Journal of Scientometric Research最新文献_第8页

Scientific Production on Clusters in South America 南美洲集群的科学生产

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.43

Paulo Cassanego Jr, Cristiane Ferreira de Souza Araujo

{"title":"Scientific Production on Clusters in South America","authors":"Paulo Cassanego Jr, Cristiane Ferreira de Souza Araujo","doi":"10.5530/jscires.11.3.43","DOIUrl":"https://doi.org/10.5530/jscires.11.3.43","url":null,"abstract":"The theme that deals with clusters have been discussed incessantly by the academic community. However, despite not being a new issue, it is an issue that needs a broad engagement for its full development. In this context, the general objective of this research is to analyze the state of the art of scientific production on clusters in countries that make up South America, according to the Scopus platform. Based on the principles of social network analysis, the textual corpus available in the context of the terms Cluster OR “Industrial District” OR NOT “Cluster Analysis” from the survey of 300 articles in databases and through the application of selection filters were explored. 150 articles we extracted for the corpus of this research. To data compile, the following softwares we used: HistCiteTM, VOSviewer, Gephi and Iramuteq. The textual analysis modality of the research corpus associated with metric studies was adopted to contextualize the indicators related to production. As a result of this study, a research elite in South America composed of 19 authors, 5 thematic communities called Performance, Cooperation, Innovation, Market and Resources, 31 bibliographic couplings, Brazil as the country that publishes the most articles in the area with 101 documents.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"22 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83215153","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 the Social Impact of Review Articles with Original Research Articles in the Field of Library and Information Science Indexed in WoS WoS中图书馆情报学领域综述文章与原创研究文章的社会影响比较

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.41

A. Doulani, Mahnaz Behpour, Z. Abam

{"title":"Comparison of the Social Impact of Review Articles with Original Research Articles in the Field of Library and Information Science Indexed in WoS","authors":"A. Doulani, Mahnaz Behpour, Z. Abam","doi":"10.5530/jscires.11.3.41","DOIUrl":"https://doi.org/10.5530/jscires.11.3.41","url":null,"abstract":"The purpose of this study was to compare the social impact of review articles with the original research articles in the field of Library and Information Science indexed in Web of Science. This research has been done in terms of the purpose of the applied type and in terms of methodology is survey with the Altmetric analysis approach. The study population in this study consists of review and original research articles in the field of Library amd Information Science. The results of the review of research questions showed that there is a significant difference between review articles and original research articles in terms of reading in Mendeley, sharing on Twitter, receiving citations in Wikipedia, and No significant differences between the reflection of review and original research articles in News media and policy. The results showed, the social impact of review articles was more than original research articles. So the results show the importance of review articles in the body of scientific publications. Accordingly, it is necessary for writers and researchers and subsequently scientific journals, realizing the importance of these articles in the development of science interactions with society, to pay more attention to their acceptance and publication.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"10 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81844801","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

Favourable Effect of Changes on 2020 Journal Citation Reports Calculation: A Pilot Analysis in Immunology Category to Generate “Baits for a Good Catch” in Near Future 对2020年期刊引用报告计算的有利影响:免疫学类别的试点分析，以在不久的将来产生“良好捕获的诱饵”

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.50

J. R. Victor

引用次数: 0

Alzheimer’s Disease: The Intellectual Structure of Brazilian Research before and after the Implementation of the National Agenda for Health Research Priorities 阿尔茨海默病:实施国家卫生研究优先议程前后巴西研究的知识结构

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.35

Angelina Pereira da Silva

{"title":"Alzheimer’s Disease: The Intellectual Structure of Brazilian Research before and after the Implementation of the National Agenda for Health Research Priorities","authors":"Angelina Pereira da Silva","doi":"10.5530/jscires.11.3.35","DOIUrl":"https://doi.org/10.5530/jscires.11.3.35","url":null,"abstract":"Introduction: Alzheimer’s Disease, the most common type of dementia, affects mainly the elderly population and will grow significantly in the coming decades. Objectives: To investigate Brazilian scientific research on Alzheimer’s Disease before and after the implementation of the National Agenda for Health Research Priorities. Methodology: A quantitative research study based on data from Brazilian scientific output on Alzheimer’s Disease collected from the Scopus database in 1974-2005 and 2006-2019. Scientometric methods were used, especially journal and author cocitation analysis. Results: The findings show a growth of original and review articles on Alzheimer’s Disease, published mainly in journals focused on health sciences and authored by researchers from institutions in the Southeast region. The analysis of co-citation journals revealed that Brazilian research on Alzheimer’s Disease, in the first period, was distributed on 72 titles focused on health sciences and, in the second period, 679 titles with broader field coverage. The co-citation authors initially revealed 93 authors co-cited in distant clusters and, in the second period, 1,000 authors co-cited in more connected clusters. Conclusion: Attention is drawn to the strong growth in the Brazilian production of Alzheimer’s Disease after the implementation of the Agenda, as well as to a change in the intellectual structure of research on Alzheimer’s Disease. It is supposed that the Agenda may have acted as a vital element not only for scientific production but also for the release of resources and the participation of researchers, both fundamental actors that would also explain the observed changes.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"25 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83294889","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

