(function(doc, html, url) { var widget = doc.createElement("div"); widget.innerHTML = html; var script = doc.currentScript; // e = a.currentScript; if (!script) { var scripts = doc.scripts; for (var i = 0; i < scripts.length; ++i) { script = scripts[i]; if (script.src && script.src.indexOf(url) != -1) break; } } script.parentElement.replaceChild(widget, script); }(document, '

Large expert-curated database for benchmarking document

What is it about?

To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors

Why is it important?

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago.

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The following have contributed to this page:
Iseult Lynch, Kutty Selva Nandakumar, Florian Rehfeldt, Carmen San Martín, Andrew Beale, Patricia Graves, Hugh Byrne, Tullio Florio, Stefan Lorkowski, Christine McGarrigle, Miguel Viveiros, Luca Galluzzi, Christine Toelzer , marco cascella, Maurizio Petrelli, Kathrin Karsay, Alejandro Lazo-Langner, Tristan Reddan, Soroush Safaei, Cyrille Goarant, Amanda Thrift, Saurab Sharma, Ph.D., ABHISHEKA BANSAL, Yoichi Watanabe, Daniel Prieto, Kazuki Ide, James Brown, Azubuike Ukubuiwe, Joan Albiol, Jun Shen, Adrian Meule, Alvin Wong, Diego Valera-Cornejo, Rabea Gadelkareem, Piero Carninci, Ugo Marzocchi, Elvis Martis, Chuang Ma, Martin Bartas, Mirella Walker, Natalia Echeverría, Michael Boah, Giuseppe Lanza, Sophie Ohlsson, Farid Rahimi, Gajendra Raghava, MOURAD TAYEBI, Nicola Roberts, Craig Billington, Ana Nordberg, Emma Hobbs, and Lubna Razak
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