Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1938743
Sanjib Ghosh, B. Roy
Websites of an institution play an important role and act as a gateway of disseminating information. This study examines and analyzes the websites of 88 open accesses repositories (OARs) of agricultural sciences in Asia based on different criteria such as the number of web pages, link pages, web impact factor, and WISER indicator through Google search engine. It was found that the website of Science and Technology Development Center of the Ministry of Education of the People’s Republic of China occupied the first position with 723.98% SWIF presence amongst 88 digital agricultural repositories in Asia. But it again ranked 86th position with 221000 Web pages and 4090 in-link WebPages, and 0.018507 RWIF. The study aims at webometric evaluation of open-access digital repositories of agricultural science in Asia. Here, the impact and presence of websites of open-access digital repositories of agricultural sciences have been discussed and some suggestions have also been made to increase the presence of websites.
{"title":"Webometric analysis of open access digital repository of agricultural sciences in Asia","authors":"Sanjib Ghosh, B. Roy","doi":"10.1080/09737766.2021.1938743","DOIUrl":"https://doi.org/10.1080/09737766.2021.1938743","url":null,"abstract":"Websites of an institution play an important role and act as a gateway of disseminating information. This study examines and analyzes the websites of 88 open accesses repositories (OARs) of agricultural sciences in Asia based on different criteria such as the number of web pages, link pages, web impact factor, and WISER indicator through Google search engine. It was found that the website of Science and Technology Development Center of the Ministry of Education of the People’s Republic of China occupied the first position with 723.98% SWIF presence amongst 88 digital agricultural repositories in Asia. But it again ranked 86th position with 221000 Web pages and 4090 in-link WebPages, and 0.018507 RWIF. The study aims at webometric evaluation of open-access digital repositories of agricultural science in Asia. Here, the impact and presence of websites of open-access digital repositories of agricultural sciences have been discussed and some suggestions have also been made to increase the presence of websites.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"107 - 132"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1938743","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43592976","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1934603
M. Hassan, M. M. Alshater, Jinnatul Raihan Mumu, A. Sarea, M. Azad
Purpose – This paper aims to provide a full bibliographical overview of Islamic Accounting and Business Research Journal in the celebration of its 10th year since establishment. Design/Methodology/Approach – We used bibliometric approach, collecting 287 published articles and reviews in JIABR from Scopus database starting from April 2010 till June 2020. Using RStudio, VOS-viewer and Excel we generated top scientific actors for this journal, citation analysis, content analysis and concluding remarks for the journal development. Findings – The bibliometric results reveal in terms of science mapping that the publications of JIABR over the last 10 years can be summarized to be focused in five research streams (1) Socio-economic understanding for different Islamic financial instruments, (2) Contemporary Islamic accounting, (3) Shariah-compliant equity market, (4) Corporate social responsibility and ethical disclosure, and (5) corporate governance in Islamic financial institutions. Practical Implications – The paper will identify the leading trends in the journal in terms of papers, authors, institutions, countries, journals, topics and keywords. This study will enable readers achieve full understanding of the journal. Originality/Value – The study provides objective evaluation of the journal’s progress through a decade of its operation; it highlights the achievement and discusses the progress and contribution of the journal to the scientific research.
