Pub Date : 2020-07-02DOI: 10.1080/09737766.2021.1920065
Yifan Wang, Ming-Huang Wang, Y. Ho
A bibliometric analysis was conducted to evaluate the global scientific output of KSHV/HHV8 research in the Science Citation Index Expanded from 1991 to 2016. The publications were analysed in terms of document type, language of publication, trends in publication, journals, Web of Science categories, and publications of countries, institutions, and authors. The results showed that Journal of Virology led 610 journals. The researchers focused on the category of virology. The USA took the lead position among 92 countries with 58% of all the KSHV/HHV8 articles. Top ten productive institutions were all from the USA. National Cancer Institute, University of California, San Francisco, and Harvard University from the USA led top three the institutions. A comprehensive analysis of keywords revealed that HIV, lymphoma, and EBV were recent foci. The proportion of number of single institution articles : number of nationally collaborative articles : number of internationally collaborative articles (S : N : I) was used to compare performance of institutions. Y-index was also applied to evaluate authors’ publication performance. Chang’s group published the first in KSHV/HHV8 research field.
{"title":"A bibliometric analysis of KSHV/HHV8 research","authors":"Yifan Wang, Ming-Huang Wang, Y. Ho","doi":"10.1080/09737766.2021.1920065","DOIUrl":"https://doi.org/10.1080/09737766.2021.1920065","url":null,"abstract":"A bibliometric analysis was conducted to evaluate the global scientific output of KSHV/HHV8 research in the Science Citation Index Expanded from 1991 to 2016. The publications were analysed in terms of document type, language of publication, trends in publication, journals, Web of Science categories, and publications of countries, institutions, and authors. The results showed that Journal of Virology led 610 journals. The researchers focused on the category of virology. The USA took the lead position among 92 countries with 58% of all the KSHV/HHV8 articles. Top ten productive institutions were all from the USA. National Cancer Institute, University of California, San Francisco, and Harvard University from the USA led top three the institutions. A comprehensive analysis of keywords revealed that HIV, lymphoma, and EBV were recent foci. The proportion of number of single institution articles : number of nationally collaborative articles : number of internationally collaborative articles (S : N : I) was used to compare performance of institutions. Y-index was also applied to evaluate authors’ publication performance. Chang’s group published the first in KSHV/HHV8 research field.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"219 - 235"},"PeriodicalIF":1.0,"publicationDate":"2020-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2021.1920065","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45425319","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 : 2020-01-02DOI: 10.1080/09737766.2020.1838767
Chen Yue, Jean-Charles Lamirel, B. Markscheffel
(2020). Report of the 15th International Conference on Webometrics, Informetrics and Scientometrics (WIS) and the 20th COLLNET Meeting. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 203-209.
(2020)。第15届网络计量学、信息计量学和科学计量学国际会议(WIS)和第20届COLLNET会议报告。科学计量学与信息管理学报，Vol. 14, No. 1, pp. 203-209。
{"title":"Report of the 15th International Conference on Webometrics, Informetrics and Scientometrics (WIS) and the 20th COLLNET Meeting","authors":"Chen Yue, Jean-Charles Lamirel, B. Markscheffel","doi":"10.1080/09737766.2020.1838767","DOIUrl":"https://doi.org/10.1080/09737766.2020.1838767","url":null,"abstract":"(2020). Report of the 15th International Conference on Webometrics, Informetrics and Scientometrics (WIS) and the 20th COLLNET Meeting. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 203-209.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"203 - 209"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1838767","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41930414","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 : 2020-01-02DOI: 10.1080/09737766.2020.1776651
William S. Pearson
Getting cited is important for scholars in the burgeoning field of written feedback on English as a second language (ESL) writing. While much depends on the quality of the paper and the reputation of the author, there are a range of subjective factors that are known to impact on citation counts generally. The present study investigated the effects of 11 journal- and paper-based variables on the age-weighted citation rates (measured using data from Google Scholar) of a comprehensive body of 376 research articles on the topic of written feedback on ESL writing (spanning 1980-2018). It was found that the following factors positively predicted the citation rates of papers; a) the journal of publication, b) its publishing company, c) the journal's impact factor, d) inclusion on the Social Sciences or Emerging Sources Citation Indices and SCOPUS, e) subscription access to the journal, f) appearance in a specialist publication, g) paper length, and h) age of the article. The presence of keywords and title lengths were found to negatively correlate. The implications of the findings are discussed, and recommendations for future authors seeking to improve article citability are provided.