The Entire 80-year Research History of Sichuan Snub-nosed Monkeys (Rhinopithecus roxellana): A Citespce-based Bibliometric Study 四川金丝猴(Rhinopithecus roxellana) 80年研究历程:基于引文空间的文献计量学研究

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.37

Zhanran Wang

{"title":"The Entire 80-year Research History of Sichuan Snub-nosed Monkeys (Rhinopithecus roxellana): A Citespce-based Bibliometric Study","authors":"Zhanran Wang","doi":"10.5530/jscires.11.3.37","DOIUrl":"https://doi.org/10.5530/jscires.11.3.37","url":null,"abstract":"The Sichuan snub-nosed monkey (Rhinopithecus roxellana) is a flagship species that has received worldwide attention, and its study is of great importance. In this paper, we analyzed the entire 80 years of research on Sichuan snub-nosed monkeys worldwide with the web of science database as the basic data source and the visualization software CiteSpace to summarize the status of Sichuan snub-nosed monkey research. The study shows that: 1. Throughout the 80 years of Sichuan snub-nosed monkey research, it can be summarized into three developmental stages. During the 57 years from 1942 to 1998, which was the beginning stage of Sichuan snub-nosed monkeys; while during the 8 years from 1999 to 2006, which was the development stage of Sichuan snub-nosed monkeys; from 2007 to the present, which was the peak stage of Sichuan snub-nosed monkey’s research. 2. Investigating the countries/regions, institutions, authors, and core journals of Sichuan snub-nosed monkey research throughout the past 80 years, we found that the research on Sichuan snub-nosed monkey, as an endemic species in China, is still dominated by Chinese research units and personnel, and the research units and researchers from various countries or regions are very close in their research relationships, and the papers published by these researchers are also concentrated in some core journals. 3. Throughout its 80-year history, the subject of Sichuan snub-nosed monkeys has undergone two explosive periods, after which it gradually reached saturation in the research field.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"72 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81722245","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

Quantitative Comparative Analysis of Country University Competitiveness: The Case of the Near East and South East Asian Countries 国家大学竞争力的定量比较分析:以近东和东南亚国家为例

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.38

Vladimir M Moskovkin, T. Saprykina, M. Sizyoongo

引用次数: 0

Mapping of Cross-Lingual Emotional Topic Model Research Indexed in Scopus databases from 2000-2020 2000-2020年Scopus数据库中跨语言情感主题模型研究的映射

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.46

I. H. Musa, Ibrahim Zamit

{"title":"Mapping of Cross-Lingual Emotional Topic Model Research Indexed in Scopus databases from 2000-2020","authors":"I. H. Musa, Ibrahim Zamit","doi":"10.5530/jscires.11.3.46","DOIUrl":"https://doi.org/10.5530/jscires.11.3.46","url":null,"abstract":"The scientific research on Cross-Lingual Emotional Topic models (CLETM) saw rising interest over the years. This study aims to identify the publication trends and growth potential of CLETM studies which will offer a better understanding and potential future research directions using bibliometric tools. All published articles related to ‘Cross Lingual’ or ‘Emotional topic model’ from Scopus were identified and analyzed using Bibliometrix R-package and VOSviewer software. A total of 1,188 publications were identified from 2000 to 2020 published in 429 journals contributed by 2529 authors with a 2.22 collaboration Index and 2.13 authors per document. Lecture Notes in Computer Science are most sources of published papers with 120 articles, h-index 12. The most active country was China with (TNP=145) documents. National Natural Science Foundation of China was the leading organization engaged in CLETM research funding. Li H who is affiliated with the department of Electrical and Computer Engineering, National University of Singapore was the most active author with 17 articles and h-index 9. Tsinghua University is the top author’s affiliation with 30 articles. The findings of this study provide landmarks, baseline information on vital research productivity, and insights into the historical progressions of CLETM research","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"56 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74196033","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: 1

How Effective is Research Funding? Exploring Research Performance Indicators 研究经费的成效如何?探索研究绩效指标

