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Analysis of research output parameters: Density equalizing mapping and citation trend analysis

BACKGROUND: Burden of disease studies indicate major socio-economic burdens since many years. They should be used for the allocation of funding. However, imbalances are present in funding policies and therefore benchmarking becomes increasingly important in health services research. METHODS: The pre...

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Autores principales: Groneberg-Kloft, Beatrix, Scutaru, Cristian, Fischer, Axel, Welte, Tobias, Kreiter, Carolin, Quarcoo, David
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672943/
https://www.ncbi.nlm.nih.gov/pubmed/19171075
http://dx.doi.org/10.1186/1472-6963-9-16
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author Groneberg-Kloft, Beatrix
Scutaru, Cristian
Fischer, Axel
Welte, Tobias
Kreiter, Carolin
Quarcoo, David
author_facet Groneberg-Kloft, Beatrix
Scutaru, Cristian
Fischer, Axel
Welte, Tobias
Kreiter, Carolin
Quarcoo, David
author_sort Groneberg-Kloft, Beatrix
collection PubMed
description BACKGROUND: Burden of disease studies indicate major socio-economic burdens since many years. They should be used for the allocation of funding. However, imbalances are present in funding policies and therefore benchmarking becomes increasingly important in health services research. METHODS: The present study assessed benchmarking approaches. Using large data base analyses, research was analyzed for different health research output parameters. The fields of cardiovascular and respiratory medicine served as models to assess irregular patterns of health research. For visualization, density equalizing mapping procedures were used. RESULTS: Specific areas of major research activity were identified for European countries and large differences were found. Spatial distribution of published items for cardiac and cardiovascular systems differed in comparison to the distribution for the respiratory system. In general, large countries dominated the overall number of published items. When qualitative measures such as citation analysis were assessed, differing results were achieved. In this category, mostly Scandinavian countries dominated. CONCLUSION: The present approach of comparative output benchmarking can be used to assess institutional operating figures at the national and international level and to analyze imbalances in health and research funding.
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spelling pubmed-26729432009-04-24 Analysis of research output parameters: Density equalizing mapping and citation trend analysis Groneberg-Kloft, Beatrix Scutaru, Cristian Fischer, Axel Welte, Tobias Kreiter, Carolin Quarcoo, David BMC Health Serv Res Correspondence BACKGROUND: Burden of disease studies indicate major socio-economic burdens since many years. They should be used for the allocation of funding. However, imbalances are present in funding policies and therefore benchmarking becomes increasingly important in health services research. METHODS: The present study assessed benchmarking approaches. Using large data base analyses, research was analyzed for different health research output parameters. The fields of cardiovascular and respiratory medicine served as models to assess irregular patterns of health research. For visualization, density equalizing mapping procedures were used. RESULTS: Specific areas of major research activity were identified for European countries and large differences were found. Spatial distribution of published items for cardiac and cardiovascular systems differed in comparison to the distribution for the respiratory system. In general, large countries dominated the overall number of published items. When qualitative measures such as citation analysis were assessed, differing results were achieved. In this category, mostly Scandinavian countries dominated. CONCLUSION: The present approach of comparative output benchmarking can be used to assess institutional operating figures at the national and international level and to analyze imbalances in health and research funding. BioMed Central 2009-01-27 /pmc/articles/PMC2672943/ /pubmed/19171075 http://dx.doi.org/10.1186/1472-6963-9-16 Text en Copyright © 2009 Groneberg-Kloft et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Correspondence
Groneberg-Kloft, Beatrix
Scutaru, Cristian
Fischer, Axel
Welte, Tobias
Kreiter, Carolin
Quarcoo, David
Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title_full Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title_fullStr Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title_full_unstemmed Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title_short Analysis of research output parameters: Density equalizing mapping and citation trend analysis
title_sort analysis of research output parameters: density equalizing mapping and citation trend analysis
topic Correspondence
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2672943/
https://www.ncbi.nlm.nih.gov/pubmed/19171075
http://dx.doi.org/10.1186/1472-6963-9-16
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