An altmetric study: Social attention based evaluation of top-100 publications about the COVID-19 pandemic from notification of the first case to the 6th month
dc.authorscopusid | 6508099506 | |
dc.authorscopusid | 36474476000 | |
dc.authorscopusid | 57216340271 | |
dc.authorscopusid | 56928021200 | |
dc.authorscopusid | 57322773400 | |
dc.contributor.author | Dokur, Mehmet | |
dc.contributor.author | Baysoy, Nüket Güler | |
dc.contributor.author | Uysal, Betül Borku | |
dc.contributor.author | Karadağ, Mehmet | |
dc.contributor.author | Demirbilek, Mahmut | |
dc.date.accessioned | 2024-09-19T15:41:33Z | |
dc.date.available | 2024-09-19T15:41:33Z | |
dc.date.issued | 2021 | |
dc.department | Hatay Mustafa Kemal Üniversitesi | en_US |
dc.description.abstract | Objective: Altmetrics, or alternative-metrics, have recently emerged as a web-based metrics measuring the impact of an individual article in social media accounts with an emphasis on the public attention/engagement with the research output. Aim of this study is to perform mid-2020 altmetric analysis of top-100 articles about COVID-19 that provoked the most online attention. Methods: Altmetric Explorer search was performed in June 3th,2020. After ranked by altmetric attention score (AAS: an automatically calculated weighted count of all of the attention a research output has received in social media), articles that are not related by COVID-19 were excluded and the first-100 COVID-19-related articles were analyzed. Variables evaluated were (I) AAS, (II) dimensions-badge (interactive visualizations that showcase the citation data origins for individual publications), (III) month of publication, (IV) distribution of web-sources, (V) demographic-breakdown type distributions of citations, (VI) geographic-breakdown type distributions of citations, (VII) level-of-evidence (decided using SIGN-Criteria) (VIII) Q-categories of scientific journals, and (IX) h-index. Descriptive and correlational statistics were performed. Kruskal-Wallis test was used for AAS and dimensions-badge value comparisons while post-hoc analyses were performed by Dunn test. Spearman correlation coefficients were calculated to detect linear relationship between numerical variables. Analyses were performed by SPSS23.0 and p<0.05 was considered statistically significant. Results: Most (74%) of the disseminated articles were published in Q1-journals while evidence levels were mostly level-3/level-4. Content of the first 3 articles was about the impact of non-pharmaceutical interventions, origin of COVID-19 and chloroquine usage, respectively. There was no significant difference between AAS in different months (p=0.673) but dimensions-badges in January were significantly higher (p<0.05). There was a weak positive correlation between AAS and dimensionsbadge (r=0.250; p=0.017). Conclusion: Dimensions-badge and AAS results revealed that academia discussed COVID-19 much more in the first-month of pandemic, but then interests continued parallelly in academia and other social media platforms, including public. Academicians have discussed experiences of large-patient series but public preferred what is potentially protective or risky for them. Although enormously fast accumulation and dissemination of new scientific publications were witnessed, it seems sens-clinique rather than strict evidence-based-advice transferred to journals. Because infodemic is another emerging problem, every scientist should be ethically more responsible about the publication they choose to disseminate. Interpretations/public-messages of scientists might also be critical, given the fact that only 15% of discussed Covid-19 articles was in level-1/level-2 evidence © 2021,Turk Hijyen ve Deneysel Biyoloji Dergisi.All Rights Reserved | en_US |
dc.identifier.doi | 10.5505/TURKHIJYEN.2021.66743 | |
dc.identifier.endpage | 442 | en_US |
dc.identifier.issn | 0377-9777 | |
dc.identifier.issue | 4 | en_US |
dc.identifier.scopus | 2-s2.0-85125657242 | en_US |
dc.identifier.scopusquality | Q4 | en_US |
dc.identifier.startpage | 411 | en_US |
dc.identifier.trdizinid | 521862 | en_US |
dc.identifier.uri | https://doi.org/10.5505/TURKHIJYEN.2021.66743 | |
dc.identifier.uri | https://search.trdizin.gov.tr/tr/yayin/detay/521862 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12483/14328 | |
dc.identifier.volume | 78 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | TR-Dizin | en_US |
dc.language.iso | en | en_US |
dc.publisher | Refik Saydam National Public Health Agency (RSNPHA) | en_US |
dc.relation.ispartof | Turk Hijyen ve Deneysel Biyoloji Dergisi | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Altmetrics | en_US |
dc.subject | Covid-19 | en_US |
dc.subject | Electronic platforms | en_US |
dc.subject | Infodemic | en_US |
dc.subject | Level-of-evidence | en_US |
dc.subject | Public health | en_US |
dc.subject | Social attention | en_US |
dc.subject | Web-based metrics | en_US |
dc.title | An altmetric study: Social attention based evaluation of top-100 publications about the COVID-19 pandemic from notification of the first case to the 6th month | en_US |
dc.title.alternative | Altmetrik bir çalışma: COVID-19 pandemisinde ilk vakanın bildiriminden 6 ay sonrasına dek sosyal medya atıflarında liste başı olan 100 yayının değerlendirilmesi | en_US |
dc.type | Article | en_US |