Journal of Scientometric Research最新文献_第3页

Clustering Scientometrics of Computer Science Journals for Subarea Decomposition 面向子区域分解的计算机科学期刊聚类科学计量学

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.034

Priti Kumari, Rajeev Kumar

引用次数: 0

Universities Patent Quality Indicators (UPQI): A Bibliometric and Systematic Review 高校专利质量指标(UPQI):文献计量学与系统评价

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.027

Ueliton da Costa Leonidio, D. D. O. Cardoso, C. G. De Souza

{"title":"Universities Patent Quality Indicators (UPQI): A Bibliometric and Systematic Review","authors":"Ueliton da Costa Leonidio, D. D. O. Cardoso, C. G. De Souza","doi":"10.5530/jscires.12.2.027","DOIUrl":"https://doi.org/10.5530/jscires.12.2.027","url":null,"abstract":"University patent filings have increased worldwide over the years. However, in addition to quantity, it is important to evaluate the quality of these patents. Some studies have addressed this issue, but most of them are limited to analyzing a single or few quality indicators applied in specific areas. The literature on the subject is fragmented, so it is important to summarize this content and generate a systematized knowledge. In order to reduce this gap in the literature, this article focuses on University Patent Quality Indicators (UPQI) aiming to identify the metrics that have been used to evaluate the quality of these documents. Based on a bibliometric and systematic review, the study presents bibliometric indicators, scientific collaboration networks, keyword co-occurrence, and bibliographic coupling, as well as quality indicators found in the literature. The survey of publications was conducted on the Web of Science database. Out of a total of 760 articles, 68 were selected to present research in the field of UPQI. The results show an organized set of metrics and other information that can be used by managers, researchers and funding agencies to guide policies and decision-making that contribute to promoting technological development and partnerships with the productive sector.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"62 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87005297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Use of Bibliometrics-Related Terms, their Evolution, and the Growth of Metrics in Science 文献计量学相关术语的使用及其演变，以及计量学在科学中的发展

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.048

Yves Fassin, Ronald Rousseau

引用次数: 1

Global Trends in Silicon Carbide Biosensor Research: A Bibliometric Study 碳化硅生物传感器研究的全球趋势:文献计量学研究

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.033

Jishant Talwar, Ashutosh Bhardwaj, Namrata Dewan Soni

{"title":"Global Trends in Silicon Carbide Biosensor Research: A Bibliometric Study","authors":"Jishant Talwar, Ashutosh Bhardwaj, Namrata Dewan Soni","doi":"10.5530/jscires.12.2.033","DOIUrl":"https://doi.org/10.5530/jscires.12.2.033","url":null,"abstract":"Silicon carbide (SiC) is a versatile industrial material and has been in use in various spheres because of its distinctive electrical and thermal properties. Among various fields, it has contributed significantly to biosensor technologies because it is both bio and hemo-compatible. Of particular interest in this study is its potential for biomedical applications. Although about 907 SiC-based biosensor articles have been published in the past 20 years (2000–2022), not many review articles have encapsulated the advancement and uses of the SiC-based biosensor. In order to better understand the development stage, research hives, and future advancement trends of SiC-based biosensor technology, it is essential to perform a broad retrospective investigation. The present study aims to explore the potential of SiC-based biosensors and their distinct features for interdisciplinary collaborations, utilizing machine learning through big data analytics. By reviewing research in this field, the study seeks to uncover global trends, challenges, and gaps in SiC-based biosensor research, as well as identify new research areas and technologies that could advance biosensor technology. By conducting the analysis, this study provides insights into the most impactful articles and top contributors to biosensor research, including journals, authors, institutions, and countries. Additionally, the study examines the methodological approaches and research contexts employed in this field. Results suggest that one of the evolving technological paths in biosensors is the use of silicon carbide-based biosensors and medical devices, which in turn are poised to transform into the commercial sphere. The main characteristics of these emerging research grounds and technologies in biosensors are illustrated for the productive effects of research and innovation policy that led to scientific advances and technological change in society.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"129 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75343268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparison of Stanford Encyclopedia of Philosophy and Wikipedia Articles’ References: In Search of Evidence for Wikipedia Credibility 斯坦福哲学百科全书与维基百科文章参考文献的比较:为维基百科可信度寻找证据

