Pub Date : 2023-04-17DOI: 10.5530/jscires.12.1.011
C. Alarcon-Ruiz, J. L. Maguiña, M. Apolaya-Segura, Mario Carhuapoma-Yance, Jose Aranda-Ventrura, P. Herrera-Añazco
The use of medicinal plants by health professionals and the general population is widespread in Latin America and the Caribbean (LAC) region due to its cultural tradition and extensive biodiversity. We aimed to describe the scientific production of medicinal plants in LAC, using bibliometric and co-words analysis for original articles from three databases published from 1970 to 2020. We analyzed 14,397 original articles from Web of Science, Scielo, and LILACS databases. Annual scientific production of medicinal plants in LAC increased from 2000 to 2010 but remained constant. More than half of the included articles had authors from Brazilian institutions, but articles with authors from Cuban institutions had the highest rate of articles per million country inhabitants. LAC countries mostly collaborated with the United States and western Europe. Ilex paraguariensis A.St.-Hil., Uncaria tomentosa (Willd. ex Schult.) DC., and Baccharis trimera (Less.) DC. are the most frequently mentioned medicinal plants. We observed the anti-inflammatory, antimicrobial, antitumor, and antioxidant activity of medicinal plants assessed in these studies, mostly from basic and laboratory research. Overall, the scientific production of medicinal plants in LAC increased and assessed most of its main therapeutic effects. However, more efforts are needed to increase regional collaboration and promote clinical and translational research. These results could be valuable information for decision-makers and scientists to determine future research prioritization and funding.
由于拉丁美洲和加勒比地区的文化传统和广泛的生物多样性，卫生专业人员和普通民众普遍使用药用植物。我们的目的是描述拉丁美洲和加勒比地区药用植物的科学生产，使用文献计量学和共词分析来自1970年至2020年发表的三个数据库的原始文章。我们分析了来自Web of Science、Scielo和LILACS数据库的14397篇原创文章。拉丁美洲和加勒比地区药用植物的年科学产量从2000年到2010年有所增加，但保持不变。纳入的文章中有一半以上的作者来自巴西机构，但作者来自古巴机构的文章每百万国家居民的文章比例最高。拉丁美洲和加勒比国家大多与美国和西欧合作。巴拉圭冬青(野生);Schult交货)。直流。和三叶草酒(少)。直流。是最常被提及的药用植物。我们观察到这些研究中评估的药用植物的抗炎、抗菌、抗肿瘤和抗氧化活性，主要来自基础和实验室研究。总体而言，拉美地区药用植物的科学生产有所增加，并评估了其大部分主要治疗效果。然而，需要更多的努力来加强区域合作，促进临床和转化研究。这些结果可能为决策者和科学家确定未来研究的优先次序和资助提供有价值的信息。
{"title":"Bibliometric Analysis of Medicinal Plants’ Original Articles from Latin America and the Caribbean Region","authors":"C. Alarcon-Ruiz, J. L. Maguiña, M. Apolaya-Segura, Mario Carhuapoma-Yance, Jose Aranda-Ventrura, P. Herrera-Añazco","doi":"10.5530/jscires.12.1.011","DOIUrl":"https://doi.org/10.5530/jscires.12.1.011","url":null,"abstract":"The use of medicinal plants by health professionals and the general population is widespread in Latin America and the Caribbean (LAC) region due to its cultural tradition and extensive biodiversity. We aimed to describe the scientific production of medicinal plants in LAC, using bibliometric and co-words analysis for original articles from three databases published from 1970 to 2020. We analyzed 14,397 original articles from Web of Science, Scielo, and LILACS databases. Annual scientific production of medicinal plants in LAC increased from 2000 to 2010 but remained constant. More than half of the included articles had authors from Brazilian institutions, but articles with authors from Cuban institutions had the highest rate of articles per million country inhabitants. LAC countries mostly collaborated with the United States and western Europe. Ilex paraguariensis A.St.-Hil., Uncaria tomentosa (Willd. ex Schult.) DC., and Baccharis trimera (Less.) DC. are the most frequently mentioned medicinal plants. We observed the anti-inflammatory, antimicrobial, antitumor, and antioxidant activity of medicinal plants assessed in these studies, mostly from basic and laboratory research. Overall, the scientific production of medicinal plants in LAC increased and assessed most of its main therapeutic effects. However, more efforts are needed to increase regional collaboration and promote clinical and translational research. These results could be valuable information for decision-makers and scientists to determine future research prioritization and funding.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"53 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76600135","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.12.1.015
João de Melo Maricato, Marcia Regina da Silva, Talles Brendo Caixeta Ramos
Purpose: This study dwells on the coverage of altmetric indicators in the Mendeley reference manager, citations in the Crossref platform, and the correlations between readers and citations of papers by researchers working in Brazil, according to different fields and subfields of knowledge. Design/Methodology/Approach: We analyzed 152,727 scientific papers published between 2017-2018 by researchers working in Brazil. Findings: The coverage of Brazilian papers by Mendeley is relatively high (87.91%) and 63% of Brazilian papers had citations in Crossref. In the Brazilian context, Mendeley readership is relatively high (average R 2 reaching 70% in some areas). Originality/Value: The correlation between readers in Mendeley and citations in Crossref of Brazilian scientific output is between moderate and high. This indicates that Mendeley and Crossref data can be relevant for evaluating Brazilian science. The data reveal that Mendeley readership can, in many fields, predict citations. These data are generally higher and mor homogeneous than those found in the international researches. The scientific communication of international context (based on international journals) and Brazilian (heavily published in national open access journals) and the information sources used in the studies may partly explain the differences between them.
