Making an impact in a research discovery ecosystem
We designed these new features for you to make an increased impact, and keep track as your research progresses. All of this is provided to you within the context of a discovery environment of more than 31 million article records. It just makes sense to have these profile and article enhancement features integrated into an ecosystem where people are actually discovering and re-using research. And for free, of course.
Recently, our colleagues at OpenAIRE have published a systematic review of ‘Open Peer Review’ (OPR). As part of this, they defined seven consistent traits of OPR, which we thought sounded like a remarkably good opportunity to help clarify how peer review works at ScienceOpen.
At ScienceOpen, we have over 31 million article records all available for public, post-publication peer review (PPPR), more than 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 ‘event’ point of publication for any research article.
At ScienceOpen, we invite the whole scientific community to contribute to the review process, should they wish to. The only requirement is that the person has to be registered at ORCID and have at least five publications assigned to their ORCID account to write a review (Scientific Members and Experts). If you do not satisfy these requirements and wish to perform a peer review at ScienceOpen, please contact us and we will make an exception for you.
Users with at least one publication assigned to their ORCID account are able to comment on a paper (Members). Please refer to our User categories for further details.
We recognise that some times it’s not clear exactly what you’re supposed to do when joining a new research platform. What are the important features, what’s everybody else doing, how do I make my profile as strong as possible? Well, hopefully this will make it easier for you. If you’re still wondering ‘What’s that ScienceOpen thing all about?’, hopefully this will add a bit of clarity too!
Here are the main things you need to know about ScienceOpen:
Get an ORCID account
More than 3 million researchers already have an ORCID account, which acts as both a unique identifier and an integrated profile for them. Registration for it takes 30 seconds, and is now a core part of scholarly infrastructure, with many journals requiring an ORCID profile prior to article submission. Make sure it’s well-populated with all of your published papers, (drawn automatically from Web of Science, Scopus, or CrossRef). Easy!
The Pitt and Hill (2016) article was read and downloaded almost 100 times a day since its publication on ScienceOpen. More importantly, it now has 7 independent post-publication peer reviews and 5 comments. Although this is a single paper in ScienceOpen’s vast index of 28 million research articles (all open to post-publication peer review!), the story of how this article got so much attention is worth re-telling.
Publishing can be a big, expensive business, or it can be done on a small scale by research communities themselves – by researchers for researchers. For very narrow topics and small research communities it can make sense to just do it yourself and there are wide range of journals that offer a formal peer review process, editorial oversight, publishing services and a Creative Commons open access license to authors but still charge no APCs.
To support these great efforts, ScienceOpen offers free indexing for up to 10 APC-free OA journals per month, and the best candidate receives a free journal collection page for 1 year. We are pleased to announce a partnership with the Directory of Open Access Journals (DOAJ) in making these valuable contributions to the scholarly record more visible.
In order to qualify for our free indexing offer your journal must meet the following requirements, all of which contribute to enhancing the visibility and discoverability of your content.
Be indexed in DOAJ and without publication charges
The Directory of Open Access Journals lists over 9000 open access scholarly journals meeting certain quality standards. Listing in DOAJ is a requirement for the ScienceOpen free indexing program to assure good quality articles from an editorial standpoint. Furthermore, having DOAJ IDs also ease the indexing procedure significantly. With your articles registered in DOAJ, the only thing you have to do is to check there are no APC or other publication charges and to send ScienceOpen a list of the DOAJ ID-s for each article record and your content will be indexed in no time.
One of our favourite upgrades is how each of more than 24,000 journals are featured and displayed. Now it is possible for anyone to see what journals exist on our platform and how many articles are tracked for each one of them. That’s the first step. Try searching for your favourite journal, or even a journal you work for, and seeing what we have for it.
Kick off the new year with the new unified search on ScienceOpen! We have accomplished a lot over the last year and are looking forward to supporting the academic community in 2017.
In 2016 ScienceOpen brought you more context: Now your search comes with a new analytics bar that breaks down your search results by collections, journals, publishers, disciplines, and keywords for quicker filtering. Try a search for the pressing topics of 2016 like Zika or CRISPR and take the new features for a spin.
Researcher output, journal content, reference lists, citing articles can all be dynamically sorted and explored via Altmetric score, citations, date, activity. Statistics for journals, publishers and authors give overview of the content that we are indexing on ScienceOpen. Check out the most relevant journals on ScienceOpen, for example BMC Infectious Diseases or PloS Genetics for a new perspective. Or add your publications to your ORCID and get a dynamic view of your own output.
With the launch of our new unified search interface, we restructured the Author Profile page on ScienceOpen, providing dynamic ways to explore an author’s output.
For a very prolific author like Ray Dolan, Director of the Wellcome Trust Centre for Neuroimaging at UCL and author of 674 articles, it can be hard work for a reader to even just scroll through the titles of his total output. The new ScienceOpen author profile, however, provides the researcher a variety of avenues to delve into this content on their own terms. They can sort publications by Altmetric score, citations, usage, date or reviews – to find the view that fits their needs.
The left side-bar overview shows top collections, journals, publishers, keywords and disciplines. Users can also search within the publication list with a free-text search or add up to 14 filters to find exactly the content that is relevant to them.
At ScienceOpen, we’ve just upgraded our search and discovery platform to be faster, smarter, and more efficient. A new user interface and filtering capabilities provide a better discovery experience for users. ScienceOpen searches more than 27 million full text open access or article metadata records and puts them in context. We include peer-reviewed academic articles from all fields, including pre-prints that we draw from the arXiv and which are explicitly tagged as such.
The current scale of academic publishing around the world is enormous. According to a recent STM report, we currently publish around 2.5 million new peer reviewed articles every single year, and that’s just in English language journals.
The problem with this for researchers and more broadly is how to stay up to date with newly published research. And not just in our own fields, but in related fields too. Researchers are permanently inundated, and we need to find a way to sift the wheat from the chaff.
The solution is smart and enhanced search and discovery. Platforms like ResearchGate and Google Scholar (GS) have just a single layer of discovery, with additional functions such as sorting by date to help narrow things down a bit. GS is the de facto mode of discovery of primary research for most academics, but it also contains a whole slew of ‘grey literature’ (i.e., non-peer reviewed outputs), which often interferes with finding the best research.
As well as this, if you do a simple search with GS, say just for dinosaurs, you get 161,000 returned results. How on Earth are you supposed to find the most useful and most relevant research based on this if you want to move beyond Google’s page rank, especially if you’re entering this from outside the area of specialisation? Simply narrowing down by dates does very little to prevent being overwhelmed with an absolute deluge of maybe maybe-not relevant literature. We need to do better at research discovery.