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.043

H. Atapour, Sonia Khalilzadeh, Rasoul Zavaraqi

{"title":"Comparison of Stanford Encyclopedia of Philosophy and Wikipedia Articles’ References: In Search of Evidence for Wikipedia Credibility","authors":"H. Atapour, Sonia Khalilzadeh, Rasoul Zavaraqi","doi":"10.5530/jscires.12.2.043","DOIUrl":"https://doi.org/10.5530/jscires.12.2.043","url":null,"abstract":"In search of evidence for Wikipedia credibility, this study aims to compare and analyze articles’ references of Wikipedia and Stanford Encyclopedia of Philosophy. This research approach is quantitative and has been done using bibliometric methods and citation analysis. The statistical sample of the research were 5% of the SEP entries (84 from 1685) and their equals on Wikipedia. The samples were selected randomly and systematically, then their references were analyzed and compared. The findings showed that the frequency of SEP references was about 3.5 times more than Wikipedia. The overlap of two encyclopedia's references was 2.47% of the total references. The half-life of the SEP references was significantly longer than Wikipedia. In both encyclopedias, the main resources which were used included books, journals, and websites. Regarding language of references, most of the references of both encyclopedias was in English, and citations to other language resources in both encyclopedias were almost similar. The percentage of open access and inaccessible resources on Wikipedia was higher than the SEP, while the percentage of non-open access references in the SEP was higher than Wikipedia. Finally, a comparison of the citations received by the two encyclopedia articles’ references showed that the citations received by Wikipedia references were significantly higher than SEP. This article compares the similarity of two known encyclopedias through comparison of their entities' references. Despite the similarities in the referencing pattern of the two encyclopedias, their information content comes from different resources and comparison articles’ references of Wikipedia with SEP provide no evidence for Wikipedia's credibility.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"13 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88254938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Exploratory Study of Scholarly Platforms and Features to Help Emerging Scholars Gain Visibility in the Scholars’ Community 帮助新兴学者在学者群体中获得知名度的学术平台与特征探索性研究

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.044

Mitali Desai, R. Mehta, Dipti P Rana

{"title":"An Exploratory Study of Scholarly Platforms and Features to Help Emerging Scholars Gain Visibility in the Scholars’ Community","authors":"Mitali Desai, R. Mehta, Dipti P Rana","doi":"10.5530/jscires.12.2.044","DOIUrl":"https://doi.org/10.5530/jscires.12.2.044","url":null,"abstract":"Among available scholarly features on digitized scholarly platforms, certain features have high significance in assessing scholar's influence. If these features are identified, using them legitimately, emerging scholars can increase their influence and gain visibility in the scholars’ community. The purpose of this research is to identify and rank significant features on scholarly platforms. To select a data source, a comparative analysis of well-known scholarly platforms is performed. Based on the analysis, ResearchGate (RG) is selected. For RG, this research proposes a methodology to identify and rank significant scholarly features. The results demonstrate that for the rendered RG data, identified significant features in the order of their significance are number of citations, research items, followers, reads, recommendations, followings and projects. Significant features discovered in this research can be employed by various scholarly platforms to identify influential scholars. These scholars can be utilized in applications such as expert finding, influence ranking, recommendation systems, interdisciplinary collaborations etc. Moreover, the identified significant features will help scholars in focusing on certain aspects (features) to increase their influence legitimately.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"12 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78455748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Indian Science Reports: A Portal for Comprehensive Mapping of S&T Data and Analytics for India at an Overall and Institutional Level 印度科学报告:一个在整体和机构层面为印度全面绘制科技数据和分析的门户

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.046

Vivek Kumar Singh, Anurag Kanaujia, Prashasti Singh, Abhirup Nandy

引用次数: 0

Implementing Quantitative Declarations of Authorship Contribution: A Call to Action 实施作者贡献的定量声明:行动呼吁

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.039

Mohammad Tariqur Rahman, J. V. Verhagen

引用次数: 0

Independent Researchers: A Bibliometric Analysis 独立研究者:文献计量学分析

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.026

Brady Lund, Amrollah Shamsi, Arezoo Ghamgosar, N. Vasantha Raju, Hossein Dehdarirad, Mohammad Javad Mansourzadeh

{"title":"Independent Researchers: A Bibliometric Analysis","authors":"Brady Lund, Amrollah Shamsi, Arezoo Ghamgosar, N. Vasantha Raju, Hossein Dehdarirad, Mohammad Javad Mansourzadeh","doi":"10.5530/jscires.12.2.026","DOIUrl":"https://doi.org/10.5530/jscires.12.2.026","url":null,"abstract":"Independent Researchers (IRs), namely unaffiliated or voluntary researchers, are a small yet important and distinct population of contributors to scholarly discourse. Due to their small number, IRs rarely receive attention in debates regarding scholarly publishing but the distinctiveness of the unaffiliated researchers warrants further examination. Documents were extracted from the Web of Science. Bibliometric parameters were as follows: main scientometric characteristics, citations analysis, publishing trends, geographical distributions, most productive countries, co-authorship network of countries, top funding sources, research areas, keyword co-occurrence network, top cited publications, top productive journals and gender of IRs. 3357 documents were retrieved that were individually or collaboratively authored by 3784 IRs from 1980-2021. There were 589 single-authored documents. More than 70% of documents were research articles, followed by meeting abstracts (8.66%). All documents received 52279 citations, with 19.45 average citations per document. Private Practice was the most affiliation format of IRs. Publications started to grow since 2000, with almost 40% of them published from 2017-2021. The United States published almost half of all IRs-related publications. Most of the research funding was primarily contributed by government agencies, with the United States being a major player in this regard. Also, many IRs are active in medical disciplines research, and are highly collaborative, often with multiple Co-authors. 33.5% of IRs authors were women and 66.5% were men. This understanding of IRs illustrates the importance of this group and encourages further research and support for this population of science contributors.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"51 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90808576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring Lexical Richness in English-Language theses Across Disciplines: A Comparative Analysis 跨学科英语论文词汇丰富性的比较分析

IF 0.8

Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.042

A. Müngen

引用次数: 0