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Editor’s Choice articles are based on recommendations by the scientific editors of journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.
Die Wirtschaft 1 2016
By Hasan Ejaz 1, *, † , Hafiz Muhammad Zeeshan 2, †, Abid Iqbal 3, Shakil Ahmad 3, Fahad Ahmad 4, Abualgasim Elgaili Abdalla 1, Naeem Anwar 5, Kashaf Junaid 6, Sonia Younas 7, Ashina Sadiq 8, Muhammad Atif 1 and Syed Nasir Abbas Bukhari 9
Rubella virus (RuV) generally causes a mild infection, but it can sometimes lead to systemic abnormalities. This study aimed to conduct a bibliometric analysis of over two decades of RuV research. Medical studies published from 2000 to 2021 were analyzed to gain insights into and identify research trends and outputs in RuV. R and VOSviewer were used to conduct a bibliometric investigation to determine the globally indexed RuV research output. The Dimensions database was searched with RuV selected as the subject, and 2500 published documents from the preceding two decades were reviewed. The number of publications on RuV has increased since 2003, reaching its peak in 2020. There were 12, 072 authors and 16, 769 author appearances; 88 publications were single-authored and 11, 984 were multi-authored. The United States was the most influential contributor to RuV research, in terms of publications and author numbers. The number of RuV-related articles has continued to increase over the past few years due to the significant rubella burden in low-income nations. This study will aid in formulating plans and policies to control and prevent RuV infections.
Rubella virus (RuV) is an RNA virus and a member of the Rubivirus genus in the Matonaviridae family [1]. It has a positive-polarity single-stranded RNA genome roughly 10 kb in size, surrounded by capsid proteins arranged in a roughly spherical shape but not icosahedral, and an external bilayer lipid envelope. The RuV genome encodes viral nonstructural and structural proteins, including the capsid and envelope glycoproteins E1 and E2 [2, 3]. Although RuV has only a single serotype and vaccination programs have significantly reduced RuV-infected cases, it continues to spread in countries with low vaccination coverage [4, 5]. Approximately 30% of the global population remains unvaccinated against RuV and is at risk of infection [6]. RuV is a contagious airborne virus that causes asymptomatic, mild, or severe illness that manifests as fever, lymphadenopathies, and generalized skin rashes [7].
A Cucurbit[8]uril 2:2 Complex With A Negative Pka Shift
When infection occurs within the first eight weeks of pregnancy, RuV can have tragic and severe deleterious effects on the fetus, including malformations, premature delivery, and miscarriage [8]. Fetal malformation or congenital rubella syndrome (CRS) can affect multiple organs, resulting in permanent defects, including microcephaly, encephalopathy, heart defects, retinopathy, and deafness [9]. Approximately 100, 000 cases of CRS occur worldwide each year [10, 11]. However, the frequency of these cases may be higher than reported because vaccination coverage is only 70%. Therefore, establishing a rigorous and active survey program for rubella and its related congenital syndrome, as well as nationwide introduction of the rubella vaccine—particularly in developing countries—may be crucial strategies for decreasing the incidence of rubella infection and CRS [6].
Bibliometrics is a valuable tool for studying the scientific literature and output through the application of mathematical, statistical, computational, and other methodologies to help extract useful information [12]. Bibliometric analysis considerably increases the quality of literature reviews by offering a transparent, systematic, and repeatable review method. It can analyze the trend in a scientific topic, disclose gaps, and explore key research directions through in-depth investigations of databases, yielding fruitful results that policymakers and funding agencies can exploit to revise their strategies. Bibliometric analyses have been used to review the literature on COVID-19 [13], AIDS [14], hepatitis B virus [15], oncolytic virus [16], and zika virus [17]. Nevertheless, they have not yet been applied to the literature on RuV. This study aimed to use a bibliometric analysis to evaluate the current situation in RuV research in the literature, and to visualize the characteristics and trends in this research that will help to identify future prospects. Furthermore, we evaluated the year-by-year distribution of articles to identify the most productive institutes and countries, as well as the authors with the greatest influence.
