Journal of Scientometric Research最新文献_第7页

Previous Year’s Cite Score Strongly Predicts the Next Year’s Score: Ten Years of Evidence for the Top 400 Scopus-indexed Journals of 2021 前一年的引用分数有力地预测了明年的分数:2021年scopus索引前400种期刊的十年证据

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.020

Atul Kumar, Jaiprakash M. Paliwal, Vinaydeep Brar, Mahesh Singh, Prashant R Tambe Patil, S. Raibagkar

{"title":"Previous Year’s Cite Score Strongly Predicts the Next Year’s Score: Ten Years of Evidence for the Top 400 Scopus-indexed Journals of 2021","authors":"Atul Kumar, Jaiprakash M. Paliwal, Vinaydeep Brar, Mahesh Singh, Prashant R Tambe Patil, S. Raibagkar","doi":"10.5530/jscires.12.2.020","DOIUrl":"https://doi.org/10.5530/jscires.12.2.020","url":null,"abstract":"Over the last few years, CiteScore has emerged as a popular metric to measure the performance of Journals. In this paper, we analyze CiteScores of the top 400 Scopus-indexed journals of 2021 for years from 2011 to 2021. Some interesting observations emerged from the analysis. The average CiteScore of the top 400 journals doubled from 16.48 in 2011 to 31.83 in 2021. At the same time, the standard deviation has almost trebled from 13.53 in 2011 to 38.18 in 2021. The CiteScores also show sizable increases for skewness and kurtosis, implying major variations in the CiteScores of the journals for a year. Importantly, the previous year’s CiteScores strongly predict the next year’s scores. This has been observed consistently for the last ten years. The average Pearson correlation coefficient between the preceding and succeeding years’ CiteScores for the ten years is 0.98. We also show that it is easily possible for even people with just basic knowledge of computers to forecast the CiteScore. Researchers can predict CiteScores based on the past year’s CiteScores and decide better about publishing their current research in a journal with an idea about its likely CiteScore. Such a forecast can be useful to publishers, editorial staff, indexing services, university authorities, and funding agencies.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80642455","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

Identification and Visualization of the Knowledge Landscape of Menstrual Health Research in India: 1996-2020 印度月经健康研究知识景观的识别和可视化:1996-2020

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.036

Anjali Yadav, Arpana Pandey, Chanchal Chanchal

{"title":"Identification and Visualization of the Knowledge Landscape of Menstrual Health Research in India: 1996-2020","authors":"Anjali Yadav, Arpana Pandey, Chanchal Chanchal","doi":"10.5530/jscires.12.2.036","DOIUrl":"https://doi.org/10.5530/jscires.12.2.036","url":null,"abstract":"Menstrual health has reaped much attention with a swift increase in the related literature. This study intended to map the knowledge landscape of menstrual health research in India using a scientometric and information visualization approach. The scientometric analysis of Scopus data on parameters like publication output, publication share, growth rate, prolific authors, authorship pattern, scientific fields, citation analysis, international collaboration, etc., has been conducted. 52257 publications were produced globally during the study period, with 2668 papers from India. The majority of these research output is collaborative and multi-authored. America is the most productive country and India's top collaborative associate in menstrual studies. All India Institute of Medical Sciences and Clinical and Diagnostic Research journal is the most efficient institute and journal. Moreover, menstrual health, menstrual cycle and menstrual hygiene, menstrual syndrome, and studies on the function of hormones in menstruation were diagnosed as the mainstream topics in the fields of menstrual health. The study's findings will offer proof of the current status and trends in menstrual health. They will assist researchers and policymakers in understanding the panorama of menstrual health and expecting the dynamic research guidelines.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89615495","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

Strengthen of a Scientific Field in Latin America: Evolutionary Computation 拉丁美洲科学领域的加强:进化计算