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.34

S. Soroya, M. Umar, N. Aljohani, Anna Visvizi, R. Nawaz

{"title":"How Effective is Research Funding? Exploring Research Performance Indicators","authors":"S. Soroya, M. Umar, N. Aljohani, Anna Visvizi, R. Nawaz","doi":"10.5530/jscires.11.3.34","DOIUrl":"https://doi.org/10.5530/jscires.11.3.34","url":null,"abstract":"This paper deploys bibliometric indices and semantic techniques for understanding to what extent research grants are likely to impact publications, research direction, and co-authorship rate of principal investigators. It includes semantic analysis in the research funding evaluation process to effectively study short-term and long-term funding impact on publication outputs. Our dataset consists of researchers who received research grants from the National ICT Research and Development funding program of Pakistan. Whereas Pakistani researchers’ publications dataset was extracted from Scopus. We show several interesting case studies to conclude that bibliometric-based quantitative assessment combined with semantics can build better sustainable pathways to deploy evaluation frameworks for research funding effectively. The funding data of closed projects from 2007 to 2013 was obtained from ICT R&D public records. The publications dataset was extracted from Scopus data and the details of the statistics were, publications=61,421; researchers=42,376, organizations=213; funded projects=17, funded researchers=23 and funded organizations=10. A significant positive impact (more research output after allocation of funds) has been found for almost all studied organizations. Similarly, a positive funding impact on research output and average co-authorship for the studied cases (investigators under consideration) was found. However, no funding impact was found on the research focus of investigators, i.e., research focus remained almost unchanged after grant allocation. Also, the study suggested the best possible match candidates for collaboration or potential reviewers against the selected project by semantically analyzing the executive summary. Most funded researchers and research organizations have found a positive funding impact on research output (i","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"41 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80543888","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

Scientific Mapping of Gravity Model of International Trade Literature: A Bibliometric Analysis 国际贸易文献引力模型的科学映射:文献计量学分析

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.48

Preeti Sharma, S. Rohatgi, Deepmala Jasuja

{"title":"Scientific Mapping of Gravity Model of International Trade Literature: A Bibliometric Analysis","authors":"Preeti Sharma, S. Rohatgi, Deepmala Jasuja","doi":"10.5530/jscires.11.3.48","DOIUrl":"https://doi.org/10.5530/jscires.11.3.48","url":null,"abstract":"The Gravity Model is the galloper of applied international trade literature. This model allows us to estimate trade-impacts of various trade related policies. Thousands of research studies have applied gravity models in their research works. The purpose of this paper is to look at bibliometric analysis of worldwide publication output based on a gravity model of international trade, as covered by Scopus from 1987 to 2021. The study analyses annual productivity, most productive source titles, prolific countries, eminent institutions, linguistic analysis and productivity of authors and their contribution in the subject area. According to the findings, Estimation of trade variables and projections are the most popular areas of subject specification, while in terms of literature gaps, estimation of economic integration, Extensive and Intensive Margin, and Logistics Performance Index receive less attention. 2019 was the most productive year for research on gravity models in international trade. In terms of contemporary research output, the United States, Germany, Spain, and China are the most productive countries; while as per citation analysis the United States, Germany, and the United Kingdom are the top three countries. The most prolific journals for publishing works in the subject of the gravity model of international trade are Journal of International Economics, American Economic Review, and Review of Economics and Statistics. The study attempts to portray the existing literature more comprehensively by showing research collaborations and bibliographic coupling. The findings of this study can be useful to conduct further studies in the future.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"26 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74765061","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: 2

What Contributes More to the Ranking of HEIs?: Comparative Analysis of Ranking Parameters of India Rankings 2021 in Overall Category using Pearson’s Correlation Coefficient 什么因素对高等院校排名的影响更大?:使用Pearson相关系数对印度2021年整体类别排名参数进行比较分析

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Journal of Scientometric Research Pub Date : 2023-01-06 DOI: 10.5530/jscires.11.3.33

A. K. Nassa, Jagdish Arora, Priyanka Singh, H. Solanki

{"title":"What Contributes More to the Ranking of HEIs?: Comparative Analysis of Ranking Parameters of India Rankings 2021 in Overall Category using Pearson’s Correlation Coefficient","authors":"A. K. Nassa, Jagdish Arora, Priyanka Singh, H. Solanki","doi":"10.5530/jscires.11.3.33","DOIUrl":"https://doi.org/10.5530/jscires.11.3.33","url":null,"abstract":"This study conducts correlation amongst five broad categories of parameters of top 100 ranked institutions in the Overall category of India Rankings 2021 to identify their relative significance. This includes i) inter-correlation; ii) intra-correlation; and iii) year-to-year correlation between ranks and scores of institutions as well as long-term correlation at intervals of five years, i.e. 2017 and 2021. The correlation analysis reveals that while RP (Pearson r = 0.9098), PR (Pearson r = 0.8941), TLR (Pearson r = 0.7118) and GO (Pearson r = 0.5330) are four major categories of parameters that have good to strong correlation with the total overall score as well as with each other, parameters under O & I correlate strongly with each other but neither total score of O &I nor score of its parameters correlate with total Overall score. Year-to-year correlation between ranking of institutions as well as correlation at intervals of five years is near perfect, which reaffirms consistency and reliability of ranking methodology. Based on intra-and inter-correlation analysis conducted on raw data (rather than on its weighted score), the study identifies 12 parameters that have the highest number of correlations with total TLR, RP, GO, PR as well as total overall score with value of Pearson’s r ranging between 0.2500 to 0.9900. These 12 parameters can potentially constitute a compact and coherent set of ranking indicators on which HEIs can focus and ranking agencies may consider regrouping and redistributing weightage to these 12 indicators.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"13 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86636461","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