Pub Date : 2023-04-17DOI: 10.5530/jscires.12.1.018
Jung-Chol Jo, Jin-Bom Jong, V. Drakopoulos, SONG-IL Ri
{"title":"A Methodology for Strategic Selection of Priority Research Topics in Terms of Bibliometric Analysis","authors":"Jung-Chol Jo, Jin-Bom Jong, V. Drakopoulos, SONG-IL Ri","doi":"10.5530/jscires.12.1.018","DOIUrl":"https://doi.org/10.5530/jscires.12.1.018","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79388826","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 : 2023-04-17DOI: 10.5530/jscires.12.1.008
Galal M. Bin Makhashen, Hamdi A. Al-Jamimi
Highly cited articles capture the attention of significant contributors in the research community as an opportunity to improve knowledge, source of ideas or solutions, and advance their research in general. Typically, these articles are authored by a large number of scientists with international collaboration. However, this could not be the only reason for an article to be highly cited, there might be several other characteristics for an article to be more attractive to researchers and readers. In other words, there are a few other characteristics that help articles/papers to be more than others to appear in search engines or to grab readers’ attention. In this study, we modeled several machine-learning methods with a set of articles, and journal characteristics including authors-count, title characteristics, abstract length, international collaboration, number of keywords, funding information, journal characteristics, etc. We extracted 20 characteristics and developed multiple machine-learning models to automate highly-cited papers recognition from regular papers. In experiments conducted with an ensemble machine learning algorithm, 97% recognition accuracy was achieved. Other algorithms including a deep learning method using LSTMs also achieved high recognition accuracy. Such high performances can be utilized for a promising HCP auto-detection system in the future.
{"title":"An Intelligent Prediction of the Next Highly Cited Paper Using Machine Learning","authors":"Galal M. Bin Makhashen, Hamdi A. Al-Jamimi","doi":"10.5530/jscires.12.1.008","DOIUrl":"https://doi.org/10.5530/jscires.12.1.008","url":null,"abstract":"Highly cited articles capture the attention of significant contributors in the research community as an opportunity to improve knowledge, source of ideas or solutions, and advance their research in general. Typically, these articles are authored by a large number of scientists with international collaboration. However, this could not be the only reason for an article to be highly cited, there might be several other characteristics for an article to be more attractive to researchers and readers. In other words, there are a few other characteristics that help articles/papers to be more than others to appear in search engines or to grab readers’ attention. In this study, we modeled several machine-learning methods with a set of articles, and journal characteristics including authors-count, title characteristics, abstract length, international collaboration, number of keywords, funding information, journal characteristics, etc. We extracted 20 characteristics and developed multiple machine-learning models to automate highly-cited papers recognition from regular papers. In experiments conducted with an ensemble machine learning algorithm, 97% recognition accuracy was achieved. Other algorithms including a deep learning method using LSTMs also achieved high recognition accuracy. Such high performances can be utilized for a promising HCP auto-detection system in the future.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75269810","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}
The goal of this research is to examine the research approaches and trends in Korean popular music (K-pop). This bibliometric study is based on data from the Scopus database over the last ten years (2011–2021). This study examined 327 publications to determine the most prolific nations, authors, organizations, and referenced publications. The most active research publications were discovered to be in South Korea, the United States, and Australia. The most prolific institution has been recognized as Seoul National University (South Korea). The most influential author was determined to be Jin D.Y. Keyword co-occurrence analysis, author and country co-authorship analysis, and bibliographic coupling of documents utilizing the most widely used open-source information visualization technologies. The most productive magazines for K-pop are Kritika Kultura and the International Journal of Communication. This article summarizes the evolution of K-pop research and provides stakeholders with a concise overview of relevant studies and applications of K-pop. To our knowledge, this is the first study of its sort to do a Scopus-based mapping of the ‘K-pop and research’ literature. This will help develop the central theme and establish the scholars’ future research directions.