{"title":"Coverage and Correlations Between Open Citations in Crossref and Readership in Mendeley: Different Fields of Brazilian Science","authors":"João de Melo Maricato, Marcia Regina da Silva, Talles Brendo Caixeta Ramos","doi":"10.5530/jscires.12.1.015","DOIUrl":"https://doi.org/10.5530/jscires.12.1.015","url":null,"abstract":"Purpose: This study dwells on the coverage of altmetric indicators in the Mendeley reference manager, citations in the Crossref platform, and the correlations between readers and citations of papers by researchers working in Brazil, according to different fields and subfields of knowledge. Design/Methodology/Approach: We analyzed 152,727 scientific papers published between 2017-2018 by researchers working in Brazil. Findings: The coverage of Brazilian papers by Mendeley is relatively high (87.91%) and 63% of Brazilian papers had citations in Crossref. In the Brazilian context, Mendeley readership is relatively high (average R 2 reaching 70% in some areas). Originality/Value: The correlation between readers in Mendeley and citations in Crossref of Brazilian scientific output is between moderate and high. This indicates that Mendeley and Crossref data can be relevant for evaluating Brazilian science. The data reveal that Mendeley readership can, in many fields, predict citations. These data are generally higher and mor homogeneous than those found in the international researches. The scientific communication of international context (based on international journals) and Brazilian (heavily published in national open access journals) and the information sources used in the studies may partly explain the differences between them.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"6 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82947623","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.12.1.014
Mohd Iqbal Mohd Noor, N. Awang, Muhammad Fuad Abdullah
There has been a rapid growth for solar energy industry in recent years. The industry has increased its production and power capacity, getting more government subsidies and investment, and achieving lower production cost. The purpose of this study is to synthesize the available research of solar energy in business economics from 2000 to 2019 using scientometric method. This article investigates 968 publications with 26,873 sum of times cited retrieve from Web of Sciences on 17 th August 2020. The most prominent contributors are from United States, Germany, United Kingdom and China. The scientometric approach used in the present study has identified research clusters, authors, journals and keyword that had significant impacts on solar energy in business economics research. By adopting visualization and co-citation techniques, this study able to map the frontiers of the specialty, interconnections between publications in the corpus used, and the prominent research trend.
近年来，太阳能产业发展迅速。该行业提高了生产和发电能力，获得了更多的政府补贴和投资，实现了更低的生产成本。本研究的目的是运用科学计量学方法综合2000 - 2019年太阳能在商业经济学中的研究现状。本文调查了Web of Sciences于2020年8月17日检索到的968篇论文，总被引次数26873次。最突出的贡献者来自美国、德国、英国和中国。运用科学计量学方法对太阳能在商业经济学研究中具有重要影响的研究集群、作者、期刊和关键词进行了识别。通过可视化和共被引技术，本研究能够映射出该学科的前沿、所使用语料库中出版物之间的相互联系以及突出的研究趋势。
{"title":"A Scientometric Review of Solar Energy Research in Business Economics","authors":"Mohd Iqbal Mohd Noor, N. Awang, Muhammad Fuad Abdullah","doi":"10.5530/jscires.12.1.014","DOIUrl":"https://doi.org/10.5530/jscires.12.1.014","url":null,"abstract":"There has been a rapid growth for solar energy industry in recent years. The industry has increased its production and power capacity, getting more government subsidies and investment, and achieving lower production cost. The purpose of this study is to synthesize the available research of solar energy in business economics from 2000 to 2019 using scientometric method. This article investigates 968 publications with 26,873 sum of times cited retrieve from Web of Sciences on 17 th August 2020. The most prominent contributors are from United States, Germany, United Kingdom and China. The scientometric approach used in the present study has identified research clusters, authors, journals and keyword that had significant impacts on solar energy in business economics research. By adopting visualization and co-citation techniques, this study able to map the frontiers of the specialty, interconnections between publications in the corpus used, and the prominent research trend.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"21 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84827883","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.12.1.003
S. Bhattacharya
Leydesdorff ’s work in scientometrics is voluminous and covers various domains of the field. His papers have been highly cited and provided novel pathways for future research. He has published several books which has been of immense value to the research community. Many of his works have become part of the pedagogy of this field. The intellectual depth of his work, clarity, and daring approach has characterized his research. He has played a seminal role in conceptualizing the citation behavior, and co-citation patterns among others, and had taken a critical stance whenever needed in arguing the relevance and validity of bibliometric indicators. He has worked hard to bring novel methodology, new tools, and techniques to the field at large. This includes the development of network analysis techniques for studying the structure and evolution of scientific collaboration networks. He also developed the highly useful ‘Science Overlay Maps’ method, which uses network visualization techniques to identify research fronts and emerging topics in science. The tools and methodologies that he has developed have been widely shared in open access for the research community at large. https://www.leydesdorff.net/software.htm is a wonderful site that provides a rich repository of his work, a link to the openaccess software developed by him for undertaking various bibliometric research, mapping, visualization, etc.