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.025

Ma. Elena Luna-Morales, M. A. Pérez-Angón, Evelia Luna-Morales

{"title":"Strengthen of a Scientific Field in Latin America: Evolutionary Computation","authors":"Ma. Elena Luna-Morales, M. A. Pérez-Angón, Evelia Luna-Morales","doi":"10.5530/jscires.12.2.025","DOIUrl":"https://doi.org/10.5530/jscires.12.2.025","url":null,"abstract":"We carried out a bibliometric analysis of the research production in the field of evolutionary computation in Latin America (LA) for the period 1980-2020. The bibliometric method is applied with a quantitative review of the published literature. The search for publications was carried out in the Web of Science database through the terms that are most commonly used to identify this field of study. The data analysis the data analysis used Microsoft Office tools (excel and Access) to organize our data were used to organize our data: authors, institutions, journals, countries and thematic categories. It was completed with VOS Viewer 1.8.16 to generate a co-authorship network map of authors, and the development of base maps for collaboration by countries. We have identified the first Latin American publications in the journals Archivos de Biologia y Medicina Experimentales and Desarrollo Economico-Revista de Ciencias Sociales; this research field reached a consolidation in the 2000s with the opening of the first graduate programs in this geographical region; there is an extraordinary number of LA scholars active in this research field and an increasing number of academic institutions mainly from Brazil, Mexico, Argentina, Chile and Colombia; while the Asian and European production in this research field is about 30%, the respective LA contribution is just 4.9%. The present study attempts to document the progress of evolutionary computation in Latin America, an issue that has gained relevance for society, especially in recent years. No studies have been generated that cover the Latin American region, and therefore it is hoped that these findings will be useful for the development of scientific and public policies and also for other future work.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84211964","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

Indicators for the Evaluation of Science, Technology and Innovation Activities: A Systematized Review 科学、技术和创新活动评价指标:系统评价

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.041

Roelvis Ortiz-Núñez, Stephany Novo-Castro, Ricardo Casate-Fernández

{"title":"Indicators for the Evaluation of Science, Technology and Innovation Activities: A Systematized Review","authors":"Roelvis Ortiz-Núñez, Stephany Novo-Castro, Ricardo Casate-Fernández","doi":"10.5530/jscires.12.2.041","DOIUrl":"https://doi.org/10.5530/jscires.12.2.041","url":null,"abstract":"The article aimed to develop a systematic review of the scientific literature about indicators for the evaluation of science, technology and innovation activities. For this, the Web of Science, Scopus and Google Scholar databases were used. Through the application of the SysteRe-HSS methodology, 96 publications were selected that formed the basis for a descriptive model of the science, technology and innovation indicators. The results of the research showed that there is a predominance of indicators related to the evaluation of innovation activities, human resources allocated to the activity of science, technology and innovation, financial resources and investments in research plus development, and indicators related to bibliometrics and scientometrics. However, challenges are faced related to measuring indicators of social innovation, linking insights from existing innovation measurement approaches with the essential features of social innovation, measuring the impact of social appropriation practices of science and technology, and the next generation metrics, responsible metrics and evaluation for open science, as well as alternative indicators for the evaluation of the social impact of research in web 2.0.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78278245","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

Discovering Search Space Using M-distance Clustering of Semantic Relatedness Based Weighted Network for the Content-based Recommender System 基于语义关联的加权网络m距离聚类发现搜索空间的内容推荐系统

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.024

Mayur Makawana, Rupa G. Mehta

{"title":"Discovering Search Space Using M-distance Clustering of Semantic Relatedness Based Weighted Network for the Content-based Recommender System","authors":"Mayur Makawana, Rupa G. Mehta","doi":"10.5530/jscires.12.2.024","DOIUrl":"https://doi.org/10.5530/jscires.12.2.024","url":null,"abstract":"As part of the research process, relevant documents are identified to keep up with the latest advancements in the domain. Document recommendation systems are used by researchers as a means of accomplishing this goal. Textual content, collaborative filtering, and citation information-based approaches are among the proposed approaches for the recommendation systems. Content-based techniques take advantage of the entire text of papers and produce more promising results, but comparing input document text data to every document in the dataset is not practical for the content-based recommender system. This study looks into the possibility of using bibliographic data to reduce the number of comparisons. The proposed system is based on the assumption that two scientific papers are semantically connected if they are co-cited more frequently than by chance. The likelihood of co-citation, also known as semantic relatedness, can be used to quantify this connection. This work presents a new way to distribute the weight among connected scholarly documents based on a semantic relatedness score. Our proposed solution eliminates a substantial amount of needless text comparisons for the system by gathering scholarly document pairs with high likelihood values and using them as a search area for the content-based recommender system. By spreading the co-citation relationship out to certain distances, the proposed approach can find relevant documents that are not found by traditional co-citation searches. The results reveal that the system is capable of reducing computations by a significant margin and of detecting false positive situations in content comparison using Doc2vec.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85691159","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

