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Scholarly journals are increasingly using social media to share their latest research publications and communicate with their readers. Having a presence on social media gives journals a platform to raise their profile and promote their content. This study compares the number of clicks received when journals provide two types of links to subscription articles: open access (OA) and paid content links. We examine the OA effect using unique matched-pair data for the journal Nature Materials. Our study finds that OA links perform better than paid content links. In particular, when the journal does not indicate that a link to an article is an OA link, there is an obvious drop in performance against clicks on links indicating OA status. OA has a positive effect on the number of clicks in all countries, but its positive impact is slightly greater in developed countries. The results suggest that free content is more attractive to users than paid content. Social media exposure of scholarly articles promotes the use of research outputs. Combining social media dissemination with OA appears to enhance the reach of scientific information. However, extensive further efforts are needed to remove barriers to OA.
Social media has become integrated into the fabric of the scholarly communication system in fundamental ways: principally through scholarly use of social media platforms and the promotion of new indicators on the basis of interactions with these plat
In this article, we analyze the citations to articles published in 11 biological and medical journals from 2003 to 2007 that employ author-choice open access models. Controlling for known explanatory predictors of citations, only 2 of the 11 journals
Nowadays, researchers have moved to platforms like Twitter to spread information about their ideas and empirical evidence. Recent studies have shown that social media affects the scientific impact of a paper. However, these studies only utilize the t
It has been shown (S. Lawrence, 2001, Nature, 411, 521) that journal articles which have been posted without charge on the internet are more heavily cited than those which have not been. Using data from the NASA Astrophysics Data System (ads.harvard.
Citation prediction of scholarly papers is of great significance in guiding funding allocations, recruitment decisions, and rewards. However, little is known about how citation patterns evolve over time. By exploring the inherent involution property