PeerJ is indexed in all major Abstracting & Indexing databases. The journal is currently indexed by PubMed, PubMed Central, Scopus, Web of Science, Google Scholar, the DOAJ, the ACS databases, EMBASE, CAB Abstracts and Europe PMC. We also expect to be indexed in services such as MEDLINE.
PeerJ Computer Science is a new journal that started publishing in May 2015. Publications will be indexed in relevant databases such as the dblp, Google Scholar, CiteSeerX, Scopus, ACM Digital Library, Microsoft Academic Search, etc.
PeerJ Preprints is the non-peer-reviewed venue covering biology, medicine, and computer science. It is indexed in Google Scholar and each preprint has a unique DOI for citation purposes.
PeerJ's 2016 Impact Factor is 2.18 (see Journal Citation Reports).
Whilst we appreciate the importance still placed on the Impact Factor by many elements of the academic community, we do believe that individual research articles are best assessed on their own merits, rather than on an aggregate citation count for the journal in which the work is published. This is also why we periodically publish PeerJ's citation distribution.
However, we do understand that PeerJ’s inclusion in the Web of Science is very important for the many academics whose research output is still measured by metrics such as the impact factor. We hope that this information encourages more scientists to submit their work to PeerJ and benefit from our award winning publishing platform, with article-level metrics, fast publishing times and open access to all articles.
Just as we don’t believe in paywalls blocking access to content, nor do we believe in an author's work not getting the credit it individually deserves, which is why we include article level metrics on all of our article pages. Our article level metrics enable anyone to see the number of visitors, views and downloads an article has received, and also links to the referral source of visitors.
We believe that an individual article should be judged on its own merits, rather than by a metric such as the Impact Factor which aggregates citations across journal articles, therefore we have made it as easy as possible to immediately view the attention an article is getting. No big time lags, and no chasing for links to the coverage - it's all in one place.
To maximize discovery in the modern Internet era where most people are using general search engines it takes more than just indexing in the traditional academic databases.
To solve that, we've architected the PeerJ website and article pages ourselves with an eye towards implementing modern machine-readable microdata markup and navigation. In non-tech jargon that means major search engines can build rich snippets of information, such as author biographies, that then turn up in search results.