Energy Recovery from Biogas in Domestic Waste Water Treatment Plant in the Last 5 Decades: A Bibliometric Analysis 近50年生活污水处理厂沼气能源回收:文献计量分析

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.031

Paula Marques Borges Vinhas Porto, Sabrina de Oliveira Anício, Rodrigo Nogueira Vasconcelos, T. Malheiros, Washington de Jesus Sant’Anna da Franca Rocha

{"title":"Energy Recovery from Biogas in Domestic Waste Water Treatment Plant in the Last 5 Decades: A Bibliometric Analysis","authors":"Paula Marques Borges Vinhas Porto, Sabrina de Oliveira Anício, Rodrigo Nogueira Vasconcelos, T. Malheiros, Washington de Jesus Sant’Anna da Franca Rocha","doi":"10.5530/jscires.12.2.031","DOIUrl":"https://doi.org/10.5530/jscires.12.2.031","url":null,"abstract":"Biogas, a by-product of effluent treatment, is increasingly no longer seen as a passive, taking on the role of an asset. This work carried out a bibliometric study of the world production of biogas from domestic wastewater, focusing on the evolution of knowledge over the decades. For this purpose, a search for scientific articles was carried out in the Scopus database and, from the documents obtained, a review of literature was developed to access information and reveal quantification patterns. The analysis of the graphs and networks generated proved efficient in the exploratory study of the scientific and technological evolution of biogas from domestic sewage, making it possible to observe a highlight for the recovery of dissolved methane, as well as for the gains in reducing emissions of GHG from biogas reuse, in addition to the focus on nutrient and energy recovery, which underscores the importance of anaerobic processes for obtaining energy and nutrient conservation, as well as their potential contribution to achieving the goals related to the Sustainable Development Goals.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78651924","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

Topical Analysis of Scientific Publications on Drug-Resistant Tuberculosis Using Bibliometric and Text Mining Techniques 利用文献计量学和文本挖掘技术对耐药结核病科学出版物进行专题分析

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.037

Jalal Mardaneh, Reza Ahmadi, M. Dastani

{"title":"Topical Analysis of Scientific Publications on Drug-Resistant Tuberculosis Using Bibliometric and Text Mining Techniques","authors":"Jalal Mardaneh, Reza Ahmadi, M. Dastani","doi":"10.5530/jscires.12.2.037","DOIUrl":"https://doi.org/10.5530/jscires.12.2.037","url":null,"abstract":"Drug-resistant tuberculosis is a form of tuberculosis that is resistant to at least one of the standard first-line anti-tuberculosis drugs. DR-TB can occur when patients do not complete their full course of TB medication, leading to the development of drug resistance. Improved diagnostics and more effective treatments are urgently needed to address this global health challenge, So This study uses bibliometric and text mining techniques to conduct a topical analysis of scientific publications on drug-resistant tuberculosis. WOS Core Collection citation database was used to extract data from the beginning until April 25, 2022. Afterward, the data was analyzed using Python and Microsoft Excel. The results revealed that scientific publications on drug-resistant tuberculosis have increased in recent years, with the majority of the publications consisting of articles and reviews. The USA, India, and South Africa, on the other hand, account for the majority of the publications. Furthermore, the findings demonstrated that publications related to drug-resistant tuberculosis had the highest publication rate in the following subjects: Drug Resistance, Care, Treatment, Drug Activity, Patient, and Drug Dose Therapy Regimen. The findings of the present study showed that the interest in drug-resistant tuberculosis is increasing and controlling its prevalence is becoming one of the key health preferences in the world.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73858739","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

