From the BioMed Central Blog:
BioMed Central is pleased to announce that we now publish manuscripts in ePUB format. This device-neutral format allows readers to view articles on any eReader. ePUB is designed for reflowable content, meaning that an eReader can optimize text for a particular display device. ePUB also supports fixed-layout content.
Our first ePUB files are now available in the Journal of Neuroinflammation. You can view the ePUB files on your eReader, or through freely available software such as Adobe Digital Editions.
In other BioMed Central News…
BioMed Central has launched a new semantically-enriched search tool, Cases Database, which aims to enhance the discovery, filtering and aggregation of medical case reports from many journals. Open access to journal articles published under with Creative Commons licenses which permit text mining enable the literature to be reused as a resource for scientific discovery.
Cases Database uses text mining and medical term recognition to filter peer reviewed medical case reports and provide a semantically enriched search experience. The database offers structured search and filtering by condition, symptom, intervention, pathogen, patient demographic and many other data fields, allowing fast identification of relevant case reports to support clinical practice and research. Registered users can save cases, set up email alerts to new cases matching their search terms, and export their results. Cases Database will be free to access and is expected to be of particular interest to practicing clinicians, researchers, lecturers, drug regulators, patients, students and authors.
Case reports from Springer, BioMed Central’s parent company, and BMJ Case Reports are included in the launch version of the database. And we are working with a number of other publishers, who recognise the importance of enhanced discoverability, to include their case report content which is published under a non-CC-BY license.
More than 11,000 cases from 100 journals are currently available.
Direct to Cases Database