For essential information for our reviewers, please see detailed information about the Mathematical Reviews Database.
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 100,000 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 80,000 reviews are added to the database each year. Extending the MR tradition, MathSciNet® contains over 2.8 million items and over 1.6 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 500 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.
October 1, 2012
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Preliminary Data
MathSciNet now includes Preliminary Data items, which are created from bibliographic data received directly from publishers. This data allows users to view early information about new papers in mathematics while full processing, including author identification and editorial decisions, is ongoing.
Preliminary Data items are marked as such until processing is complete. The initial group of publishers who have agreed to provide preliminary data feeds includes the American Mathematical Society, the Canadian Mathematical Society, the European Mathematical Society, the Mathematical Association of America, SIAM, Elsevier, and Springer. Publishers interested in participating in the Preliminary Data program are invited to contact: mr-librarian@ams.org.
In addition, new MathSciNet item tags allow users to instantly assess at what stage an item is in the review process. The seven tags are: Preliminary Data, Pending, Reviewed, Expansion, DML, Indexed, and Thesis. For more information and detailed descriptions of each item tag, please visit: www.ams.org/mathscinet/help/fullitem_help_full.html.
May 21, 2012
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Mobile Pairing
Mobile Pairing allows authorized users to 'pair' their mobile devices--tablets, laptops, smartphones--with their host institution's subscription to MathSciNet, as well as to the institutional subscriptions to AMS, and AMS-distributed, journals and eBooks. Once 'paired', the user will have access to those subscriptions without having to be connected to the host institution's network. The pairing will last for 90 days. It can be renewed for another 90 days at any time. More information about Mobile Pairing is available at www.ams.org.publications/mobilepairing.
December 5, 2011
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Reference Lists from AMS Journals prior to 1997
The number of Reference List Journals has grown from 33 in 2001 to 485 today. Currently, reference lists from new Reference List Journals are added to the Mathematical Reviews Database back to 2000 at the earliest. A few journals from the earliest days of the project have reference lists back to 1997. The reference lists derived from the retrodigitization of the complete run of AMS journals have now been added. As a result, the oldest reference lists in MathSciNet are now associated with issues from the year 1900. See, for example, MR1501215. It is hoped that more publishers of Reference List Journals will contribute their reference list data from retrodigitization projects, thus enhancing the richness of this resource in MathSciNet.
September 27, 2011
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MathSciNet® Tutorials
In response to requests from MathSciNet users and librarians, MathSciNet now offers tutorials on how to get the most out of searching. These tutorials treat each of the tabbed areas of MathSciNet---Publications, Authors, Journals, and Citations---as well as Free Tools and Preferences. Users are helped to take advantage of the rich structure of the databases underlying MathSciNet. Every user is likely to find a feature or search that they have not previously used.
October 12, 2010
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MathSciNet® with MathJax: Displayed Mathematics
MathJax is an open source JavaScript display engine for mathematics that works in modern browsers (Firefox 3.5+, IE 6+, Safari 3.1+, Opera 10+, Chrome 1+). If you are using one of these browsers MathSciNet® will display typeset mathematics directly in Web pages. More information about MathJax is available at MathJax.org. The American Mathematical Society is a sponsor of this project.
For examples of mathematics displayed in MathSciNet® with MathJax, see reviews MR2463362, MR2450171, and MR2188864.
Although MathJax successfully reflects TeX typesetting in most reviews, there are certain places where MathJax cannot reproduce TeX output. In these cases we leave the untranslated TeX source code. The PDF option may still be used in these cases to view the TeX output. MR2428115 is an example of this.
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Mathematics, Applied Mathematics and Statistics Ph.D. theses from ProQuest
MathSciNet® now contains bibliographic data and direct links for Ph.D. theses published in Mathematics, Applied Mathematics and Statistics from the ProQuest Dissertations & Theses database, the most comprehensive collection of dissertations and theses in the world. MR2713010 is an example of this type of entry in MathSciNet®. The Thesis link beneath the bibliographic data leads to the entry in the ProQuest database. New theses from Proquest are added monthly to MathSciNet®.
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Direct links to Series, Books and Book Chapters
Using DOIs registered by publishers, MathSciNet® now contains direct links to Books and Proceedings. This supplements the Article links that currently number well over a million in MathSciNet®. Where appropriate, the Journal link below the bibliographic data has been replaced by a Series link. The Article link has been replaced by a Book or Chapter link.
Examples include:
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Reference List Journals labeled
Currently there are approximately 450 Reference List Journals, journals for which original reference lists are included in MathSciNet®. A Reference List Journal is now labeled as such on its Journal Information page, e.g., see Duke Math. J.
For the history of MathSciNet® versions please see the What's New Archive.
Searching in MathSciNet®
The home page has tabs for searching the five main areas of the database. These tabs are as follows.Publications searches the review database and returns bibliographic data, reviews and (when available) linked reference lists for article and book listings.
Authors searches the author database and returns authors identified uniquely according to their publications as well as a listing of name variations.
To help identify an individual, there is now a sample publication visible by sliding the cursor over an icon. This publication is either a frequently cited or a recently published item.
Once an author is selected, one may view the author/related publications, do a publications search with the author automatically entered in the author search field, find coauthors or collaboration distances and make a link to all of an author's MathSciNet® listings.
Journals searches the MR journal database and returns a journal or list of journals with links to bibliographic information, publisher websites, and issues listed in MathSciNet®.
Author Citations returns up to 10 items ordered by the number of matched references in MathSciNet® reference lists.
Journal Citations returns information about citations to the journal of interest based on matched reference lists from MathSciNet®.
The four tabs on the Free Tools page are the following:
Search MSC offers a search of the Mathematics Subject Classification scheme.Collaboration Distance finds a shortest publications-path between two authors.
Current Journals lists those journals indexed in MathSciNet® within the past six weeks.
Current Publications offers a search for books and articles reviewed or indexed within the past six months.
The current version of MathSciNet® is best when viewed with modern browsers. It should function as designed in Internet Explorer 5.5 and above, Firefox, Safari/312 and above, and Opera 8 and above. The core functionality is available in older browsers.
Site information
Mirror sites in Rio de Janeiro, Brazil; Strasbourg, France; Bonn, Germany; Bielefeld, Germany; and a second U.S. site in Houston, Texas, enable alternative access. Expanded access to MathSciNet® via these mirror sites allows users to choose the site that offers them the best performance.Current coverage
A list of the serials and journals from which bibliographic data is currently being added to the database is available as a PDF file or in CSV file for Excel. See the MR Editorial Statement for a fuller description of the scope of the database.Copyright information
All abstracts (summaries) included in the Mathematical Reviews Database are, to the best knowledge of the American Mathematical Society, the work of the respective authors of the abstracted articles (or of substitutes accepted by the authors). As such, they are copyrighted in the same manner as the articles themselves and we refer the users of each of the publication formats (e.g. Mathematical Reviews and MathSciNet®) of the Mathematical Reviews Database to the journals in which those articles appear for further information concerning copyright ownership.Tools for creating reference links to MathSciNet®
MRef and MRlookup are tools for verifying and creating standard references with links to MathSciNet®. For information on creating direct links to individual MathSciNet® records, see MathSciNet® Getitem. In a similar manner, authors can create links to the full collection of their listings using the Make Links tool.For reviewers
The Guide for Reviewers gives guidelines on content and style of reviews as well as instructions for submitting reviews. Reviews may easily be submitted via the Review Submissions webpage.Learn more about MathSciNet® from the MathSciNet® Help files and from the MR Database page.
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