{"title":"Bibliometric analysis of the Journal of Islamic Accounting and Business Research : Ten years review","authors":"M. Hassan, M. M. Alshater, Jinnatul Raihan Mumu, A. Sarea, M. Azad","doi":"10.1080/09737766.2021.1934603","DOIUrl":"https://doi.org/10.1080/09737766.2021.1934603","url":null,"abstract":"Purpose – This paper aims to provide a full bibliographical overview of Islamic Accounting and Business Research Journal in the celebration of its 10th year since establishment. Design/Methodology/Approach – We used bibliometric approach, collecting 287 published articles and reviews in JIABR from Scopus database starting from April 2010 till June 2020. Using RStudio, VOS-viewer and Excel we generated top scientific actors for this journal, citation analysis, content analysis and concluding remarks for the journal development. Findings – The bibliometric results reveal in terms of science mapping that the publications of JIABR over the last 10 years can be summarized to be focused in five research streams (1) Socio-economic understanding for different Islamic financial instruments, (2) Contemporary Islamic accounting, (3) Shariah-compliant equity market, (4) Corporate social responsibility and ethical disclosure, and (5) corporate governance in Islamic financial institutions. Practical Implications – The paper will identify the leading trends in the journal in terms of papers, authors, institutions, countries, journals, topics and keywords. This study will enable readers achieve full understanding of the journal. Originality/Value – The study provides objective evaluation of the journal’s progress through a decade of its operation; it highlights the achievement and discusses the progress and contribution of the journal to the scientific research.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"63 - 88"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1934603","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44452770","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1920067
K. C. Garg, Bebi
This study presents a bibliometric analysis of 267 papers published in 13 volumes (2007-2019) in COLLNET Journal of Scientometrics and Information Management (CJSIM). The analysis examines the chronological distribution of output and the geographical distribution of contributions, identified prolific institutions and prolific authors and examined their impact in terms of Citation per Paper (CPP) and Papers not Cited (PnC). Besides these, the study also examined the pattern of citations, identified highly cited papers, pattern of domestic and international collaboration. Findings of the study indicate that the growth of articles is inconsistent with highest number of papers published in the year 2014 and lowest in the year 2007. The output was scattered among 41 countries, of which 12 prolific countries contributed 80.8 % of the total output. Among the prolific 12 countries India ranked first with 31.8% of papers. Among the institutions, Dalian University of Technology (China) topped the list. Pattern of domestic and international collaboration indicates that 79 papers were published in domestic collaboration and 48 papers in international collaboration. Among all countries, India had the highest share of domestically collaborative papers and China had the highest number of internationally collaborative papers.
本研究对COLLNET Journal of Scientometrics and Information Management (CJSIM)上发表的13卷(2007-2019)267篇论文进行了文献计量分析。该分析考察了产出的时间分布和贡献的地理分布，确定了高产机构和高产作者，并根据每篇论文的引用数(CPP)和未被引论文数(PnC)检查了它们的影响。除此之外，本研究还考察了论文被引模式、高被引论文、国内外合作模式。研究结果表明，论文数量的增长与2014年发表论文数量最多，2007年发表论文数量最少的现象不一致。产量分布在41个国家，其中12个高产国家占总产量的80.8%。在12个多产的国家中，印度以31.8%的论文排名第一。在这些院校中，大连理工大学(中国)位居榜首。国内外合作格局显示，国内合作发表论文79篇，国际合作发表论文48篇。在所有国家中，印度的国内合作论文份额最高，中国的国际合作论文数量最多。
{"title":"COLLNET Journal of Scientometrics and information Management : A bibliometric study","authors":"K. C. Garg, Bebi","doi":"10.1080/09737766.2021.1920067","DOIUrl":"https://doi.org/10.1080/09737766.2021.1920067","url":null,"abstract":"This study presents a bibliometric analysis of 267 papers published in 13 volumes (2007-2019) in COLLNET Journal of Scientometrics and Information Management (CJSIM). The analysis examines the chronological distribution of output and the geographical distribution of contributions, identified prolific institutions and prolific authors and examined their impact in terms of Citation per Paper (CPP) and Papers not Cited (PnC). Besides these, the study also examined the pattern of citations, identified highly cited papers, pattern of domestic and international collaboration. Findings of the study indicate that the growth of articles is inconsistent with highest number of papers published in the year 2014 and lowest in the year 2007. The output was scattered among 41 countries, of which 12 prolific countries contributed 80.8 % of the total output. Among the prolific 12 countries India ranked first with 31.8% of papers. Among the institutions, Dalian University of Technology (China) topped the list. Pattern of domestic and international collaboration indicates that 79 papers were published in domestic collaboration and 48 papers in international collaboration. Among all countries, India had the highest share of domestically collaborative papers and China had the highest number of internationally collaborative papers.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"47 - 61"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1920067","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48564624","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2020.1853489
M. Negahban
The main objectives at this research to network analysis and present the scientific map of the field of e-learning in Iran. The importance of this research is to identify emerging and prominent subject areas; and to identify and analyze the co-occurrence network of the e-learning in Iran based on the closeness and betweenness centrality measures. It is a scientometric research, using quantitative method and citation analysis. In order to draw a scientific map of e-learning research literature, the data were extracted from the Web of Science database within a specified time period. The retrieved records were formatted using WC10.exe conversion software, and were then mapped using VOSviewer software. The findings revealed a growing trend in the number of articles published in the field of e-learning, and this number increases on an annual basis. The most widely used subject areas in the field of e-learning were identified. High frequency keywords such as e-learning, education, technology, system and satisfaction are the newly emerging and active concepts in this field. Regarding the widely used subject areas in the field of e-learning, it was noted that the two areas of e-learning and education are ranked first and second as the most frequently used terms. The keywords “technology, system and satisfaction” are the other high frequency terms representing the newly emerging concepts in this field. The field of e-learning was mapped based on the closeness centrality measure and its findings revealed that topics such as learning, technology & system learning have the greatest impact on the map. In contrast, information technology, education technology and learning with the lowest centrality and the least impact.
{"title":"Network analysis and scientific mapping of the field of e-learning in Iran","authors":"M. Negahban","doi":"10.1080/09737766.2020.1853489","DOIUrl":"https://doi.org/10.1080/09737766.2020.1853489","url":null,"abstract":"The main objectives at this research to network analysis and present the scientific map of the field of e-learning in Iran. The importance of this research is to identify emerging and prominent subject areas; and to identify and analyze the co-occurrence network of the e-learning in Iran based on the closeness and betweenness centrality measures. It is a scientometric research, using quantitative method and citation analysis. In order to draw a scientific map of e-learning research literature, the data were extracted from the Web of Science database within a specified time period. The retrieved records were formatted using WC10.exe conversion software, and were then mapped using VOSviewer software. The findings revealed a growing trend in the number of articles published in the field of e-learning, and this number increases on an annual basis. The most widely used subject areas in the field of e-learning were identified. High frequency keywords such as e-learning, education, technology, system and satisfaction are the newly emerging and active concepts in this field. Regarding the widely used subject areas in the field of e-learning, it was noted that the two areas of e-learning and education are ranked first and second as the most frequently used terms. The keywords “technology, system and satisfaction” are the other high frequency terms representing the newly emerging concepts in this field. The field of e-learning was mapped based on the closeness centrality measure and its findings revealed that topics such as learning, technology & system learning have the greatest impact on the map. In contrast, information technology, education technology and learning with the lowest centrality and the least impact.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"1 - 8"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1853489","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46216263","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1934605
A. Jallow, Shin-Da Lee, Y. Ho
Background: Classic articles are defined as research papers with a total citation of one thousand or more. The present study is to identify and analyse the characteristics of the classic articles in apoptosis research. Method: Classic articles with total of 1,000 or more citations from Web of Science Core Collection since year of publication to the end of 2017 were basically assessed regarding their document types, languages, journals, and Web of Science categories within 1900 to 2017. Result: The study showed 418 classic documents in apoptotic research including 260 articles published between 1972 and 2012. The most productive Web of Science category was multidisciplinary sciences. Nature published most of these classic articles followed by Cell, and Science. The most productive country and institution were United States and Harvard University respectively. The author S.J. Korsmeyer from Harvard University was the most productive in apoptosis field and published 13 classic apoptosis articles while the author J.C Reed had more potential to publish classic apoptosis articles in future. The author J.C. Reed and V.A. Fadok had equal potential to publish the same number of classic articles as first and corresponding author. Article of Kerr et al. in 1972 was the most popular and cited apoptosis article. The most impact article in 2017 was article entitled “Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion” by Dong et al. in 2002. Conclusion: This study identified the most industrious authors, institutions, and countries in the field of apoptosis research. It also revealed the historical and discoveries related to the pathophysiology of apoptosis as well as the most impact publications on apoptotic studies.