{"title":"Predictors of citations in written feedback on ESL writing research","authors":"William S. Pearson","doi":"10.1080/09737766.2020.1776651","DOIUrl":"https://doi.org/10.1080/09737766.2020.1776651","url":null,"abstract":"Getting cited is important for scholars in the burgeoning field of written feedback on English as a second language (ESL) writing. While much depends on the quality of the paper and the reputation of the author, there are a range of subjective factors that are known to impact on citation counts generally. The present study investigated the effects of 11 journal- and paper-based variables on the age-weighted citation rates (measured using data from Google Scholar) of a comprehensive body of 376 research articles on the topic of written feedback on ESL writing (spanning 1980-2018). It was found that the following factors positively predicted the citation rates of papers; a) the journal of publication, b) its publishing company, c) the journal's impact factor, d) inclusion on the Social Sciences or Emerging Sources Citation Indices and SCOPUS, e) subscription access to the journal, f) appearance in a specialist publication, g) paper length, and h) age of the article. The presence of keywords and title lengths were found to negatively correlate. The implications of the findings are discussed, and recommendations for future authors seeking to improve article citability are provided.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"55 - 73"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1776651","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45492585","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 : 2020-01-02DOI: 10.1080/09737766.2020.1830730
Yue Chen, Zhiqi Wang, Kai Song
(2020). The academic life of Zeyuan Liu. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 3-7.
（2020）。刘的学术生涯。COLLNET科学计量学与信息管理杂志：第14卷，第1期，第3-7页。
{"title":"The academic life of Zeyuan Liu","authors":"Yue Chen, Zhiqi Wang, Kai Song","doi":"10.1080/09737766.2020.1830730","DOIUrl":"https://doi.org/10.1080/09737766.2020.1830730","url":null,"abstract":"(2020). The academic life of Zeyuan Liu. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 3-7.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"3 - 7"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1830730","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46113924","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 : 2020-01-02DOI: 10.1080/09737766.2020.1818646
B. Markscheffel
(2020). Information about postponement of the 16th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 21st COLLNET Meeting. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 1-2.
(2020)。关于第16届网络计量学、信息计量学和科学计量学国际会议(WIS)和第21届COLLNET会议推迟的信息。科学计量学与信息管理学报，Vol. 14, No. 1, pp. 1-2。
{"title":"Information about postponement of the 16th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 21st COLLNET Meeting","authors":"B. Markscheffel","doi":"10.1080/09737766.2020.1818646","DOIUrl":"https://doi.org/10.1080/09737766.2020.1818646","url":null,"abstract":"(2020). Information about postponement of the 16th International Conference on Webometrics, Informetrics and Scientometrics (WIS) & 21st COLLNET Meeting. COLLNET Journal of Scientometrics and Information Management: Vol. 14, No. 1, pp. 1-2.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"1 - 2"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1818646","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44073227","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 : 2020-01-02DOI: 10.1080/09737766.2020.1787110
Bao-Zhong Yuan, Jie Sun
Based on the Essential Science Indicators database, this study analyzed 1,016 top papers of maize or corn research from 2009 to 2019, which include 1,016 highly cited papers and 11 hot papers in the field. We analyze the top papers of scientific research on the maize in the Science Citation Index Expanded, focusing on productivity, subjects, institutions, citations, and trends, and mapped by VOSviewer. Results showed that all paper written in English, were from 4,619 authors, 1,327 organizations and 89 countries/territories, listed in 323 core journals. Top 5 core journals with higher impact factor ranked as Plant Physiology, PNAS, Food Chemistry, Bioresource Technology and Plant Cell. Top 5 countries and regions were USA, Peoples R China, Germany, England and Australia. Top 5 organizations were Cornell Univ, Chinese ACAD Sci, Univ Wisconsin, ARS and Univ Minnesota. Based on the analysis of network map of VOSviewer, there is cooperation for authors, organizations and countries or regions. The analysis of all keywords showed that maize and corn research were separated six clusters. In addition, this study demonstrates that there are more top papers come from journals with the higher IF and higher rank in WoS Category. Authors can choose their ideal journal with a high impact factor or Q1 in Category to publish their papers in the English language related to their research field.
