MathSciNet® is an electronic publication offering access to a carefully maintained and easily searchable database of reviews, abstracts and bibliographic information for much of the mathematical sciences literature. Over 125,000 new items are added each year, most of them classified according to the Mathematics Subject Classification.  Authors are uniquely identified (by their MR Author ID), enabling a search for publications by individual author rather than by name string. Continuing in the tradition of the paper publication, Mathematical Reviews (MR), which was first published in 1940, expert reviewers are selected by a staff of professional mathematicians to write reviews of the current published literature; over 90,000 reviews are added to the database each year. Extending the MR tradition, MathSciNet® contains over 3.6 million items and over 2.3 million direct links to original articles. Bibliographic data from retrodigitized articles dates back to the early 1800s. Reference lists are collected and matched internally from approximately 650 journals, and citation data for journals, authors, articles and reviews is provided.  This web of citations allows users to track the history and influence of research publications in the mathematical sciences." From MathSciNet - About. Web March 10, 2020.

In addition to remote and digital access to indexed mathematics journals, MathSciNet provides other useful features for users.

Author and Institution IDs

Each author and publishing institution is given a unique identifier, making it easier to find articles by a given author. You can also search by the institution ID to find all publications by a specific institution.

Citation Information 

Not only does MathSciNet link authors and collaborators, it also keeps track of how often an author, article, or journal is cited by others. This data is especially useful when looking for high-impact journals in your subject area. This is usually referred to as the Mathematical Citation Quotient in this context. See an example from 2017's data below: