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Does a Graphical Abstract Bring More Visibility to Your Paper


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Institute of Pharmaceutical Sciences, Department of Pharmacognosy, University of Graz, Universitaetsplatz 4-1, 8010 Graz, Austria

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Department of Statistics and Operations Research, University of Graz, Universitaetsstrasse 15, 8010 Graz, Austria

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Department of Pharmacognosy, University of Vienna, 1090 Vienna, Austria

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Department of Pharmaceutical Botany, Iuliu Hațieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania

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Institute of Genetics and Animal Breeding of the Polish Academy of Sciences, 05-552 Jastrzebiec, Poland





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Author to whom correspondence should be addressed.



Academic Editor: Derek J. McPhee

Abstract A graphical abstract GA represents a piece of artwork that is intended to summarize the main findings of an article for readers at a single glance. Many publishers currently encourage authors to supplement their articles with GAs, in the hope that such a convenient visual summary will facilitate readers with a clearer outline of papers that are of interest and will result in improved overall visibility of the respective publication. To test this assumption, we statistically compared publications with or without GA published in Molecules between March 2014 and March 2015 with regard to several output parameters reflecting visibility. Contrary to our expectations, manuscripts published without GA performed significantly better in terms of PDF downloads, abstract views, and total citations than manuscripts with GA. To the best of our knowledge, this is the first empirical study on the effectiveness of GA for attracting attention to scientific publications. View Full-Text

Keywords: graphical abstract; article views; citations; pdf downloads; scientific writing; science communication; research visibility; online attention; social media shares; Altmetric score graphical abstract; article views; citations; pdf downloads; scientific writing; science communication; research visibility; online attention; social media shares; Altmetric score





Autor: Eva-Maria Pferschy-Wenzig 1, Ulrich Pferschy 2, Dongdong Wang 3, Andrei Mocan 4 and Atanas G. Atanasov 3,5,*

Fuente: http://mdpi.com/



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