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                            [identifier] => oai:ojs2.ijsmc.pro-metrics.org:article/49
                            [datestamp] => 2023-08-26T10:49:33Z
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                                (
                                    [title] => Covid-19 and Sarcopenia: A bibliometric analysis
                                    [creator] => Array
                                        (
                                            [0] => Vaishya, Raju
                                            [1] => Gupta , Brij Mohan
                                            [2] => Singh , Yogendra
                                            [3] => Vaish , Abhishek
                                        )

                                    [description] => Objective. Covid-19 disease affects all organs of the human body, including muscles. However, the association between Covid-19 and Sarcopenia has not been analyzed bibliometrically. In this study, we performed a bibliometric analysis to identify the current hotspots and highlight future trends.
Design/Methodology/Approach. The Scopus database was used as a data source. We analyzed the following indicators: document type, country, collaboration patterns, affiliation, journal name, and citation patterns. MS-Excell and VOSviewer were employed to map and determine essential topics in this field.
Results/Discussion. 846 publications were retrieved from Scopus. They have received 15651 citations, averaging 18.5 citations per paper (CPP). 29.43% of publications received extramural funding from international agencies and together registered a CPP of 40.66. The USA published the most significant number of publications (n=162). However, the highest CPP and Relative Citation Index (RCI) was registered by China (186.0 and 10.05). “Medicine” contributed the largest global output share (82.98%). The Sapienza Università di Roma, Italy (n=20) was the most productive institution. Whereas, Deutsches Zentrum für Herz-Kreislauf-Forschung e. V. Germany registered the highest CPP and RCI. F. Landi was the most impactful author. The International Journal of Environmental Research and Public Health (n=38) and Nutrients (n=28) were the most productive journals. The most prevalent topics of research, as reflected in keywords by frequency of their appearance, were “Covid-19” (n=810), “Sarcopenia” (n=324), “Skeleton Muscle” (n=309), “Muscle Mass” (n=214), “Grip Strength” (n=199), “Physical Activity” (n=172).
Conclusions. This bibliometric study revealed that papers on ‘Covid-19 and Sarcopenia” received a high number of citations (average of 18.5 CPP) within a short period. Those papers which got external funding received much higher CPP (40.66). Maximum contributory and impactful authors were from High-Income Countries. The highly cited papers were 5.25% of the total publications.
                                    [publisher] => Pro-Metrics
                                    [date] => 2023-08-18
                                    [type] => Array
                                        (
                                            [0] => info:eu-repo/semantics/article
                                            [1] => info:eu-repo/semantics/publishedVersion
                                            [2] => Peer-reviewed article
                                        )

                                    [format] => application/pdf
                                    [identifier] => Array
                                        (
                                            [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/49
                                            [1] => 10.47909/ijsmc.49
                                        )

                                    [source] => Array
                                        (
                                            [0] => Iberoamerican Journal of Science Measurement and Communication; Vol. 3 No. 2 (2023): Covid-19: Research Trends at the Global and National Level 
                                            [1] => 2709-3158
                                            [2] => 2709-7595
                                        )

                                    [language] => eng
                                    [relation] => https://ijsmc.pro-metrics.org/index.php/i/article/view/49/61
                                    [rights] => Array
                                        (
                                            [0] => Copyright (c) 2023 Raju Vaishya, Brij Mohan Gupta , Yogendra Singh , Abhishek Vaish 
                                            [1] => https://creativecommons.org/licenses/by-nc/4.0
                                        )

                                )

                        )

                )

        )

)