{"title":"Classic articles in apoptotic research : A bibliometric analysis","authors":"A. Jallow, Shin-Da Lee, Y. Ho","doi":"10.1080/09737766.2021.1934605","DOIUrl":"https://doi.org/10.1080/09737766.2021.1934605","url":null,"abstract":"Background: Classic articles are defined as research papers with a total citation of one thousand or more. The present study is to identify and analyse the characteristics of the classic articles in apoptosis research. Method: Classic articles with total of 1,000 or more citations from Web of Science Core Collection since year of publication to the end of 2017 were basically assessed regarding their document types, languages, journals, and Web of Science categories within 1900 to 2017. Result: The study showed 418 classic documents in apoptotic research including 260 articles published between 1972 and 2012. The most productive Web of Science category was multidisciplinary sciences. Nature published most of these classic articles followed by Cell, and Science. The most productive country and institution were United States and Harvard University respectively. The author S.J. Korsmeyer from Harvard University was the most productive in apoptosis field and published 13 classic apoptosis articles while the author J.C Reed had more potential to publish classic apoptosis articles in future. The author J.C. Reed and V.A. Fadok had equal potential to publish the same number of classic articles as first and corresponding author. Article of Kerr et al. in 1972 was the most popular and cited apoptosis article. The most impact article in 2017 was article entitled “Tumor-associated B7-H1 promotes T-cell apoptosis: A potential mechanism of immune evasion” by Dong et al. in 2002. Conclusion: This study identified the most industrious authors, institutions, and countries in the field of apoptosis research. It also revealed the historical and discoveries related to the pathophysiology of apoptosis as well as the most impact publications on apoptotic studies.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"145 - 162"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1934605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45026209","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1938742
Fayaz Ahmad Loan, Bisma Bashir, Nahida Nasreen
Purpose: The study aims to conduct a bibliometric analysis of an international journal “Applied Artificial Intelligence (AAI)” to analyze publication trends, authorship patterns, collaborative networks, citation behaviors, and research hotspots of authors, organizations, and countries. Research Design/Methodology: “Applied Artificial Intelligence” is a peer-reviewed international journal, published by Taylor & Francis. The journal has published more than 1100 articles in 34 volumes so far. The idea was conceived to conduct the bibliometric study of the AAI journal. The data were collected from the Web of Science (WOS) database, owned by the Clarivate Analytics. A total of 1109 articles were retrieved and their metadata was collected for further analysis and interpretation. Additionally, the VOS viewer software was used for mapping and visualization of the bibliographic information. Findings: The journal has experienced positive growth in research productivity and negative growth in citations. Authors of 74 prominent countries have contributed to the journal and the USA has occupied the first position in publication count followed by Italy, India and England respectively. All the countries work in close collaboration and created a collaborative network and sub-networks. The USA is the pivot of the collaborative network, mostly collaborating with England, Japan, Italy, China and Germany. The keywords like the classification, optimization, algorithms and neural networks are the most common and hence the hot topics of research in the journal. Originality/Value: The main advantage of this study is that it provides profound knowledge of the content structure and developmental process of the journal to date. It is also valuable for researchers in the field of artificial intelligence to identify the research hotspots in this field.