本研究基于Essential Science Indicators数据库，对2009 - 2019年玉米或玉米研究领域1016篇顶级论文进行分析，其中高被引论文1016篇，热点论文11篇。我们对科学引文索引扩展(Science Citation Index Expanded)中有关玉米的顶级科研论文进行分析，重点关注生产力、学科、机构、被引情况和趋势，并通过VOSviewer进行绘制。结果显示，所有以英文撰写的论文来自4,619位作者，1,327个组织和89个国家/地区，被收录在323种核心期刊上。影响因子排名前5位的核心期刊为《植物生理学》、《PNAS》、《食品化学》、《生物资源技术》和《植物细胞》。排名前五的国家和地区分别是美国、中国、德国、英国和澳大利亚。前5名分别是康奈尔大学、中国科学院、威斯康星大学、美国科学院和明尼苏达大学。通过对VOSviewer网络地图的分析，发现存在作者、组织和国家或地区的合作。对所有关键词的分析表明，玉米与玉米研究被划分为6个聚类。此外，本研究还表明，在WoS分类中，更多的顶级论文来自于IF越高、排名越高的期刊。作者可以选择自己理想的影响因子高或类别Q1的期刊，发表与自己研究领域相关的英文论文。
{"title":"Bibliometric analysis of research on the maize based on top papers during 2009-2019","authors":"Bao-Zhong Yuan, Jie Sun","doi":"10.1080/09737766.2020.1787110","DOIUrl":"https://doi.org/10.1080/09737766.2020.1787110","url":null,"abstract":"Based on the Essential Science Indicators database, this study analyzed 1,016 top papers of maize or corn research from 2009 to 2019, which include 1,016 highly cited papers and 11 hot papers in the field. We analyze the top papers of scientific research on the maize in the Science Citation Index Expanded, focusing on productivity, subjects, institutions, citations, and trends, and mapped by VOSviewer. Results showed that all paper written in English, were from 4,619 authors, 1,327 organizations and 89 countries/territories, listed in 323 core journals. Top 5 core journals with higher impact factor ranked as Plant Physiology, PNAS, Food Chemistry, Bioresource Technology and Plant Cell. Top 5 countries and regions were USA, Peoples R China, Germany, England and Australia. Top 5 organizations were Cornell Univ, Chinese ACAD Sci, Univ Wisconsin, ARS and Univ Minnesota. Based on the analysis of network map of VOSviewer, there is cooperation for authors, organizations and countries or regions. The analysis of all keywords showed that maize and corn research were separated six clusters. In addition, this study demonstrates that there are more top papers come from journals with the higher IF and higher rank in WoS Category. Authors can choose their ideal journal with a high impact factor or Q1 in Category to publish their papers in the English language related to their research field.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"75 - 92"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1787110","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45760833","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 : 2020-01-02DOI: 10.1080/09737766.2020.1802208
Manvendra Janmaijaya, Amit K. Shukla, Pranab K. Muhuri
This paper presents a scientometric study of the research publications from the discipline of economics in India. The high-quality publications indexed in Web of Science over the last three decades are considered for the analysis. The main motive behind this study is to reveal the progress made in the discipline by the researchers affiliated with Indian institutions, their research outreach and their top research interests. The publications and citation structures are analyzed first giving the publication distribution over time followed by the general citation structure, top cited journals and the top twenty-five cited publications. Further, author and institutions are analyzed along with a detailed cocitation analysis. The results indicate that the Indian Statistical Institute (ISI) and University of Delhi have brought more significant publications with ISI being the most collaborative institution. The results also show that competition, economic growth, developing country and unemployment are the most significant research topics in the country. Though currently the contribution of India to the global economics research is very less but the trends show that it will substantially increase over the years.
