An Intelligent Bibliometric System for Medical Knowledge Discovery

Project Member(s): Zhang, Y., Lu, J.

Funding or Partner Organisation: 23 STRANDS PTY LTD
23 STRANDS PTY LTD

Start year: 2020

Summary: This project is to develop an intelligent bibliometric system for discovering knowledge from the PubMed database

Publications:

Wu, M, Zhang, Y, Grosser, M, Tipper, S, Venter, D, Lin, H & Lu, J 2021, 'Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics', Frontiers in Research Metrics and Analytics, vol. 6, p. 683212.
View/Download from: Publisher's site

FOR Codes: Informetrics, Decision Support and Group Support Systems, Information Processing Services (incl. Data Entry and Capture), Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.