In:  Aggregation  

New partnership with PeerJ

Today, we’re pleased to announce a new partnership with the Open Access publisher PeerJ! We are all  very excited to have PeerJ joining us as one of the leading and most innovative open access publishers, and we are happy to see them continuing to help push the curve for scholarly communication.

You can read the press release here and access all the new content here.

Jason Hoyt, co-founder and CEO of PeerJ said “Computer Science has traditionally been published in conference proceedings, so an Open Access journal is a relatively new scholarly channel, but one that we believe the community is ready to embrace. To get there though, Open Access needs more visibility and that’s why we’re thrilled to be working with ScienceOpen.”

Things you can do with the new content

  1. Build a collection! Combine it with other computer science content to create a valuable resource for your research community.
  2. Peer review an article! All articles on our platform are open for commenting or post-publication peer review.
  3. Share and recommend articles for your colleagues.
  4. See which articles are the most discussed online by tracking their Altmetric score.

All other published content from the main journal at PeerJ is already on our platform, as it is indexed in PubMed Central.

Top new articles

While measuring ‘top’ articles is certainly up for debate, here are some that nonetheless caught our eyes!

  1. Measuring online social bubbles (link) – “Our results could lead to a deeper understanding of how technology biases our exposure to new information.”
  2. Achieving human and machine accessibility of cited data in scholarly publications (link) – “The guidance provided here is intended to help achieve widespread, uniform human and machine accessibility of deposited data, in support of significantly improved verification, validation, reproducibility and re-use of scholarly/scientific data.”
  3. Quantifying the effect of sentiment on information diffusion in social media (link) – “Our contribution represents a step forward to understand how the emotions expressed in short texts correlate with their spreading in online social ecosystems, and may help to craft effective policies and strategies for content generation and diffusion.”
  4. Navigating the massive world of reddit: using backbone networks to map user interests in social media (link) – “We suggest that the integration of interest maps into popular social media platforms will assist users in organizing themselves into more specific interest groups, which will help alleviate the overcrowding effect often observed in large online communities.”