Database Committee: Top 20 and Top 100 Other Publication Use

• Total_Item_Investigations - Total number of times a “Content Item” or information related to a “Content Item” was accessed. Double-click filters are applied to these transactions. A “Content Item” could be an “Article”, “Book Chapter”, “Multimedia” files.

• Unique_Item_Investigations - Number of unique “Content Items” investigated in a user-session. Examples of items are “Article”, “Book Chapter”, “Multimedia” files.

• Total_Item_Requests - Total number of times a “Content Item” was requested (i.e. the full text or content was downloaded or viewed). For journals, this content item is usually an article. The article could be in PDF, HTML, or another format. If a user downloads the article more than once in a single session, all downloads are counted. If a user clicks on the HTML of an article and then downloads the same article's PDF, the count would be two.

• Unique_Item_Requests - Number of unique “Content Items” requested in a user-session. Examples of content items are “Article”, “Book Chapter”, “Multimedia” files. Unique Item Requests will always be less than or equal to Total Item Requests. Only the first click to download the article is counted in a single session. If different formats are accessed (for example, an HTML and then a PDF), the count is still only one.

Stats are from 09/01/2021 - 05/31/2022

The data here is found in the Title Master Reports.

The default view of the Top 100 graph above contains all four of the metrics defined below for each title, with the total displayed at the end of each title's bar.

For a count that only includes downloads of other publication articles, we recommend using the "Measure Names" filter to the right to limit the view to "Total Item Requests" or to "Unique Item Requests" only.

Since a specific article may be downloaded more than once by a single user of by various users, the "Total" number of requests will be equal to or higher than the "Unique" request count, which only counts a specific article once and not each time it is downloaded.

The counts may be lower than 20 or 100 because of duplicate listings that have been combined. For example, if one platform includes an ISSN for a title and another does not, the title will appear in more than one place and the stats must be combined. This can also happen if platforms categorize a title differently. For example, one might tag a title as "Newspaper_or_Newsletter" and another as "Other" and this will lead to the same publication appearing in more than one spot. These stats have been combined wherever possible.