RECOMMENDATIONS

F1000Prime is currently divided into more than 40 Faculties, each of which comprises Heads of Faculty, Heads of Sections, Faculty Members and Associate Faculty Members. Each peer-nominated Faculty Member, together with their Associate Faculty Member(s), recommends the best articles they have read in their chosen specialties, which are grouped according to the Faculty's Sections. They write brief, accessible comments, highlighting the key findings and putting the work into context.

Article ratings

When Faculty Members recommend an article for F1000Prime, they also write a brief review explaining what makes the article so important and rate it as 'Good', 'Very Good' or 'Exceptional' (equivalent to scores of 1, 2 or 3 stars, respectively). F1000Prime uses the individual scores to calculate the total scores for each article, which are used to rank the articles in each discipline.

Classifications

Faculty Members also tag the article with the following classifications, if appropriate:

Changes Clinical Practice: the article recommends a complete, specific and immediate change in practice by clinicians for a defined group of patients

Confirmation: validates previously published data or hypotheses

Controversial: challenges established dogma

Good for Teaching: key article in field and/or well written

Interesting Hypothesis: presents new model

New Finding: presents original data, models or hypotheses

Novel Drug Target: suggests new targets for drug discovery

Refutation: disproves previously published data or hypotheses

Technical Advance: introduces a new practical/theoretical technique, or novel use of an existing technique

F1000Prime will further assign any relevant article types: Clinical Trial, Systematic Review/Meta-analysis and Review/Commentary.

INDEXING

Each article is then cross-indexed to all appropriate Sections within each Faculty and across the Faculties to make it easier to find relevant articles when browsing the site by subject. For example, an article on stroke could be indexed in 'Cerebrovascular Disease', 'Hypertension', 'Neuro-Intensive Care' and 'Neurosurgical Care'. An article can be recommended by more than one Faculty Member from any Faculty across biology and medicine – each recommendation brings an independent viewpoint and can highlight relevance across Faculties, offering different perspectives and interpretations of an article.

The NEW badge

The NEW badge, with accompanying date, indicates recommendations that have been added to F1000Prime in the previous 7 days and is placed next to the name of the Faculty Member who made the new recommendation. The icon does not necessarily indicate a new article, but it does indicate new recommendations for an article that might already have caught your eye, thus leading you to read the new contribution.