{"title":"Professor Loet Leydesdorff: A Tribute","authors":"S. Bhattacharya","doi":"10.5530/jscires.12.1.003","DOIUrl":"https://doi.org/10.5530/jscires.12.1.003","url":null,"abstract":"Leydesdorff ’s work in scientometrics is voluminous and covers various domains of the field. His papers have been highly cited and provided novel pathways for future research. He has published several books which has been of immense value to the research community. Many of his works have become part of the pedagogy of this field. The intellectual depth of his work, clarity, and daring approach has characterized his research. He has played a seminal role in conceptualizing the citation behavior, and co-citation patterns among others, and had taken a critical stance whenever needed in arguing the relevance and validity of bibliometric indicators. He has worked hard to bring novel methodology, new tools, and techniques to the field at large. This includes the development of network analysis techniques for studying the structure and evolution of scientific collaboration networks. He also developed the highly useful ‘Science Overlay Maps’ method, which uses network visualization techniques to identify research fronts and emerging topics in science. The tools and methodologies that he has developed have been widely shared in open access for the research community at large. https://www.leydesdorff.net/software.htm is a wonderful site that provides a rich repository of his work, a link to the openaccess software developed by him for undertaking various bibliometric research, mapping, visualization, etc.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"28 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87879745","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.12.1.006
Addison Quinones, Eugene I. Hrabarchuk, A. Schupper, Vikram Vasan, Jonathan T. Dullea, Connor Berger, Adam Y. Li, L. McCarthy, John R. Durbin, Muhammad Ali, Roshini Kalagara, Zerubabbel K. Asfaw, Lisa Genadry, William H. Shuman, Theodore C. Hannah, T. Choudhri
The AANS/CNS Joint Section on Tumors (JST) awards are given for tumor research and clinical achievements. Associations between scholarly awards and academic productivity in neurosurgery have not been thoroughly investigated. We explore associations between JST awards and measures of academic productivity to evaluate the relationship between scholarly output, fellowship training, and awarded recognition. Demographic information was collected from public data of 1671 academic neurosurgeons comprising 115 Accreditation Council for Graduate Medical Education accredited institutions. h -index was queried from Scopus. The mean-Relative Citation Ratio (RCR) and weighted-RCR were gathered from the NIH iCite database from 2002-2020. JST award reception was determined from the JST official resource. RCR, h -index, and NIH funding were compared between neurosurgeons who received JST awards and those who did not, using multivariable linear regression. Analysis showed w-RCR was higher among award recipients (β=15.02; 95% CI:4.741,25.29; p <0.01), while m-RCR was not significantly different (β=-0.049, 95%CI 0.2214,0.1238; p =0.5336). h -index was higher among award winners (β=2.155; 95% CI 1.164,3.147; p =0.0008). Award recipients also received greater NIH funding ( p <0.0001) and were positively associated with Oncology/Skull Base, General, and Radiosurgery subspecialty training. Receiving a JST award may be correlated with a more productive research career and establishes benchmark metrics for JST award winning. To our knowledge, this is one of the first analyses on this type of award winning in neurosurgery using both the h -index and the more recently created RCR.
