FindIt , like most databases, defaults to sorting results by something called “relevance.” Each database has its own proprietary formula, but generally, FindIt favors results that meet criteria such as: recent publication date; higher total number of matches to your search terms; matches to your search terms in the author, title, and subject fields; and, for articles, peer-reviewed or highly-cited articles.
FindIt allows you to filter your results to view a subset with specific features.
Available only when searching Articles, Books, and More
This option---available via the toggle at the top of your search results, not in the "refine my results" menu---allows you to personalize the order of article results by discipline. It's especially helpful if your topic is difficult to capture in search keywords. Look for "personalize" at the top left of your search results. If you are signed in, FindIt will remember your choices.
Note: you may still see books in your results, but they will not be personalized.
Limits to articles from journals designated as "peer reviewed" in Ulrichsweb: Global Serials Directory.
Limits to records that identify themselves as book reviews.
Limits to records that identify themselves as entries in handbooks, encyclopedias, etc.
Filters are drawn verbatim from the individual records in your search results, and they are only as good as the data they come from. Due to variations in FindIt records, you may see multiple versions of the same subject or author name, and you may encounter filters that look good but are very inconsistently applied. Selecting an inconsistently applied filter, or only one of the variations on a subject or author, will exclude all of the records that may be relevant but do not contain that exact entry for subject, author, etc.
It’s a good idea to select all variants of a relevant term. Often, the best strategy is to reformulate your search, using the language you see in the filter menus.
Near-identical filter options are particularly prevalent in "Everything," which bundles together records from many different sources, all of which may follow different conventions for, e.g., Shakespeare's name.
Pro tip: you can see where the data comes from under "Record Source," at the bottom of the filter list.