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                    [id_jnl] => 17
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    [1] => stdClass Object
        (
            [section] => stdClass Object
                (
                    [section] => 28
                )

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    [2] => stdClass Object
        (
            [title] => Array
                (
                    [0] => Public debate on Twitter about COVID-19 based on scientific evidence: a community of attention analysis@en
                    [1] => O debate público sobre o distanciamento social no contexto da COVID-19: análise de uma comunidade de atenção no X (Twitter)@pt
                )

        )

    [3] => stdClass Object
        (
            [abstract] => Array
                (
                    [0] => Introduction: During the COVID-19 pandemic, scientific research began to be widely shared on social media, with particular emphasis on the social network X. Altmetrics helps to understand the impact of these studies and the profile of the communities that interacted with them in this environment. Objective: This case study aims to map the communities of attention network that interacted with the most shared COVID-19 article on X in Brazil between 2020 and 2022. Methodology: The article "Social Distancing Alters the Clinical Course of COVID-19 in Young Adults: A Comparative Cohort Study" was selected from the Dimensions database. Altmetric.com was used to track mentions on X, excluding retweets without comments. The data were analyzed using the VOSviewer software. Results: A total of 483 mentions on X were analyzed, with 7.03% being original tweets and 92.96% being commented retweets. The communities of attention network included 470 users, with 12 verified accounts. Most profiles were individual, with a significant presence of academic and scientific profiles, who showed concern for sharing science-based information. Conclusion: The communities of attention network on X proved to be committed to disseminating legitimate scientific information about health and protection against COVID-19.@en
                    [1] => Introdução: Durante a pandemia da COVID-19, pesquisas científicas começaram a ser amplamente compartilhadas nas mídias sociais, com destaque para a rede social X. A altmetria ajuda a entender o impacto dessas pesquisas e o perfil das comunidades que interagiram com elas nesse ambiente. Objetivo: Este estudo de caso visa mapear a rede de comunidade de atenção que interagiu com o artigo sobre COVID-19 mais compartilhado no X no Brasil entre 2020 e 2022. Metodologia: O artigo "Social Distancing Alters the Clinical Course of COVID-19 in Young Adults: A Comparative Cohort Study" foi selecionado na base de dados Dimensions. Utilizou-se o Altmetric.com para rastrear menções no X, com exclusão de retweets sem comentários. Os dados foram analisados com o software VOSviewer. Resultados: Foram analisadas 483 menções no X, sendo 7,03% tweets originais e 92,96% retweets comentados. A comunidade de atenção incluiu 470 usuários, com 12 contas verificadas. A maioria dos perfis eram individuais, com destaque para perfis acadêmicos e científicos, que demonstraram preocupação em compartilhar informações baseadas na ciência. Conclusão: A comunidade de atenção no X mostrou-se comprometida em disseminar informações científicas legítimas sobre saúde e proteção contra a COVID-19.@pt
                )

        )

    [4] => stdClass Object
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            [author] => Array
                (
                    [0] => Marília Catarina Andrade Gontijo
                    [1] => Ronaldo Ferreira de Araújo
                )

        )

    [5] => stdClass Object
        (
            [subject] => Array
                (
                    [0] => Covid-19@pt
                    [1] => Estudos métricos da informação@pt
                    [2] => Comunicação científica@pt
                    [3] => Comunidades@pt
                    [4] => Covid-19@en
                    [5] => Metric studies of information@en
                    [6] => Scientific communication@en
                    [7] => Communities@en
                )

        )

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            [source] => stdClass Object
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                    [vol] => 23
                    [nr] => 
                    [year] => 2025
                    [theme] => 
                )

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            [datePub] => Array
                (
                    [0] => 2024-12-04
                )

        )

    [8] => stdClass Object
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                    [0] => stdClass Object
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                            [type] => DOI
                            [value] => Array
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                                    [0] => 10.20396/rdbci.v23i00.8675743
                                )

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