{"title":"Global Research Trend of Korean Popular Music: A Bibliometric Analysis","authors":"Wirapong Chansanam, Kornwipa Poonpon, Yuttana Jaroenruen, Nattapong Kaewboonma","doi":"10.5530/jscires.11.3.45","DOIUrl":"https://doi.org/10.5530/jscires.11.3.45","url":null,"abstract":"The goal of this research is to examine the research approaches and trends in Korean popular music (K-pop). This bibliometric study is based on data from the Scopus database over the last ten years (2011–2021). This study examined 327 publications to determine the most prolific nations, authors, organizations, and referenced publications. The most active research publications were discovered to be in South Korea, the United States, and Australia. The most prolific institution has been recognized as Seoul National University (South Korea). The most influential author was determined to be Jin D.Y. Keyword co-occurrence analysis, author and country co-authorship analysis, and bibliographic coupling of documents utilizing the most widely used open-source information visualization technologies. The most productive magazines for K-pop are Kritika Kultura and the International Journal of Communication. This article summarizes the evolution of K-pop research and provides stakeholders with a concise overview of relevant studies and applications of K-pop. To our knowledge, this is the first study of its sort to do a Scopus-based mapping of the ‘K-pop and research’ literature. This will help develop the central theme and establish the scholars’ future research directions.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75621851","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}
F. Nisha, Sunil Kumar, Shipra Awasthi, M. Tripathi
High number of citations of research publications expresses its intellectual and cognitive impact. Papers with high citations are considered as a landmark in relevant research field as these express trends and emerging research areas as well as set future course of research. The objective of this study is to conduct bibliometric analysis of the top 100 most cited studies in the discipline of Information Science and Library Science. The data for the study was obtained from “Information Science and Library Science” category of Web of Science, as indexed in the last twenty-one years (2000-2021). The outcome of bibliometric analysis included progressive growth in citation over time, annual citation density, name of journal with its impact factor, which published these papers, year of publication, type of article i.e. articles, proceedings, book reviews, reviews and poetry etc; nature of access i.e. subscribed or open access, and country of origin. Number of citations of these papers as reported by Web of Science were cross checked with numbers of citations reported by Google Scholar to understand which one provided higher number of citations for the same paper. The number of citations in the top 100 cited papers ranged from 699 to14,273. The large numbers of the top 100 cited papers were published in MIS Quarterly. There were 40 publications authored by two, while 13 other papers were authored by more than four authors. This research is valuable for scholars in the discipline of library science and information science in identifying highly cited papers in the last 21 years, frequently pursued research areas, and names of journals publishing high quality research work in library Science discipline. The study of frequently cited papers will also guide in designing of objectives and methodology of future research studies. Journals have been charging very high subscription fee. This study will also help librarian in identifying journals which are making valuable contributions in the discipline of Information and Library Science.
研究出版物的大量引用表明其对智力和认知的影响。高被引论文被认为是相关研究领域的里程碑，因为这些论文表达了研究趋势和新兴研究领域，并确定了未来的研究方向。本研究的目的是对信息学与图书馆学学科中被引次数最多的前100篇论文进行文献计量分析。本研究的数据来源于Web of Science的“信息科学与图书馆学”分类，索引时间为近21年(2000-2021)。文献计量分析的结果包括引文随时间的递进增长、年度引文密度、发表这些论文的期刊名称及其影响因子、出版年份、文章类型(即文章、论文集、书评、评论和诗歌等);获取的性质，即订阅或开放获取，以及原产国。我们将Web of Science报告的这些论文的引用次数与Google Scholar报告的引用次数进行交叉核对，以了解哪一篇论文的引用次数更高。排名前100的论文被引次数从699次到14273次不等。被引前100名的论文大部分发表在MIS季刊上。有40篇论文是由两人共同撰写的，另有13篇论文是由4人以上共同撰写的。本研究对图书馆学与情报学领域的学者识别近21年来高被引论文、频繁被引的研究领域和发表高质量研究成果的图书馆学学科期刊名称具有重要的参考价值。对经常被引论文的研究也将指导未来研究目标和方法的设计。期刊收取很高的订阅费。本研究亦有助图书馆馆员甄别在情报与图书馆学领域有贡献的期刊。
