Sean S Scholz1, Markus Dillmann2, Alexander Flohr2, Christina Backes2, Tobias Fehlmann2, Dominic Millenaar3, Christian Ukena3, Michael Böhm3, Andreas Keller2,4, Felix Mahfoud3,5. 1. Klinik für Innere Medizin III, Kardiologie, Angiologie und Internistische Intensivmedizin, Saarland University Hospital, Kirrberger Str. 1, Geb. 41, IMED, 66421, Homburg/Saar, Germany. sean.scholz@uks.eu. 2. Zentrum für Bioinformatik Saar, Abteilung für klinische Bioinformatik, Universität des Saarlandes, Saarbrücken, Germany. 3. Klinik für Innere Medizin III, Kardiologie, Angiologie und Internistische Intensivmedizin, Saarland University Hospital, Kirrberger Str. 1, Geb. 41, IMED, 66421, Homburg/Saar, Germany. 4. Department of Neurology, Stanford University California, California, CA, USA. 5. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Abstract
AIMS: We aimed at developing a structured study protocol utilizing the bibliographic web-application science performance evaluation (SciPE) to perform comprehensive scientometric analyses. METHODS AND RESULTS: Metadata related to publications derived from online databases were processed and visualized by transferring the information to an undirected multipartite graph and distinct partitioned sets of nodes. Also, institution-specific data were normalized and merged allowing precise geocoordinate positioning, to enable heatmapping and valid identification. As a result, verified, processed data regarding articles, institutions, journals, authors gender, nations and subject categories can be obtained. We recommend including the total number of publications, citations, the population, research institutions, gross domestic product, and the country-specific modified Hirsch Index and to form corresponding ratios (e.g., population/publication). Also, our approach includes implementation of bioinformatical methods such as heatmapping based on exact geocoordinates, simple chord diagrams, and the central implementation of specific ratios with plain visualization techniques. CONCLUSION: This protocol allows precise conduction of contemporaneous scientometric analyses based on bioinformatic and meta-analytical techniques, allowing to evaluate and contextualize scientific efforts. Data presentation with the depicted visualization techniques is mandatory for transparent and consistent analyses of research output across different nations and topics. Research performance can then be discussed in a synopsis of all findings.
AIMS: We aimed at developing a structured study protocol utilizing the bibliographic web-application science performance evaluation (SciPE) to perform comprehensive scientometric analyses. METHODS AND RESULTS: Metadata related to publications derived from online databases were processed and visualized by transferring the information to an undirected multipartite graph and distinct partitioned sets of nodes. Also, institution-specific data were normalized and merged allowing precise geocoordinate positioning, to enable heatmapping and valid identification. As a result, verified, processed data regarding articles, institutions, journals, authors gender, nations and subject categories can be obtained. We recommend including the total number of publications, citations, the population, research institutions, gross domestic product, and the country-specific modified Hirsch Index and to form corresponding ratios (e.g., population/publication). Also, our approach includes implementation of bioinformatical methods such as heatmapping based on exact geocoordinates, simple chord diagrams, and the central implementation of specific ratios with plain visualization techniques. CONCLUSION: This protocol allows precise conduction of contemporaneous scientometric analyses based on bioinformatic and meta-analytical techniques, allowing to evaluate and contextualize scientific efforts. Data presentation with the depicted visualization techniques is mandatory for transparent and consistent analyses of research output across different nations and topics. Research performance can then be discussed in a synopsis of all findings.
Keywords:
Bibliometrics; Bibliometry; Meta-analysis; Research assessment; Scientometry
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