Today, we are pleased to announce that ScienceOpen hit the 20 million article record! In fact, it’s still climbing even as this is being written. This is thanks to what we call our ‘aggregation’ engine, which takes published research articles from any field, and applies a little bit of magic to them to open up their context and let us all do amazing things, such as find similar articles, post-publication peer review them, and trace their citation genealogies.
I asked Alexander Grossmann, professor of publishing and co-founder of ScienceOpen, what this milestone means to him and to open science more broadly.
FASE is one of the leading Open Access journals in the fields of Agricultural Engineering, Resources and Biotechnology, Animal Husbandry and Veterinary Medicine, Applied Ecology, Crop Science, Forestry Engineering and Fisheries, Horticulture, and Plant Protection.
By adding their content to ScienceOpen, they gain increased visibility through our platform and promotional services (like this article!), which increases its value amidst a heterogeneous global publishing market.
This cooperation between HEP and ScienceOpen helps to recognise the great work that Chinese publishers are doing to spearhead Open Access publishing, and our dual commitment to enhancing the visibility and impact of scholarly research in Engineering Science fields.
CEO of ScienceOpen Stephanie Dawson said “Open Access is a growing force in China, and we are happy to work with one of the leading publishers, Higher Education Press, to help increase the visibility of Chinese Open Access globally. We are pleased to use Frontiers of Agricultural Science and Engineering to launch this new partnership, as it publishes excellent research in a field addressing pressing issues such as food security in a changing world.”
The advantage of this for HEP is that they gain lots of additional traffic to their content. What publisher doesn’t want that? This means more downloads, and more re-use of the research they publish, which in turn increases the quality and prestige associated with the journal brand. You can track the attention of the Collection easily via reader count aggregates, and altmetric aggregates, as seen here, as well as other measures of re-use.
Researchers can now openly peer review and re-use their content too, which adds substantial value to both the research process and the journal brand again, which are both important in a scholarly publishing system that is becoming progressively more open. We’ll report the progress in these statistics again in a month so you can see the additional attention indexing with us generates!
The Collection contains some absolutely awesome papers too! Check these examples out:
Search engines form the core of discovery of research these days. There’s just too much information out there to search journal by journal or on a manual basis.
We highlighted in a previous post the advantages of using ScienceOpen’s dual-layered search and filter functions over others like Google Scholar. Today, we’re happy to announce that we just made it even better!
Say you want to search all of PeerJ’s content. Pop ‘PeerJ’ into the journal search, and it’ll come up with all their content, as it’s all indexed in PubMed. Hey presto, there you have 1530 papers, all with full texts attached. Neat eh! And that will update as more gets published with PeerJ, so you know what to do.
But that’s a lot of content. What you’ve just discovered is the PeerJ megajournal haystack. We want to filter out the needles.
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’?