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Boost your open citations with our new article request feature

Missing an article or citation from ScienceOpen, or want to add more of your own publications? Users can now request articles to be integrated into our database via their dashboard. These can be your own articles, or someone else’s – the choice is yours!

All we need are either a list of:

  • CrossRef DOIs
  • DOAJ IDs
  • PubMed IDs

Simply upload a file or copy and paste them in, click the button and away you go! We’ll send you a notification by email to let you know the status of each article. We’ll work our magic behind the scenes and integrate your selection as soon as is computationally possible.

Find this feature on your user dashboard.

Boost your citations

One of the great things about this new feature is that you can add a list of DOIs of articles that cite your own work. We provide a free and open citation network for each of our users, based on extracting citation data from peer reviewed publications. Thanks to initiatives like I4OC, it is becoming easier to provide enriched citation information like we do for researchers for free.

To find your Dashboard, click on the My ScienceOpen tab at the top!

By adding research that cites your work, we provide an easy and great way to make sure that your citation profile is complete! This isn’t gaming the system, it’s simply making it comprehensive and open. That’s important. Put this in the context of our recently launched author-metrics, and you’re on to a winning academic profile!

For collection editors

If you have a collection at ScienceOpen, you can specify that these records be automatically integrated into them. You can add these in bulk, with 100 DOIs per request for now. Personalising your collections and making them complete has never been easier! If you want to set up your own collection and try out these features, contact us here!

Integration and validation

By using the new ‘claim authorship’ feature, your articles will be directly integrated with your ScienceOpen profile and ORCID. This provides crucial cross-validation of your research history, a unique feature of ScienceOpen. If you’re adding you own article records, these will be available in your ‘Claim your articles’ section of the Dashboard, where you can easily add them to your profile.

Collecting and Connecting with ORCID!

We recognise that no research database is complete, and ScienceOpen is no exception. We work closely with publishers, ORCID, and platforms like PubMed to integrate new content on a daily basis. But we can’t pick up everything, and that’s where you come in!

By adding personalised content, you help us to fill in the blank spots in our database. This helps to enrich our network by putting this content into our semantically linked network.  We are currently only indexing research articles and not book chapters, proceedings or other content types.

So pop over to your dashboard, try it out, and let us know what you think!

Moving beyond a journal-based filtering system

The amount of published scientific research is simply enormous. Current estimates are over 70 million individual research articles, with around 2 million more being published every year. We are in the midst of an information revolution, with the World Wide Web offering rapid, structured and practical distribution of knowledge. But for researchers, this creates the monolith task of manually finding relevant content to fuel their work, and begs the question, are we doing the best we can to leverage this knowledge?

There are already several well-established searchable archives, scientific databases representing warehouses for all of our knowledge and data. The most well-known include the Web of Science, Scopus, PubMed, and Google Scholar, which together are the de facto mode for current methods of information retrieval. The first two of these are paid services, and attempts to replicate searches between all platforms produce inconsistent results (e.g., Bakkalbasi et al., Kulkarni et al.), raising questions about each of their methods of procurement. The search algorithms for each are also fairly opaque, and the relative reliability of each is quite uncertain. Each of them, though, have their own benefits and pitfalls, which are far better discussed elsewhere (e.g. Falagas et al.).

So where does this leave discoverability for researchers in a world that is becoming more and more ‘open’?

Continue reading “Moving beyond a journal-based filtering system”