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Analyzing scholarly literature using bibliometrics

Analyzing scholarly literature using bibliometrics Online

This workshop will provide an introduction to bibliometric methods. Bibliometrics, or the use of tools and statistical methods to analyze published books and articles, can be a useful approach to understanding a body of knowledge and the way researchers are collaborating or publishing work on a topic. We will cover the basics of gathering a dataset for bibliometric analysis using tools like Web of Science and Scopus; provide an overview of software tools for analyzing bibliographic data; and discuss examples of bibliometric analyses across a range of disciplines. The workshop is aimed at graduate students, staff and faculty researchers, but anyone is welcome to join.

This is Part 3 of the Advanced and systematized literature review methods Workshop Series. You do not need to have attended previous workshops in this series.

Learning Objectives:

  • Define bibliometrics
  • Describe the value of bibliometrics analysis in the context of your research
  • Use databases and other tools to gather a dataset for analysis that includes bibliographic metadata and citation data
  • Describe various tools that are used in bibliometrics analysis

Date:
Monday, November 18, 2024
Time:
12:00pm - 1:00pm
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Audience:
  Faculty     Staff     Students  
Categories:
  Evidence Synthesis  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.

Registration is required. There are 290 seats available.

Virtual Workshop Information:

  • The link to join this event will be found in your confirmation email and in the reminder email sent 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information. All participants are required to follow the Code of Conduct.

If you require accessibility accommodations, please contact the event organizer.

Organizer(s)

Profile photo of Haoyong Lan
Haoyong Lan

About & Contact Info

Engineering Librarian

Profile photo of Sarah Young
Sarah Young

About & Contact Info

Social Sciences Librarian and Director of the Evidence Synthesis Program