{"title":"An evaluation of the economics research in India during last three decades (1989-2019)","authors":"Manvendra Janmaijaya, Amit K. Shukla, Pranab K. Muhuri","doi":"10.1080/09737766.2020.1802208","DOIUrl":"https://doi.org/10.1080/09737766.2020.1802208","url":null,"abstract":"This paper presents a scientometric study of the research publications from the discipline of economics in India. The high-quality publications indexed in Web of Science over the last three decades are considered for the analysis. The main motive behind this study is to reveal the progress made in the discipline by the researchers affiliated with Indian institutions, their research outreach and their top research interests. The publications and citation structures are analyzed first giving the publication distribution over time followed by the general citation structure, top cited journals and the top twenty-five cited publications. Further, author and institutions are analyzed along with a detailed cocitation analysis. The results indicate that the Indian Statistical Institute (ISI) and University of Delhi have brought more significant publications with ISI being the most collaborative institution. The results also show that competition, economic growth, developing country and unemployment are the most significant research topics in the country. Though currently the contribution of India to the global economics research is very less but the trends show that it will substantially increase over the years.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"93 - 118"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1802208","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42921182","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 : 2020-01-02DOI: 10.1080/09737766.2020.1816513
Y. Hsu, Ya-Ting Yang, Ming-Huang Wang, Y. Ho
The present study is to identify and analyse the characteristics of the highly cited articles in Web of Science category of health policy and services, within the publication year from 1923 to 2017 based on Social Science Citation Index. Highly cited articles that have been cited 100 times or more from Web of Science Core Collection since their publication year to the end of 2017 were analyzed. Publication year, authors, institutions, countries, journals, and citation life cycles were used to evaluate the publication performance of the highly cited articles. Four citation indicators were applied to evaluate highly cited articles. Six publication indicators were also used to compare performance of countries and institutions. A publication performance indicator, the Y-index, was applied to assess publication potential and the characteristics of authors. A relationship between number of articles in each year and their citations per publication by years was proposed for distribution of highly cited articles. Results showed that highly cited articles published in journals with not only higher journal impact factor but also lower one. The US and Harvard University ranked top in six publication indicators respectively. Y-index results showed that J.H. Hibbard had highly cited articles publication potential. In addition, each of the high impact classic articles in 2017 were summarized.
{"title":"Bibliometric analysis of highly cited publications in health policy and Services","authors":"Y. Hsu, Ya-Ting Yang, Ming-Huang Wang, Y. Ho","doi":"10.1080/09737766.2020.1816513","DOIUrl":"https://doi.org/10.1080/09737766.2020.1816513","url":null,"abstract":"The present study is to identify and analyse the characteristics of the highly cited articles in Web of Science category of health policy and services, within the publication year from 1923 to 2017 based on Social Science Citation Index. Highly cited articles that have been cited 100 times or more from Web of Science Core Collection since their publication year to the end of 2017 were analyzed. Publication year, authors, institutions, countries, journals, and citation life cycles were used to evaluate the publication performance of the highly cited articles. Four citation indicators were applied to evaluate highly cited articles. Six publication indicators were also used to compare performance of countries and institutions. A publication performance indicator, the Y-index, was applied to assess publication potential and the characteristics of authors. A relationship between number of articles in each year and their citations per publication by years was proposed for distribution of highly cited articles. Results showed that highly cited articles published in journals with not only higher journal impact factor but also lower one. The US and Harvard University ranked top in six publication indicators respectively. Y-index results showed that J.H. Hibbard had highly cited articles publication potential. In addition, each of the high impact classic articles in 2017 were summarized.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"177 - 202"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1816513","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45196322","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 : 2020-01-02DOI: 10.1080/09737766.2020.1819173
Khadeeja M. N. Ansari, Safiqur Rahaman, Hashem Hussein Al-Attas
This study aimed to gauge the quality of behavioral science journals on account of selected bibliometric indicators, namely Journal Impact Factor, Eigenfactor Score, CiteScore, SCImago Journal Rank; Source normalised impact per paper and H5-index. Also, to ascertain whether these indicators use as an alternative to each other for the assessment of the journals. 53 Journals from the behavioral science discipline have retrieved from Journals citation Report (JCR) of the Web of science. The JIF and ES metrics extracted from JCR, the metrics of CS, SJR and SNIP derived from Scopus and the metrics of H-Index managed from Google Scholar. The analysis has done by using IBM SPSS (21.0). Bivariate correlation coefficient has considered, a high Pearson's (r) found between JIF and SNIP (r = 0.928), while the lowest correlation recorded between JIF and H5 Value (r = 0.411). Spearman's (ρ) statistical correlation between JIF with CS shows maximum correlation, i.e. (ρ = 0.822), the minimum correlation recorded between JIF and H5-index ranks, i.e. (ρ= 0.664). The top five journals repeated in each indicator are "Trends in Cognitive Sciences", "Neuroscience and Biobehavioral Reviews", "Behavioral and Brain Sciences", "Cortex" and "Appetite". The linear correlation observed in term of values and ranks of metrics of the indicators with the help of scatter plot hence concluded that the selected indicators could use as an alternative to each other.
