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Cutting-Edge Research Impact Analysis: A Roundtable on Bibliometrics

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Cutting-Edge Research Impact Analysis: A Roundtable on Bibliometrics

REGISTER: https://www.nihlibrary.nih.gov/training/bibliometrics-rt  
July 17, 1:00‒3:00 p.m. EST, online

Bibliometrics, sometimes called research impact, is the quantitative method of citation and content analysis for scholarly journals, books, and researchers. Many new and innovative techniques for bibliometric analysis have emerged in recent years, such as using generative artificial intelligence (AI) tools for content analysis and visualization, using Altmetric mentions data (citations from non-peer reviewed sources), and more. Join us for a Roundtable Discussion on using bibliometrics for cutting-edge research impact analysis. The program will begin with brief presentations by our panelists, followed by an open discussion.

Joelle Mornini, NIH Library
Gergana Kostova, Ph.D., NIH Library
Open-Source Tools for Bibliometrics and Altmetrics

Christopher Belter, NICHD
Diverging Societal Impact Pathways: Citations in Patents, Policies, and Guidelines

Michelle Tacconelli, NCI
Research Impact Assessment of Cancer Imaging Datasets Published on The Cancer Imaging Archive (TCIA)

Erin Walker, NINDS
Desmond A. Brown, MD, Ph.D., NINDS
The Rising Interest of Primary Cilia in Central Nervous System Malignancies: A Bibliometric and Altmetric Analysis Revealing the Growth of a Field

Nathan Moore, Ph.D., NIGMS
Using AI in Grants Administration

Gabriela Piatkowski, M.S., NICHD
Utilizing AI for NIH Program Analysis in RePORTER

Steve Tsang, Ph.D., OD/ODSS
Snipta Mallick, OD/ODSS
GenAI-assisted Common Data Elements (CDE) Landscape Analysis


Bibliometric Classes
The NIH Library regularly offers bibliometric classes to help NIH staff explore research impact assessment techniques, data sources, and tools. Click the links below to explore upcoming classes and to register:

For more information, contact Joelle Mornini, [email protected].

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