Bibliometric Analysis of HRB Supported Publications 2018-2022

Draux, Hélène; Wastl, Juergen

dc.contributor.author	Draux, Hélène
dc.contributor.author	Wastl, Juergen
dc.date.accessioned	2024-05-13T15:55:41Z
dc.date.available	2024-05-13T15:55:41Z
dc.date.issued	2024-02-26
dc.identifier.uri	http://hdl.handle.net/10147/641517
dc.description	The HRB (Health Research Board) Monitoring and Evaluation Framework 2021-2025 plays a crucial role in systematically collecting outputs, out- comes, and impact metrics for all HRB-funded research. This compre- hensive dataset allows the HRB to assess the level of scientific outputs and their translation into outcomes and impacts resulting from the funded research. Highly regarded research, often evidenced by being highly cited, plays a significant role in influencing subject reviews, systematic reviews, consensus statements, and evidence-based clinical guidelines, ultimately shaping clinical care models and health policies. Peer-reviewed journal publications form the universal currency of research, enabling colleagues to build upon existing work and facilitating knowledge expansion. However, solely counting the number of publications cannot adequately gauge the value peers place on specific research results, the extent to which these findings are adopted within the research community, com- parisons with other similar research groups, or trends in the development or decline of research fields. To examine these aspects of the publication landscape, bibliometric analysis employs quantitative, statistically-based methods to estimate the scientific quality and impact of research find- ings across various levels, such as fields, types of research, institutions, and countries, utilising multiple indicators.	en_US
dc.language.iso	en	en_US
dc.publisher	Digital Science	en_US
dc.rights	Attribution 4.0 International	*
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	*
dc.subject	HEALTH RESEARCH	en_US
dc.subject	BIBLIOMETRICS	en_US
dc.subject	INFORMATION SCIENCE	en_US
dc.title	Bibliometric Analysis of HRB Supported Publications 2018-2022	en_US
dc.type	Report	en_US
dc.contributor.department	Digital Science	en_US
refterms.dateFOA	2024-05-13T15:55:42Z