目的：本研究旨在对国际期刊《应用人工智能》进行文献计量分析，以分析作者、组织和国家的出版趋势、作者模式、合作网络、引用行为以及研究热点。研究设计/方法论：《应用人工智能》是一本经过同行评审的国际期刊，由Taylor&Francis出版。到目前为止，该杂志已经发表了34卷1100多篇文章。这个想法是为了进行AAI期刊的文献计量学研究。这些数据来自Clarivate Analytics旗下的Web of Science（WOS）数据库。共检索到1109篇文章，并收集了它们的元数据以供进一步分析和解释。此外，VOS查看器软件被用于书目信息的映射和可视化。研究结果：该杂志的研究成果呈正增长，引文呈负增长。74个著名国家的作者为该杂志撰稿，美国在出版物数量上排名第一，其次分别是意大利、印度和英国。所有国家密切合作，建立了一个协作网络和子网络。美国是合作网络的枢纽，主要与英国、日本、意大利、中国和德国合作。分类、优化、算法和神经网络等关键词是最常见的，因此也是期刊研究的热点。原创性/价值：本研究的主要优势在于，它对迄今为止期刊的内容结构和发展过程提供了深刻的了解。识别该领域的研究热点对人工智能领域的研究人员也很有价值。
{"title":"Applied artificial intelligence : A bibliometric study of an International Journal","authors":"Fayaz Ahmad Loan, Bisma Bashir, Nahida Nasreen","doi":"10.1080/09737766.2021.1938742","DOIUrl":"https://doi.org/10.1080/09737766.2021.1938742","url":null,"abstract":"Purpose: The study aims to conduct a bibliometric analysis of an international journal “Applied Artificial Intelligence (AAI)” to analyze publication trends, authorship patterns, collaborative networks, citation behaviors, and research hotspots of authors, organizations, and countries. Research Design/Methodology: “Applied Artificial Intelligence” is a peer-reviewed international journal, published by Taylor & Francis. The journal has published more than 1100 articles in 34 volumes so far. The idea was conceived to conduct the bibliometric study of the AAI journal. The data were collected from the Web of Science (WOS) database, owned by the Clarivate Analytics. A total of 1109 articles were retrieved and their metadata was collected for further analysis and interpretation. Additionally, the VOS viewer software was used for mapping and visualization of the bibliographic information. Findings: The journal has experienced positive growth in research productivity and negative growth in citations. Authors of 74 prominent countries have contributed to the journal and the USA has occupied the first position in publication count followed by Italy, India and England respectively. All the countries work in close collaboration and created a collaborative network and sub-networks. The USA is the pivot of the collaborative network, mostly collaborating with England, Japan, Italy, China and Germany. The keywords like the classification, optimization, algorithms and neural networks are the most common and hence the hot topics of research in the journal. Originality/Value: The main advantage of this study is that it provides profound knowledge of the content structure and developmental process of the journal to date. It is also valuable for researchers in the field of artificial intelligence to identify the research hotspots in this field.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"27 - 45"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1938742","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44515750","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1943041
Dhrubajyoti Borgohain, M. Verma, Mohammad Nazim, Mayukh Sarkar
This paper discusses the theoretical aspects of Bradford’s law, its implications in different subject areas, various implementation forms, and its relevance in the published Information Science literature. The study attempts to apply Bradford’s law and Leimkuhler model on Information Science literature to a total of 213 source items listed in the Scopus database during the study period of 2001 to 2020. A ranking table of journals and articles has been prepared to contain the cumulative count. In the first phase, the verbal formulation or the laws’ algebraic form is employed in the journal distribution pattern that depicts a very high percentage of error in the actual observation that does not comply with Bradford’s distribution. The Leimkuhler model’s application follows this after finding the Bradford multiplier (k) value, thereby estimating the number of journals in the core and the successive two zones (r 0, r 1, r 2). A minor percentage error of 0.0092357% has been observed, followed bythe graphical depiction of the data, i.e., “Bradford’s Bibliograph.” “Scientometrics” (39), “Bulletin of the Medical Library Association” (33), “Canadian Journal of Information and Library Science”(26 ) were found as the most preferred journals with the highest frequency.