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A bibliometric analysis was conducted in this study to considerably increase the quality of the literature review by offering a transparent, systematic, and repeatable review method. It allows for mapping study domains and influential work without subjectivity, which is essential for a holistic approach to the literature review process. The use of statistical and mathematical tools to analyze books and media communications is known as bibliometric analysis. Biblioshiny is a web-based application that provides a user interface for Bibliometrix for non-programmers. It facilitates researchers’ usage of Bibliometrix’s key features. To conduct a bibliometric analysis, various databases are available; each database has distinct characteristics and can offer various features. The most frequently used literature databases are PubMed and Dimensions, both of which are free. However, Web of Science and Scopus cover almost all disciplines, but are only available as subscription databases. Based on sources, authors, documents, and clustering by coupling, analytics and graphs are generated for four distinct levels of metrics. The three K-structures of knowledge can be analyzed using conceptual, intellectual, and social structures. R Studio was initially used to install and load the Bibliometrix R package. By typing Biblioshiny() into the R terminal, the Biblioshiny application was started. A number of tools made available by Bibliometrix enable investigators to conduct comprehensive bibliometric analyses [18, 19, 20,
Developments Of Diketopyrrolopyrrole‐dye‐based Organic Semiconductors For A Wide Range Of Applications In Electronics
By Hasan Ejaz 1, *, † , Hafiz Muhammad Zeeshan 2, †, Abid Iqbal 3, Shakil Ahmad 3, Fahad Ahmad 4, Abualgasim Elgaili Abdalla 1, Naeem Anwar 5, Kashaf Junaid 6, Sonia Younas 7, Ashina Sadiq 8, Muhammad Atif 1 and Syed Nasir Abbas Bukhari 9
Rubella virus (RuV) generally causes a mild infection, but it can sometimes lead to systemic abnormalities. This study aimed to conduct a bibliometric analysis of over two decades of RuV research. Medical studies published from 2000 to 2021 were analyzed to gain insights into and identify research trends and outputs in RuV. R and VOSviewer were used to conduct a bibliometric investigation to determine the globally indexed RuV research output. The Dimensions database was searched with RuV selected as the subject, and 2500 published documents from the preceding two decades were reviewed. The number of publications on RuV has increased since 2003, reaching its peak in 2020. There were 12, 072 authors and 16, 769 author appearances; 88 publications were single-authored and 11, 984 were multi-authored. The United States was the most influential contributor to RuV research, in terms of publications and author numbers. The number of RuV-related articles has continued to increase over the past few years due to the significant rubella burden in low-income nations. This study will aid in formulating plans and policies to control and prevent RuV infections.
Rubella virus (RuV) is an RNA virus and a member of the Rubivirus genus in the Matonaviridae family [1]. It has a positive-polarity single-stranded RNA genome roughly 10 kb in size, surrounded by capsid proteins arranged in a roughly spherical shape but not icosahedral, and an external bilayer lipid envelope. The RuV genome encodes viral nonstructural and structural proteins, including the capsid and envelope glycoproteins E1 and E2 [2, 3]. Although RuV has only a single serotype and vaccination programs have significantly reduced RuV-infected cases, it continues to spread in countries with low vaccination coverage [4, 5]. Approximately 30% of the global population remains unvaccinated against RuV and is at risk of infection [6]. RuV is a contagious airborne virus that causes asymptomatic, mild, or severe illness that manifests as fever, lymphadenopathies, and generalized skin rashes [7].
A Cucurbit[8]uril 2:2 Complex With A Negative Pka Shift
When infection occurs within the first eight weeks of pregnancy, RuV can have tragic and severe deleterious effects on the fetus, including malformations, premature delivery, and miscarriage [8]. Fetal malformation or congenital rubella syndrome (CRS) can affect multiple organs, resulting in permanent defects, including microcephaly, encephalopathy, heart defects, retinopathy, and deafness [9]. Approximately 100, 000 cases of CRS occur worldwide each year [10, 11]. However, the frequency of these cases may be higher than reported because vaccination coverage is only 70%. Therefore, establishing a rigorous and active survey program for rubella and its related congenital syndrome, as well as nationwide introduction of the rubella vaccine—particularly in developing countries—may be crucial strategies for decreasing the incidence of rubella infection and CRS [6].
Bibliometrics is a valuable tool for studying the scientific literature and output through the application of mathematical, statistical, computational, and other methodologies to help extract useful information [12]. Bibliometric analysis considerably increases the quality of literature reviews by offering a transparent, systematic, and repeatable review method. It can analyze the trend in a scientific topic, disclose gaps, and explore key research directions through in-depth investigations of databases, yielding fruitful results that policymakers and funding agencies can exploit to revise their strategies. Bibliometric analyses have been used to review the literature on COVID-19 [13], AIDS [14], hepatitis B virus [15], oncolytic virus [16], and zika virus [17]. Nevertheless, they have not yet been applied to the literature on RuV. This study aimed to use a bibliometric analysis to evaluate the current situation in RuV research in the literature, and to visualize the characteristics and trends in this research that will help to identify future prospects. Furthermore, we evaluated the year-by-year distribution of articles to identify the most productive institutes and countries, as well as the authors with the greatest influence.
![]()
A bibliometric analysis was conducted in this study to considerably increase the quality of the literature review by offering a transparent, systematic, and repeatable review method. It allows for mapping study domains and influential work without subjectivity, which is essential for a holistic approach to the literature review process. The use of statistical and mathematical tools to analyze books and media communications is known as bibliometric analysis. Biblioshiny is a web-based application that provides a user interface for Bibliometrix for non-programmers. It facilitates researchers’ usage of Bibliometrix’s key features. To conduct a bibliometric analysis, various databases are available; each database has distinct characteristics and can offer various features. The most frequently used literature databases are PubMed and Dimensions, both of which are free. However, Web of Science and Scopus cover almost all disciplines, but are only available as subscription databases. Based on sources, authors, documents, and clustering by coupling, analytics and graphs are generated for four distinct levels of metrics. The three K-structures of knowledge can be analyzed using conceptual, intellectual, and social structures. R Studio was initially used to install and load the Bibliometrix R package. By typing Biblioshiny() into the R terminal, the Biblioshiny application was started. A number of tools made available by Bibliometrix enable investigators to conduct comprehensive bibliometric analyses [18, 19, 20,
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