{"title":"Gauging the quality of behavioral science journals by using bibliometric indicators","authors":"Khadeeja M. N. Ansari, Safiqur Rahaman, Hashem Hussein Al-Attas","doi":"10.1080/09737766.2020.1819173","DOIUrl":"https://doi.org/10.1080/09737766.2020.1819173","url":null,"abstract":"This study aimed to gauge the quality of behavioral science journals on account of selected bibliometric indicators, namely Journal Impact Factor, Eigenfactor Score, CiteScore, SCImago Journal Rank; Source normalised impact per paper and H5-index. Also, to ascertain whether these indicators use as an alternative to each other for the assessment of the journals. 53 Journals from the behavioral science discipline have retrieved from Journals citation Report (JCR) of the Web of science. The JIF and ES metrics extracted from JCR, the metrics of CS, SJR and SNIP derived from Scopus and the metrics of H-Index managed from Google Scholar. The analysis has done by using IBM SPSS (21.0). Bivariate correlation coefficient has considered, a high Pearson's (r) found between JIF and SNIP (r = 0.928), while the lowest correlation recorded between JIF and H5 Value (r = 0.411). Spearman's (ρ) statistical correlation between JIF with CS shows maximum correlation, i.e. (ρ = 0.822), the minimum correlation recorded between JIF and H5-index ranks, i.e. (ρ= 0.664). The top five journals repeated in each indicator are \"Trends in Cognitive Sciences\", \"Neuroscience and Biobehavioral Reviews\", \"Behavioral and Brain Sciences\", \"Cortex\" and \"Appetite\". The linear correlation observed in term of values and ranks of metrics of the indicators with the help of scatter plot hence concluded that the selected indicators could use as an alternative to each other.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"135 - 152"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1819173","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42386115","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 : 2020-01-02DOI: 10.1080/09737766.2020.1816512
Bakthavachalam Elango
In this short communication, a new indicator - The Relative Rank Index - the RRI - is introduced for comparing the rankings in specific subject discipline of different countries with their rankings overall. To show how this works in practice, publication data from various disciplines for the top ten countries in the world have been collected from the SCOPUS database and their relative rankings are presented in this study. Similarly, one might use the RRI with data from institutions to show their relative rankings.
{"title":"A new indicator for comparing the rankings : The Relative Rank Index (RRI)","authors":"Bakthavachalam Elango","doi":"10.1080/09737766.2020.1816512","DOIUrl":"https://doi.org/10.1080/09737766.2020.1816512","url":null,"abstract":"In this short communication, a new indicator - The Relative Rank Index - the RRI - is introduced for comparing the rankings in specific subject discipline of different countries with their rankings overall. To show how this works in practice, publication data from various disciplines for the top ten countries in the world have been collected from the SCOPUS database and their relative rankings are presented in this study. Similarly, one might use the RRI with data from institutions to show their relative rankings.","PeriodicalId":10501,"journal":{"name":"COLLNET Journal of Scientometrics and Information Management","volume":"14 1","pages":"153 - 161"},"PeriodicalIF":1.0,"publicationDate":"2020-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1080/09737766.2020.1816512","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49560607","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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