TrendMD Outperforms Google Scholar and Twitter in Reader Engagement
TrendMD visitors are 2x as engaged as readers from PubMed and Google Scholar, 3x more engaged than Twitter referrals
During September and October 2016, bounce rates for readers referred to the Journal of Medical Internet Research content via the TrendMD widget were half those of readers who used Google Scholar or PubMed, a third of bounce rates for readers directed from Twitter, and a quarter of those of readers who used Google.
Understanding the Importance of Bounce Rates in Academic Publishing
But why do bounce rates matter? A high bounce rate means that readers aren’t exploring; readers are coming, looking at one page, and leaving. High bounce rates mean low engagement.
Engagement with a site can be measured by bounce rate and pages viewed per session. Bounce rates refer to the proportion of visitors who only look at one page on a given site. In contrast, pages viewed per session refer to the average number of pages a visitor will look at before navigating to a different site. In both respects, TrendMD sent significantly more engaged visitors to JMIR than Google Scholar, PubMed, Twitter, or Google.
How TrendMD Enhances Content Discovery and Reader Engagement
How much more engaged are readers referred by TrendMD? In addition to much lower bounce rates (13% compared to 26% and above), readers directed to JMIR via TrendMD viewed 150% more pages per visit than any other source. This means 150% more content on a publisher’s site is discovered when TrendMD refers the reader.
Engaged readers mean more of your content is discovered on every visit, increasing the probability of readers returning and continuing to explore later.
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