CRISPR-Cas9 Genome Editing: A Brief Scientometric Insight on Scientific Production and Knowledge Structure CRISPR-Cas9基因组编辑:科学生产和知识结构的科学计量学见解

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.035

Muhammad Farid Azlan Halmi, Mohd Amirul Faiz Zulkifli, Kamal Hisham Kamarul Zaman

{"title":"CRISPR-Cas9 Genome Editing: A Brief Scientometric Insight on Scientific Production and Knowledge Structure","authors":"Muhammad Farid Azlan Halmi, Mohd Amirul Faiz Zulkifli, Kamal Hisham Kamarul Zaman","doi":"10.5530/jscires.12.2.035","DOIUrl":"https://doi.org/10.5530/jscires.12.2.035","url":null,"abstract":"The Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-associated protein 9 (CRISPR-Cas9) is a promising molecular tool that has revolutionised genome editing and was recognised with the Nobel Prize in Chemistry in 2020. This study assesses the scientific productivity and knowledge structure in the scientific domain of CRISPR-Cas9 genome editing up to 2022. A total of 12,799 publications were retrieved from the Science Citation Index Expanded (SCIE) database within the Web of Science (WoS), employing related keyword searches. The records were published by authors from 107 countries in 1,731 journals. Of the total scientific publications, 499,895 total citations were found, with 39.06 average citations per publication. The United States of America dominated the research and is currently the global leader in this area with the most publications and prolific top institutions. Visualisation analysis for mapping research trends based on co-occurrences of keywords was done using VOSviewer revealing six clusters of research themes comprising; 1) conception and fundamental development; 2) gene therapy and drug delivery; 3) cancer biology; 4) plant biotechnology; 5) livestock breeding, and; 6) synthetic biology and metabolic engineering. Nanoparticle-based delivery of CRISPR-Cas9 is gaining academic attention, while CRISPR-Cas9 application in synthetic biology and metabolic engineering has progressed recently and becoming the current research interest.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85777225","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

Machine Learning-based Predictive Systems in Higher Education: A Bibliometric Analysis 高等教育中基于机器学习的预测系统:文献计量分析

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.040

Fati Tahiru, Steven. Parbanath, Samuel Agbesi

{"title":"Machine Learning-based Predictive Systems in Higher Education: A Bibliometric Analysis","authors":"Fati Tahiru, Steven. Parbanath, Samuel Agbesi","doi":"10.5530/jscires.12.2.040","DOIUrl":"https://doi.org/10.5530/jscires.12.2.040","url":null,"abstract":"This paper aims to comprehensively review the present state and research trends in predictive systems in higher education. It also addresses the research contribution of countries in Machine Learning-based predictive systems in higher education to depict the research landscape given the growing number of related publications. A bibliometric analysis of publications on predictive systems in education published in the Scopus Database from 2015 to 2022 was conducted. The dataset obtained covered the contribution of authors, affiliations, countries, themes and trends in the field of Machine Learning-based predictive systems in higher education. A total of 72 publications with 3408 cited references were collected from Scopus for the bibliometric analysis. The technique used for the bibliometric analysis included performance analysis and science mapping. Research on Machine Learning-based predictive systems has been widely published from 2020 to 2022. Researchers in China, Belgium, Spain, India, and Korea were most active in researching Machine Learning-based predictive systems in education. However, international collaborations have remained infrequent except for the few involving Australia, Belgium, and Canada. There is a lack of research in the subject area in Africa. This study illustrates the intellectual landscape of Machine Learning-based predictive systems in higher education and the field's evolution and emerging trends. The findings highlight the area of research concentration and the most recent developments and suggest future research collaborations on a larger scale as well as additional research on the implementation of","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89721993","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 Estimation of Trends in Artificial Intelligence Research: A Study of Bradford Distributions using Leimkuhler Model 人工智能研究趋势的定量估计:用Leimkuhler模型研究Bradford分布

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Journal of Scientometric Research Pub Date : 2023-08-06 DOI: 10.5530/jscires.12.2.023

Solanki Gupta, Vivek Kumar Singh

引用次数: 0