Array
(
    [0] => stdClass Object
        (
            [journal] => stdClass Object
                (
                    [id_jnl] => 87
                )

        )

    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 284
                )

        )

    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Covid-19 and Sarcopenia: A bibliometric analysis@en
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => 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.@en
                )

        )

    [4] => stdClass Object
        (
            [author] => Array
                (
                    [0] => Raju Vaishya
                    [1] => Brij Mohan Gupta
                    [2] => Yogendra Singh
                    [3] => Abhishek Vaish
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                )

        )

    [6] => stdClass Object
        (
            [source] => stdClass Object
                (
                    [vol] => 3
                    [nr] => no.
                    [year] => 2023
                    [theme] => 
                )

        )

    [7] => stdClass Object
        (
            [datePub] => Array
                (
                    [0] => 2023-08-18
                )

        )

    [8] => stdClass Object
        (
            [DOI] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => DOI
                            [value] => Array
                                (
                                    [0] => 10.47909/ijsmc.49
                                )

                        )

                )

        )

    [9] => stdClass Object
        (
            [http] => Array
                (
                    [0] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/49
                                )

                        )

                    [1] => stdClass Object
                        (
                            [type] => HTTP
                            [value] => Array
                                (
                                    [0] => https://ijsmc.pro-metrics.org/index.php/i/article/view/49/61
                                )

                        )

                )

        )

    [10] => stdClass Object
        (
            [language] => Array
                (
                    [0] => en
                )

        )

    [11] => stdClass Object
        (
            [license] => Array
                (
                    [0] => Copr
                    [1] => by-nc/4.0
                )

        )

)