{"title":"Application of Bradford’s law of scattering and Leimkuhler model to information science literature","authors":"Dhrubajyoti Borgohain, M. Verma, Mohammad Nazim, Mayukh Sarkar","doi":"10.1080/09737766.2021.1943041","DOIUrl":"https://doi.org/10.1080/09737766.2021.1943041","url":null,"abstract":"This paper discusses the theoretical aspects of Bradford’s law, its implications in different subject areas, various implementation forms, and its relevance in the published Information Science literature. The study attempts to apply Bradford’s law and Leimkuhler model on Information Science literature to a total of 213 source items listed in the Scopus database during the study period of 2001 to 2020. A ranking table of journals and articles has been prepared to contain the cumulative count. In the first phase, the verbal formulation or the laws’ algebraic form is employed in the journal distribution pattern that depicts a very high percentage of error in the actual observation that does not comply with Bradford’s distribution. The Leimkuhler model’s application follows this after finding the Bradford multiplier (k) value, thereby estimating the number of journals in the core and the successive two zones (r 0, r 1, r 2). A minor percentage error of 0.0092357% has been observed, followed bythe graphical depiction of the data, i.e., “Bradford’s Bibliograph.” “Scientometrics” (39), “Bulletin of the Medical Library Association” (33), “Canadian Journal of Information and Library Science”(26 ) were found as the most preferred journals with the highest frequency.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"197 - 212"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1943041","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44188608","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1943042
R. Rousseau
In this article, we try to find out what Vasiliy Nalimov and Zinaida Mul’chenko exactly wrote in their famous book Naukometriya, the Study of the Development of Science as an Information Process (1969). Afterward, the term Naukometriya became known in the West as Scientometrics. It is often mentioned that Nalimov invented the term scientometrics, usually with reference to his book published in 1969. Shouldn’t Mul’chenko be mentioned as one of the inventors of this term? We show that referring to Naukometriya is a case of wrong reference, as Nalimov introduced the term already in 1966. We further place the term scientometrics in the context of the science of science and of Soviet science during that period.
{"title":"Naukometriya, Nalimov and Mul’chenko","authors":"R. Rousseau","doi":"10.1080/09737766.2021.1943042","DOIUrl":"https://doi.org/10.1080/09737766.2021.1943042","url":null,"abstract":"In this article, we try to find out what Vasiliy Nalimov and Zinaida Mul’chenko exactly wrote in their famous book Naukometriya, the Study of the Development of Science as an Information Process (1969). Afterward, the term Naukometriya became known in the West as Scientometrics. It is often mentioned that Nalimov invented the term scientometrics, usually with reference to his book published in 1969. Shouldn’t Mul’chenko be mentioned as one of the inventors of this term? We show that referring to Naukometriya is a case of wrong reference, as Nalimov introduced the term already in 1966. We further place the term scientometrics in the context of the science of science and of Soviet science during that period.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"15 1","pages":"213 - 224"},"PeriodicalIF":1.0,"publicationDate":"2021-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1943042","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47588052","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}
Pub Date : 2021-01-02DOI: 10.1080/09737766.2021.1949949
Luiza Amara Maciel Braga, Fabio Batista Mota
In the future, early diagnosis of cancers may be performed using labon-a-chip devices. Yet, very little is known about the research obtained so far, who are the leading institutions, and how they collaborate. We address this gap by mapping the global research on early cancer diagnosis and labs-on-a-chip. Bibliometrics and network analysis were applied to analyze data of 301 articles collected in the Web of Science Core Collection, published between 2010 and 2020. The two most frequent tumor markers are the prostate-specific antigen and the carcinoembryonic antigen; the USA and China are the most relevant countries, and the Chinese Academy of Sciences and the Massachusetts Institute of Technology are the most publishing institutions; they also established the greatest research collaborations. This study identifies research trends on lab-on-a-chip for tumor marker identification, and the most publishing countries and institutions, which can be helpful to stakeholders working on this research topic.
