Making MathSciNet Work Harder for You!

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Abstract/Contents

Abstract
MathSciNet is a core index of the mathematical sciences literature, indexing books, journals and conference proceedings published since 1940. An interesting feature of this index that is not well known is that assignment of standard Institution and Mathematics Subject Classification Codes combined with the powerful searching capabilities of MathSciNet make possible the compilation of detailed demographic data about mathematical publishing. These codes can be used to compare the output between specific academic departments, institutions, or even countries over a period of time. Using Institution Codes associated with each author affiliated with a particular department at an institution, one can obtain a list of publications satisfying variables of interest. If the search is done in conjunction with a specific Mathematics Subject Classification Code assigned to each item reviewed, one can further narrow the result to determine the output within a specific area of study.

Description

Type of resource text
Date created 2006-11

Creators/Contributors

Author Yamamoto, Linda Y

Subjects

Subject MathSciNet
Subject demographic data
Subject classification code
Subject research output
Subject index
Genre Article

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Use and reproduction
User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
License
This work is licensed under a Creative Commons Attribution Non Commercial Share Alike 3.0 Unported license (CC BY-NC-SA).

Preferred citation

Preferred Citation
Yamamoto, Linda Y. (2013). Making MathSciNet Work Harder for You!. Stanford Digital Repository. Available at: http://purl.stanford.edu/xt451xj0687

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Stanford Libraries staff presentations, publications, and research

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