Tracking Publication Data

Scholarly databases

You can use the following scholarly databases to track your publication data.

Manifold

Manifold is a web-accessible interface that generates profiles and reports of research impact and scholarly output for faculty and departments in the University of Minnesota Medical School. It also generates metrics, data, and profiles for faculty.

Like other systems on campus, including Experts@ Minnesota, Manifold provides aggregated lists of publication data for faculty.

Unlike other systems, however, Manifold focuses particularly on measures of research impact and scholarly output and the contextualization of these measures.

For more information about or assistance with your profile, e-mail manifold@umn.edu.

To access Manifold, you need to login in with your University of Minnesota login ID and password.

Go to the Manifold website

Experts@ Minnesota

Experts@ Minnesota helps you find networks and interest areas within the department and the University of Minnesota.

It's a database that profiles university faculty and staff based upon their affiliations and their publications. Public data on faculty (names, contact information, department and college affiliations, and grant award information) forms the basis for these profiles. The data is matched with publication data harvested from Scopus, an extensive abstract and citation database.

Experts@ Minnesota allows you to search for a researcher's distinctive expertise based on publication history and potentially identify collaborators.

For more information or assistance with your profile, please contact expertsmnhelp@umn.edu.

Go to the Experts@ Minnesota website

Scopus

Scopus is the largest abstract and citation database of peer-reviewed literature. It can track, analyze, and visualize research. Learn how to search in Scopus

You will need to log in using your University of Minnesota login ID and password.

Access Scopus through the University of Minnesota

Other scholarly databases on the web

Some of the following sites require membership or access through the University of Minnesota Bio-Medical Library website, in which you will need to log in using your University of Minnesota login ID and password.

Capturing "grey literature"

"Grey literature" refers to reviewed and indexed literature that do not appear in scholarly databases.

Examples include, but not limited to, the following:

  • Conference posters and slides
  • Instructional materials
  • Organizational white papers
  • Pamphlets

How to track or share "grey literature"

The following sites allow you to store, track, and/or share your "grey literature."