Hello. Recently I got a question and I thought the answer could interest others as well. This was the issue in brief: "Dear Fredrik, In PsycInfo, there is a key article by Borsboom called "The Concept of Validity". I would like to be able to sort the publications that cite the Borsboom article based on their impact factor. Or if this doesn't work, apply some filters to the list, and see specific journals. Thanks in advance." In other words. If you have found a publication that appears to play a central role in a context, it may be interesting to see what other works have referred to it. This is called following citations, or forward citation searching. It's a smart thing to do when you're looking for material on a subject. But to return to the issue of impact factor. Impact factor is a measure of how often a journal is cited. The more citations a journal gets, the more influential it is considered to be. It has to with prestige and is not something you should worry yourself about too much, but as in this case, it can be a way to filter down a longer list of articles. PsycInfo can't help us with just this instead I thought we could use Scopus. Let's find the article at hand. A tip is to put quotation marks around the search terms if it is a specific title you are looking for. Click on the title. In the right margin there is a box called “Cited by…”. Click on "View all documents". A list with the documents appears. At the top we click on "Analyze search results". Under the "Source" tab there are a few things we can play around with. Among other things, a link above the chart where you can compare different citation scores of the journals. Click on it. Impact factor is used in other databases, but the equivalent measures here are SJR and SNIP. Hover the cursor over the tabs in the diagram to see what the abbreviations mean. You can also click on the question mark to get a brief description of how the metrics are developed. This way, you can find articles published in journals that are cited often.

Pretty cool. Thanks for watching.