{"title":"Top 100 cited papers in Information and Library science: A Brief Analysis","authors":"F. Nisha, Sunil Kumar, Shipra Awasthi, M. Tripathi","doi":"10.5530/jscires.11.3.40","DOIUrl":"https://doi.org/10.5530/jscires.11.3.40","url":null,"abstract":"High number of citations of research publications expresses its intellectual and cognitive impact. Papers with high citations are considered as a landmark in relevant research field as these express trends and emerging research areas as well as set future course of research. The objective of this study is to conduct bibliometric analysis of the top 100 most cited studies in the discipline of Information Science and Library Science. The data for the study was obtained from “Information Science and Library Science” category of Web of Science, as indexed in the last twenty-one years (2000-2021). The outcome of bibliometric analysis included progressive growth in citation over time, annual citation density, name of journal with its impact factor, which published these papers, year of publication, type of article i.e. articles, proceedings, book reviews, reviews and poetry etc; nature of access i.e. subscribed or open access, and country of origin. Number of citations of these papers as reported by Web of Science were cross checked with numbers of citations reported by Google Scholar to understand which one provided higher number of citations for the same paper. The number of citations in the top 100 cited papers ranged from 699 to14,273. The large numbers of the top 100 cited papers were published in MIS Quarterly. There were 40 publications authored by two, while 13 other papers were authored by more than four authors. This research is valuable for scholars in the discipline of library science and information science in identifying highly cited papers in the last 21 years, frequently pursued research areas, and names of journals publishing high quality research work in library Science discipline. The study of frequently cited papers will also guide in designing of objectives and methodology of future research studies. Journals have been charging very high subscription fee. This study will also help librarian in identifying journals which are making valuable contributions in the discipline of Information and Library Science.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80093412","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}
{"title":"Book Review: Technology Business Incubator Process and Performance","authors":"Ganesaraman K","doi":"10.5530/jscires.11.3.51","DOIUrl":"https://doi.org/10.5530/jscires.11.3.51","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81682658","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}
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.
摘要本研究的目的是比较Web of Science收录的文献综述与文献文献的社会影响。本研究是在应用类型的目的和方法方面进行的，是用替代分析法进行调查。本研究的研究对象包括图书馆情报学领域的综述和原创研究论文。对研究问题的综述结果显示，综述文章与原创性研究文章在Mendeley的阅读量、Twitter的分享量、Wikipedia的引用量等方面存在显著差异，而综述文章在新闻媒体和政策方面的反映与原创性研究文章无显著差异。结果表明，综述性文章的社会影响力大于原创性研究文章。因此，这些结果显示了综述文章在科学出版物中的重要性。因此，作者和研究人员以及随后的科学期刊都有必要认识到这些文章在科学与社会互动发展中的重要性，从而更加重视它们的接受和发表。
{"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":null,"pages":null},"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}
Paulo Cassanego Jr, Cristiane Ferreira de Souza Araujo
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.
{"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":null,"pages":null},"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}
The purpose of this study was to identify the citation status of scientific and research journals in the field of Information Science and Knowledge during the years 2016-2018. The present study is a survey analytic one and its statistical population includes all the articles of twelve scientific and research journals published by the National Scientific Journals Commission. Since some articles did not have a number of citations, out of 2264 citations, 1111 citations were analysed. The results showed that there was no statistically significant difference between source citation error and citation source language components, year of publication, number of authors, and author’s academic rank. But it has a significant relationship with the type of citation and publication component. The results showed that out of 1111 citations selected, 21 citations (1.9%) were not retrieved, 749 citations (67.4%) lacked any citations errors and 341 citations (30.7%) contained citations errors. The National Library of Librarian Studies and Information Organization and the Journal of Library and Information Research were the best in terms of citation accuracy, and the Journal of Human Interaction and Information had the lowest citation accuracy. Among the factors contributing to the occurrence of citation errors can be the lack of co-operation between authors, the carelessness of authors, and the lack of emphasis on journals. Solutions such as highlighting journals are recommended for authors to observe the validity of citations, insert proper citations to published articles, and evaluate and review some of the paper citations as an acceptance process.
