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Tag: Scholarly Communication

In:  Peer Review  

What are the barriers to post-publication peer review?

At ScienceOpen, we have over 28 million article records all available for public, post-publication peer review (PPPR), 3 million of which are full-text Open Access. This functionality is a response to increasing calls for continuous moderation of the published research literature, a consistent questioning of the functionality of the traditional peer review model (some examples in this post), and an increasing recognition that scientific discourse does not stop at the point of publication for any research article.

Post-publication peer review at ScienceOpen in action!

In spite of this increasing demand, the uptake of PPPR across different platforms seems to be relatively low overall. So what are some of the main reasons why researchers might feel less motivated to do PPPR, and is there anything we can do to increase its usage and adoption as part of a more open research culture?

What even is ‘post-publication’ peer review?

There is a general mentality among researchers that once research has been published, it has already ‘passed’ peer review, so why should it need to be peer reviewed again?

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In:  About SO  

Enhanced article context at ScienceOpen

As part of our ongoing development of ScienceOpen 2.017, we have designed an exciting and most importantly, pretty, new context-enhanced webpage for each of our 27 million article records. Such enriched article metadata is becoming increasingly important in defining the context of research in the evolution of scholarly communication, in which we are moving away from journal- to article-level evaluation.

Statistically significant upgrades

All of the statistics have been moved to the top of the page, including the number of page views or readers, the Altmetric score, the number of recommendations, and the number of social media shares.

Source

Newly featured statistics include the top references cited within, the top articles citing that paper, and the number of similar articles based on keywords and topics. These new features are great for authors as content creators, researchers as users, as well as publishers for understanding the popularity and context of research they publish.

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