Thanks to the new collaboration between content recommendation engine TrendMD and journal publishing platform ARPHA, readers of all journals under Pensoft’s imprint, as well as those using the white-label publishing solution provided by the platform, will be given a useful list of recommended articles related to the study they are reading.
The new widget is to save the users a great amount of time, by simply pointing them to the most relevant papers on the topic from across a constantly expanding network of of peer-reviewed articles and research news.
While nearly 8,000 new scholarly articles are published each day, it is basically impossible staying up-to-date with the news from a single scientific field, let alone doing cross-disciplinary research. Furthermore, sifting out the quality literature is another painstaking activity no academic is looking forward to. Hence, TrendMD comes as the sensible solution to help a reader find the most relevant and fine studies on a particular topic. The widget’s recommendations are based on the topic a user is currently reading, what papers they have read in the past, and the articles others with similar interests have sought out – all available from the most authoritative and quality journals in the world.
“TrendMD is excited to welcome Pensoft, a highly innovative, open access, online publishing platform, to the TrendMD network! This partnership will bring over 5,000 open access articles and books in the field of natural history, predominantly taxonomy and organismal biology, to TrendMD’s ever expanding network,” says Paul Kudlow, CEO and co-founder of TrendMD.
“In our continuing effort to develop and implement the most novel tools and workflows in academic publishing, at Pensoft we are pleased to have integrated our journal publishing platform ARPHA with the new-age scholarly innovation that is TrendMD’s tool, so that our readers have an easy and constant access to the most relevant and best-quality research,” says Pensoft’s CEO and founder Prof. Lyubomir Penev.
About TrendMD:TrendMD is a content recommendation engine for scholarly publishers, which powers personalized recommendations for thousands of sites. TrendMD looks beyond just related links to help people discover, read, and cite interesting scholarly content from journals and websites through personalized recommendations.