The relationship between citation-based metrics and Twitter in the area of age related macular degeneration research: Altmetric and bibliometric study

Abstract

<b>Purpose:</b> The aim of this research is to analyze the bibliometric and altmetric scores of highly cited articles in the area&nbsp;of age related macular degeneration (AMD) research and to assess the correlations between them.<br /> <b>Material and methods:<i> </i></b>The data of publications in last decade were retrieved from the Web of Science Core Collection database using "age related macular degeneration" as a search term. The top 100 cited articles (T100)&nbsp; list was analyzed by author name, publication year, main topic, study type, journal name, journal impact factor (IF), H-index, total citation number (TCN), average citation per year (ACpY), Altmetric attention score (AAS), and number of tweets (NTs). VOSviewer software was utilized for&nbsp; visualization of&nbsp; bibliometric data.<br /> <b>Results:<i> </i></b>We discovered 16.984 articles in the last decade. The median values for TCN and AAS were 221 (IQR 178–380.75) and 13 (IQR 4-37.75), respectively in T100 list. The majority of the highly&nbsp;cited&nbsp;articles in AMD research have mainly focused on AMD treatment (n=34), especially anti-vascular endothelial growth factor therapy. However, social attention was primarily on the stem cell therapy. While AAS and NTs did not have significant correlation with TCN, they did show a significant positive correlation with ACpY. AAS and NTs showed significant positive correlation with journal IF and H-index.<br /> <b>Conclusion:<i> </i></b>Treatment for AMD is the most interested&nbsp;issue in the area. Stem cell therapies are popular on social media. The interest of social media is on articles that continue to be cited over the years rather than articles with high total citations.