在未来，癌症的早期诊断可能会使用labon-a-chip设备进行。然而，迄今为止所获得的研究，谁是领先的机构，以及他们如何合作，知之甚少。我们通过绘制早期癌症诊断和芯片实验室的全球研究来解决这一差距。本文采用文献计量学和网络分析法对2010年至2020年间发表的301篇Web of Science核心文集进行了数据分析。两种最常见的肿瘤标志物是前列腺特异性抗原和癌胚抗原;美国和中国是最相关的国家，中国科学院和麻省理工学院是最多的出版机构;他们还建立了最伟大的研究合作。本研究确定了芯片实验室肿瘤标志物识别的研究趋势，以及发表最多的国家和机构，可以为从事该研究课题的利益相关者提供帮助。
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Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1906184
A. Jallow, Ming-Huang Wang, Y. Ho
This study aimed to evaluate the tendency of insomnia articles in SCI-EXPANDED database. Data was obtained from the online version of Science Citation Index Expanded (SCI-EXPANDED) database in the Web of Science Core Collection of Clarivate Analytics within the publication year from 1991 to 2018. The publications were assessed regarding their document types, languages, and journals. We used three citation indicators such as C 2018, TC 2018, and CPP 2018 to determine the citation received by publications. We used the Y-index method formulated by Ho. The study found 16,478 insomnia documents within 15 document types indexed in the Web of Science, and articles type was used most constituting 66% (10,801) of the documents. Ninety-five percent of the articles were published in English. The journal of Sleep published most of the insomnia article then followed by Sleep Medicine. The 30% of 10,801 articles were published in the top category of clinical neurology. The G7 countries published most of the insomnia articles. The most productive country and institution was United States and Harvard University respectively. The article entitled “A new method for measuring daytime sleepiness: The Epworth sleepiness scale” published by Johns in 1991was the most cited article with TC 2018 of 7,191 and C 2018 of 661 citations. The most industrious and had more potential to published insomnia articles was M.M. Ohayon. Moreover, the study showed that most of the insomnia articles were related to depression, anxiety, cancer, and schizophrenia. Insomnia is a serious problem with synergistic effects for normal body health. Bibliometric method can help researchers to have comprehensive knowledge on insomnia and initiate an orientation for further research so as to solve a problem. Furthermore, it may also help researchers to determine the impact of insomnia publications as well as to identify relevant research groups in the field of insomnia.
{"title":"Global research trends and publications of insomnia: A bibliometric analysis","authors":"A. Jallow, Ming-Huang Wang, Y. Ho","doi":"10.1080/09737766.2021.1906184","DOIUrl":"https://doi.org/10.1080/09737766.2021.1906184","url":null,"abstract":"This study aimed to evaluate the tendency of insomnia articles in SCI-EXPANDED database. Data was obtained from the online version of Science Citation Index Expanded (SCI-EXPANDED) database in the Web of Science Core Collection of Clarivate Analytics within the publication year from 1991 to 2018. The publications were assessed regarding their document types, languages, and journals. We used three citation indicators such as C 2018, TC 2018, and CPP 2018 to determine the citation received by publications. We used the Y-index method formulated by Ho. The study found 16,478 insomnia documents within 15 document types indexed in the Web of Science, and articles type was used most constituting 66% (10,801) of the documents. Ninety-five percent of the articles were published in English. The journal of Sleep published most of the insomnia article then followed by Sleep Medicine. The 30% of 10,801 articles were published in the top category of clinical neurology. The G7 countries published most of the insomnia articles. The most productive country and institution was United States and Harvard University respectively. The article entitled “A new method for measuring daytime sleepiness: The Epworth sleepiness scale” published by Johns in 1991was the most cited article with TC 2018 of 7,191 and C 2018 of 661 citations. The most industrious and had more potential to published insomnia articles was M.M. Ohayon. Moreover, the study showed that most of the insomnia articles were related to depression, anxiety, cancer, and schizophrenia. Insomnia is a serious problem with synergistic effects for normal body health. Bibliometric method can help researchers to have comprehensive knowledge on insomnia and initiate an orientation for further research so as to solve a problem. Furthermore, it may also help researchers to determine the impact of insomnia publications as well as to identify relevant research groups in the field of insomnia.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"349 - 367"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1906184","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46179826","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}
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