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  1. Article: Rubella Virus Infections: A Bibliometric Analysis of the Scientific Literature from 2000 to 2021.

    Ejaz, Hasan / Zeeshan, Hafiz Muhammad / Iqbal, Abid / Ahmad, Shakil / Ahmad, Fahad / Abdalla, Abualgasim Elgaili / Anwar, Naeem / Junaid, Kashaf / Younas, Sonia / Sadiq, Ashina / Atif, Muhammad / Bukhari, Syed Nasir Abbas

    Healthcare (Basel, Switzerland)

    2022  Volume 10, Issue 12

    Abstract: 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 ...

    Abstract 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.
    Language English
    Publishing date 2022-12-17
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2721009-1
    ISSN 2227-9032
    ISSN 2227-9032
    DOI 10.3390/healthcare10122562
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Bibliometric Analysis of Publications on the Omicron Variant from 2020 to 2022 in the Scopus Database Using R and VOSviewer.

    Ejaz, Hasan / Zeeshan, Hafiz Muhammad / Ahmad, Fahad / Bukhari, Syed Nasir Abbas / Anwar, Naeem / Alanazi, Awadh / Sadiq, Ashina / Junaid, Kashaf / Atif, Muhammad / Abosalif, Khalid Omer Abdalla / Iqbal, Abid / Hamza, Manhal Ahmed / Younas, Sonia

    International journal of environmental research and public health

    2022  Volume 19, Issue 19

    Abstract: Human respiratory infections caused by coronaviruses can range from mild to deadly. Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have been published on its Omicron variant. In order to remedy this deficiency, this study ...

    Abstract Human respiratory infections caused by coronaviruses can range from mild to deadly. Although there are numerous studies on coronavirus disease 2019 (COVID-19), few have been published on its Omicron variant. In order to remedy this deficiency, this study undertook a bibliometric analysis of the publishing patterns of studies on the Omicron variant and identified hotspots. Automated transportation, environmental protection, improved healthcare, innovation in banking, and smart homes are just a few areas where machine learning has found use in tackling complicated problems. The sophisticated Scopus database was queried for papers with the term "Omicron" in the title published between January 2020 and June 2022. Microsoft Excel 365, VOSviewer, Bibliometrix, and Biblioshiny from R were used for a statistical analysis of the publications. Over the study period, 1917 relevant publications were found in the Scopus database. Viruses was the most popular in publications for Omicron variant research, with 150 papers published, while Cell was the most cited source. The bibliometric analysis determined the most productive nations, with USA leading the list with the highest number of publications (344) and the highest level of international collaboration on the Omicron variant. This study highlights scientific advances and scholarly collaboration trends and serves as a model for demonstrating global trends in Omicron variant research. It can aid policymakers and medical researchers to fully grasp the current status of research on the Omicron variant. It also provides normative data on the Omicron variant for visualization, study, and application.
    MeSH term(s) Bibliometrics ; COVID-19/epidemiology ; Humans ; Publications ; SARS-CoV-2
    Language English
    Publishing date 2022-09-29
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2175195-X
    ISSN 1660-4601 ; 1661-7827
    ISSN (online) 1660-4601
    ISSN 1661-7827
    DOI 10.3390/ijerph191912407
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

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