{"title":"Bibliometric Analysis of AANS/CNS Joint Section on Tumors (JST) Award Recipients","authors":"Addison Quinones, Eugene I. Hrabarchuk, A. Schupper, Vikram Vasan, Jonathan T. Dullea, Connor Berger, Adam Y. Li, L. McCarthy, John R. Durbin, Muhammad Ali, Roshini Kalagara, Zerubabbel K. Asfaw, Lisa Genadry, William H. Shuman, Theodore C. Hannah, T. Choudhri","doi":"10.5530/jscires.12.1.006","DOIUrl":"https://doi.org/10.5530/jscires.12.1.006","url":null,"abstract":"The AANS/CNS Joint Section on Tumors (JST) awards are given for tumor research and clinical achievements. Associations between scholarly awards and academic productivity in neurosurgery have not been thoroughly investigated. We explore associations between JST awards and measures of academic productivity to evaluate the relationship between scholarly output, fellowship training, and awarded recognition. Demographic information was collected from public data of 1671 academic neurosurgeons comprising 115 Accreditation Council for Graduate Medical Education accredited institutions. h -index was queried from Scopus. The mean-Relative Citation Ratio (RCR) and weighted-RCR were gathered from the NIH iCite database from 2002-2020. JST award reception was determined from the JST official resource. RCR, h -index, and NIH funding were compared between neurosurgeons who received JST awards and those who did not, using multivariable linear regression. Analysis showed w-RCR was higher among award recipients (β=15.02; 95% CI:4.741,25.29; p <0.01), while m-RCR was not significantly different (β=-0.049, 95%CI 0.2214,0.1238; p =0.5336). h -index was higher among award winners (β=2.155; 95% CI 1.164,3.147; p =0.0008). Award recipients also received greater NIH funding ( p <0.0001) and were positively associated with Oncology/Skull Base, General, and Radiosurgery subspecialty training. Receiving a JST award may be correlated with a more productive research career and establishes benchmark metrics for JST award winning. To our knowledge, this is one of the first analyses on this type of award winning in neurosurgery using both the h -index and the more recently created RCR.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"70 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84706064","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.12.1.004
Sayequa Dandoti, Khadeeja M. N. Ansari
The study aimed to review the CRISPR research trend by covering major historic milestones in its research development from 2005 to date. The data from Scopus considered for this evidence-based scientometric study. Nine thousand four hundred eighty-nine data were extracted and analyzed for publications, sources, authors, affiliations, countries, and keywords based on different scientometric tools using MS Excel and other scientometric software viz. Biblioshiny (RStudio), VOSviewer. The findings showed the content and research direction of the area and have helped us identify the current situation and find the most productive teams in this field. The co-citation analysis identified the highly cited reference. The cluster analysis and timeline helped to recognize the structure and evolution of this research.
{"title":"Global Research Assessment of CRISPR: A Scientometric Analysis of Literature Published in Scopus","authors":"Sayequa Dandoti, Khadeeja M. N. Ansari","doi":"10.5530/jscires.12.1.004","DOIUrl":"https://doi.org/10.5530/jscires.12.1.004","url":null,"abstract":"The study aimed to review the CRISPR research trend by covering major historic milestones in its research development from 2005 to date. The data from Scopus considered for this evidence-based scientometric study. Nine thousand four hundred eighty-nine data were extracted and analyzed for publications, sources, authors, affiliations, countries, and keywords based on different scientometric tools using MS Excel and other scientometric software viz. Biblioshiny (RStudio), VOSviewer. The findings showed the content and research direction of the area and have helped us identify the current situation and find the most productive teams in this field. The co-citation analysis identified the highly cited reference. The cluster analysis and timeline helped to recognize the structure and evolution of this research.","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"8 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91205598","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.12.1.016
Yusuf Shehu Folaranmi Gbolahan, Akinyemi Babatope Ebenezer, Popoola Oluwabunmi Oluwaseun
{"title":"Mapping the Conceptual Structure of Beekeeping from 1980 to 2020","authors":"Yusuf Shehu Folaranmi Gbolahan, Akinyemi Babatope Ebenezer, Popoola Oluwabunmi Oluwaseun","doi":"10.5530/jscires.12.1.016","DOIUrl":"https://doi.org/10.5530/jscires.12.1.016","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"13 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72823876","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.12.1.001
Dwight Figueiredo, Paulomi Sanghavi
{"title":"Bibliometric Analysis of Published Literature Utilizing Optogenetics as a Technique in Neuroscience: 2010–2020","authors":"Dwight Figueiredo, Paulomi Sanghavi","doi":"10.5530/jscires.12.1.001","DOIUrl":"https://doi.org/10.5530/jscires.12.1.001","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79784654","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.12.1.002
Naseema Sheriff, R. Sevukan
{"title":"Exploration of Data Literacy Research Using a Network of Cluster Mapping Approach","authors":"Naseema Sheriff, R. Sevukan","doi":"10.5530/jscires.12.1.002","DOIUrl":"https://doi.org/10.5530/jscires.12.1.002","url":null,"abstract":"","PeriodicalId":43282,"journal":{"name":"Journal of Scientometric Research","volume":"37 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76496246","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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