1016/j.joi.2024.101521","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101521","url":null,"abstract":"<div><p>This study reveals that, following bilateral reduced international visitation and academic exchange, Sino-American scientific collaboration is positioned at a turning point in a declining course. American international students originating from China have declined by nearly 22 %, and American students studying in China plummeted to 1.8 % of the number in 2018–2019. US-China interdependence in scientific collaboration has also reduced remarkably. At the same time, the concentration of influential research collaborated between the United States and China is consistently greater than both nations’ research outputs. Following the discussion of possible substitutes and the roles of American and Chinese researchers in global basic science and emerging issues, I argue that the two nations are so entwined in scientific collaboration that an adversarial rivalry perspective misses much of reality. In the face of rising uncertainties and global disasters, humanity does not have time to waste on nationalistic competitions. It is time for visionary leadership from both countries to promote intellectual exchange and scientific collaboration to address pressing global challenges.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101521"},"PeriodicalIF":3.7,"publicationDate":"2024-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140138145","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

International mobility matters: Research collaboration and scientific productivity 国际流动很重要：研究合作与科学生产力

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-13 DOI: 10.1016/j.joi.2024.101522

Jiangwei Gu, Xuelian Pan, Shuxin Zhang, Jiaoyu Chen

{"title":"International mobility matters: Research collaboration and scientific productivity","authors":"Jiangwei Gu, Xuelian Pan, Shuxin Zhang, Jiaoyu Chen","doi":"10.1016/j.joi.2024.101522","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101522","url":null,"abstract":"<div><p>In this study, we examine the impact of government-sponsored international mobility on researchers’ scientific collaboration and productivity. To identify causal effects, we use a longitudinal dataset covering internationally mobile doctoral students sponsored by the China Scholarships Council for non-degree studies and non-mobile doctoral students while implementing a combined propensity-score matching and difference-in-differences approach. We find that international mobility has a significantly positive impact on researchers’ scientific collaboration and research output. Our findings suggest that international mobility influences individuals’ research output by increasing the size of collaboration teams. We further find that the effects of international mobility are heterogeneous, that they vary significantly across gender, prestige of doctoral institution, mobility time and destination: male researchers gain more benefits from international mobility in the numbers of collaborators and papers; mobility in early years are more beneficial in increasing collaborators; mobility to Asia and Oceania is most beneficial in improving research quality. These findings provide a deeper understanding of how international mobility shapes researchers’ academic performance and have implications for the policy formulation on government-sponsored international mobility.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101522"},"PeriodicalIF":3.7,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140113825","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 knowledge evolution in computer science from the perspective of academic genealogy 从学术谱系的角度识别计算机科学的知识演变

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-10 DOI: 10.1016/j.joi.2024.101523

Zhongmeng Fu , Yuan Cao , Yong Zhao

{"title":"Identifying knowledge evolution in computer science from the perspective of academic genealogy","authors":"Zhongmeng Fu , Yuan Cao , Yong Zhao","doi":"10.1016/j.joi.2024.101523","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101523","url":null,"abstract":"<div><p>Academic genealogy (AG) provides valuable insights into the transmission of knowledge from mentors to mentees, revealing the evolution of knowledge within the academic community. This study explores the intricate dynamics of knowledge evolution within academic genealogies, utilizing on a dataset comprising 16,852 computer science researchers, 613,277 papers, and 11,988 mentorship relationships. By focusing on small-scale knowledge units, our analysis aims to uncover patterns of knowledge inheritance and mutation across different subfields of computer science and highlights several aspects of knowledge evolution in computer science. Firstly, computer science is characterized by strong mentorship ties, indicating the significance of knowledge transmission within the field. Additionally, there is a mix of foundational and developing areas, suggesting a field that is growing and diversifying rather than declining, as indicated by linear regression outcomes. Secondly, our research reveals a surge in collaborative knowledge exchange in computer science since 2000, with fields such as Computer-Communication Networks and Software Engineering leading in terms of output and impact. Furthermore, areas like Computer Graphics and Artificial Intelligence stand out for their depth and novelty. Thirdly, we categorize researchers into three types: roots, branches, and leaves, reflecting their role in knowledge transmission. Branch researchers tend to innovate, while leaf researchers show a combination of traditional knowledge uptake and new contributions, illustrating the dynamic flow of ideas within the field. Future research endeavors are encouraged to embrace larger datasets and further fortify our understanding of the topic.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101523"},"PeriodicalIF":3.7,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140069346","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 complement to the novel disruption indicator based on knowledge entities 对基于知识实体的新型干扰指标的补充

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-08 DOI: 10.1016/j.joi.2024.101524

Tong Tong , Wanru Wang , Fred Y. Ye

{"title":"A complement to the novel disruption indicator based on knowledge entities","authors":"Tong Tong , Wanru Wang , Fred Y. Ye","doi":"10.1016/j.joi.2024.101524","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101524","url":null,"abstract":"<div><p>Following the proposal of disruption index (<em>DI</em>) for detecting scientific breakthroughs based on citation patterns, a recently introduced knowledge entity-based disruption (<em>ED</em>) index incorporates both citation patterns and knowledge elements. In this study, we investigate the applications and limitations of the <em>ED</em> series indicators by employing two datasets from different fields within the Web of Science database, providing some insights that complement the use of <em>ED</em> series indicators. For the genome editing dataset, we validate the consistency across the <em>ED</em> series indicators based on different knowledge entities, specifically MeSH terms and KeyWords Plus. In the case of the h-set dataset, where no MeSH terms were matched, our focus is on comparing the performance of the <em>ED</em> series indicators based on KeyWords Plus with other representative disruption indicators in small datasets. When considering the two datasets of the “stem” and “seed” papers obtained by the seed algorithm as reference objects and calculating their <em>DI</em> and <em>ED</em> series indicators, the results indicate that the values of <em>DI</em> series indicators of “seed” papers exhibit higher values compared to the <em>ED</em> series indicators. From a statistics perspective, there are no significant differences in the <em>ED</em> series indicators when employing different knowledge entities, despite variations in their rankings. Based on the results and discussions of this study, we provide guidance on application of <em>ED</em> series indicators and potential refinements in subsequent studies.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101524"},"PeriodicalIF":3.7,"publicationDate":"2024-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140067027","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 internal dynamics of journals’ h-cores over time 期刊 h-cores 的内部动态随时间变化

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-03-07 DOI: 10.1016/j.joi.2024.101518

Yves Fassin

{"title":"The internal dynamics of journals’ h-cores over time","authors":"Yves Fassin","doi":"10.1016/j.joi.2024.101518","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101518","url":null,"abstract":"<div><p>The objective of this article is to study, empirically, the evolution of the h-indexes of academic journals and the internal dynamics of their h-core and h²-core over time. The h-indexes describe a situation at a given moment in time; they are dynamic indicators.</p><p>As citations grow over time, the h-index and the h-core grow.</p><p>In this paper, the composition of the h-core over time is analyzed with an example of practical application, based on data from the Journal of Business Ethics, and complemented with three other journals. The results show how the composition of the h-core varies over time. As the h-index yearly expands, new additional articles enter the h-core, while other articles disappear to make room for newcomers. Only those articles remain that sustain a citation growth rate with an average around the average growth rate of the h-index. In a mature journal, as in our example, it takes a few years to enter the h-core, generally about ten years.</p><p>A similar entry and exit phenomenon also appears at the level of the h²-core and h³- core, which remain more stable.</p><p>The ha-core also has a dynamic evolution where new entrants arrive more quickly, which confirms the advantage of the ha-index that acknowledges potential papers earlier</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101518"},"PeriodicalIF":3.7,"publicationDate":"2024-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140061934","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

Early identification of breakthrough research from sleeping beauties using machine learning 利用机器学习从睡美人中及早发现突破性研究成果

IF 3.7 2区管理学

Journal of Informetrics Pub Date : 2024-02-26 DOI: 10.1016/j.joi.2024.101517

Xin Li, Xiaodi Ma, Ye Feng

{"title":"Early identification of breakthrough research from sleeping beauties using machine learning","authors":"Xin Li, Xiaodi Ma, Ye Feng","doi":"10.1016/j.joi.2024.101517","DOIUrl":"https://doi.org/10.1016/j.joi.2024.101517","url":null,"abstract":"<div><p>Breakthrough research is groundbreaking and transformative scientific research that can lead to new frontiers and even trigger substantial changes in the scientific paradigm. Early identification of breakthrough research is crucial for scientists, R&D experts, and policymakers. \"Sleeping Beauty in Science\" is a category of papers characterized as \"delayed recognition\", which is considered as the crucial carriers of breakthrough research. Machine learning methods can extract and learn high-quality information from a priori knowledge to predict future trends. In this paper, to address the shortcomings of existing studies on the early identification of breakthrough research, we propose a framework for identifying breakthrough research from sleeping beauties using machine learning. In this framework, we first construct machine learning models to obtain the relationship patterns between historical sleeping beauties and their citation trends. Then, we use these relational patterns to identify potential sleeping beauties. Secondly, we construct a breakthrough index based on the essential features of breakthrough research, then we apply it to identify breakthrough research among potential sleeping beauties, enabling the early identification of breakthrough research. Finally, an empirical study is conducted in the chemistry research field to verify the validity and flexibility of this framework. The results show that the framework can effectively identify breakthrough research from sleeping beauties. This paper contributes to the early identification of breakthrough research, evaluating academic results, and exploring research frontiers. Additionally, it will also provide methodological support for the decision-making of R&D experts and policymakers.</p></div>","PeriodicalId":48662,"journal":{"name":"Journal of Informetrics","volume":"18 2","pages":"Article 101517"},"PeriodicalIF":3.7,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139985750","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