Science and Research Content

TrendMD’s content recommendation engine reaches 12 million targeted readers monthly -

TrendMD has announced that its content recommendation engine has reached 12 million targeted readers monthly, delivering 450,000 article readers in the last month - offering innovative content marketing solution. TrendMD helps clinicians, researchers, and scholars find research and news relevant to their immediate interest, increasing audience engagement and readership.

Faced with the challenge of finding research they need across a staggering and ever-growing number of articles online, researchers and clinicians are clicking on personalised article recommendations delivered by TrendMD's recommendation widget.

Using sophisticated algorithms across millions of articles served each month, recommended articles are identified based on keywords and user behaviour, such as click behaviour ("people that read X, also clicked on Y"), article popularity, and personalisation (what the specific visitor has read on past visits to the network). From an article page with the TrendMD widget, readers get direct links to recommended articles either from within that publisher, or from a third-party publisher - exactly at the moment they are engaged in research - saving time and increasing awareness of relevant research they may not have discovered with a keyword search.

Ingentaconnect recently added 96 journals from 32 publishers to the TrendMD network. In the past month, TrendMD’s recommendation widget was added to over a million articles across hundreds of journals from leading STM publishers such as Wolters Kluwer, Elsevier, Nature Publishing Group, and others. TrendMD's network is a growing list of the world’s leading research publishers which includes BMJ Group, IEEE (EMBS), MDPI, and Rockefeller University Press. The article recommendation widget is featured across more than 70 publishing partners and is viewed by nearly 12 million readers per month.

Since its launch in 2014, TrendMD's content discoverability engine has become increasingly sophisticated. More content is added, user data expands, and algorithms are enhanced and tested. To determine TrendMD's effect on weekly page views, this summer a controlled test was run for a group of 1000 randomly selected articles published in BMJ Open. Articles included on the TrendMD recommendation widget increased weekly page views by 10% and as high as 16% and 28% under different controlled conditions during the six week test period, demonstrating the TrendMD widget's effectiveness as a content marketing solution.

Brought to you by Scope e-Knowledge Center, a world-leading provider of abstraction, indexing, entity extraction and knowledge organisation models (Taxonomies, Thesauri and Ontologies).

Click here to read the original press release.

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