{"title":"Study on Citation Accuracy of Iranian Journals in the Field of Library and Information Science","authors":"Yasin Veisi, A. Asnafi","doi":"10.5530/jscires.11.3.42","DOIUrl":"https://doi.org/10.5530/jscires.11.3.42","url":null,"abstract":"The purpose of this study was to identify the citation status of scientific and research journals in the field of Information Science and Knowledge during the years 2016-2018. The present study is a survey analytic one and its statistical population includes all the articles of twelve scientific and research journals published by the National Scientific Journals Commission. Since some articles did not have a number of citations, out of 2264 citations, 1111 citations were analysed. The results showed that there was no statistically significant difference between source citation error and citation source language components, year of publication, number of authors, and author’s academic rank. But it has a significant relationship with the type of citation and publication component. The results showed that out of 1111 citations selected, 21 citations (1.9%) were not retrieved, 749 citations (67.4%) lacked any citations errors and 341 citations (30.7%) contained citations errors. The National Library of Librarian Studies and Information Organization and the Journal of Library and Information Research were the best in terms of citation accuracy, and the Journal of Human Interaction and Information had the lowest citation accuracy. Among the factors contributing to the occurrence of citation errors can be the lack of co-operation between authors, the carelessness of authors, and the lack of emphasis on journals. Solutions such as highlighting journals are recommended for authors to observe the validity of citations, insert proper citations to published articles, and evaluate and review some of the paper citations as an acceptance process.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90549382","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}
Based on the literature review, a comparative analysis of the university systems of the countries of the Near East and South East Asia was carried out, and the leading countries in these groups were identified. To support the qualitative comparative analysis of these university systems, a quantitative methodology for calculating country university competitiveness has been developed. Since the largest number of universities in all countries of the world is included in the Webometrics Ranking, this methodology is illustrated by its example. It identifies two indicators - the total number of universities in the country and the average positioning of these universities in the selected ranking. After normalizing these indicators, they are aggregated in a multiplicative and additive way to obtain three integral indicators. The features of the discrepancy in the calculations for these integral indicators are explained. This methodology has been proposed to be tried on the example of other world university rankings.
{"title":"Quantitative Comparative Analysis of Country University Competitiveness: The Case of the Near East and South East Asian Countries","authors":"Vladimir M Moskovkin, T. Saprykina, M. Sizyoongo","doi":"10.5530/jscires.11.3.38","DOIUrl":"https://doi.org/10.5530/jscires.11.3.38","url":null,"abstract":"Based on the literature review, a comparative analysis of the university systems of the countries of the Near East and South East Asia was carried out, and the leading countries in these groups were identified. To support the qualitative comparative analysis of these university systems, a quantitative methodology for calculating country university competitiveness has been developed. Since the largest number of universities in all countries of the world is included in the Webometrics Ranking, this methodology is illustrated by its example. It identifies two indicators - the total number of universities in the country and the average positioning of these universities in the selected ranking. After normalizing these indicators, they are aggregated in a multiplicative and additive way to obtain three integral indicators. The features of the discrepancy in the calculations for these integral indicators are explained. This methodology has been proposed to be tried on the example of other world university rankings.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85382801","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}
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.
四川金丝猴(Rhinopithecus roxellana)是受到世界关注的旗舰物种，对其进行研究具有重要意义。本文以web of science数据库为基础数据源，利用可视化软件CiteSpace，对全世界80年来四川金丝猴的研究进行了分析，总结了四川金丝猴研究的现状。研究表明:1。纵观四川扁鼻猴80年的研究历程，可以归纳为三个发展阶段。1942年至1998年的57年间，是四川金丝猴的初始阶段;1999 - 2006年8年，是四川金丝猴的发育阶段;2007年至今，是四川仰鼻猴研究的高峰阶段。2. 通过对近80年来四川金丝猴研究的国家/地区、机构、作者和核心期刊的调查，我们发现，作为中国特有物种的四川金丝猴的研究仍然以中国的研究单位和人员为主，而且各个国家或地区的研究单位和研究人员之间的研究关系非常密切。这些研究人员发表的论文也集中在一些核心期刊上。3.在其80年的历史中，四川仰鼻猴学科经历了两次爆发期，之后在研究领域逐渐达到饱和。
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