Contemporary scientometric analyses using a novel web application: the science performance evaluation (SciPE) approach
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Author(s)
Scholz, Sean S
Dillmann, Markus
Flohr, Alexander
Backes, Christina
Fehlmann, Tobias
Millenaar, Dominic
Ukena, Christian
Böhm, Michael
Keller, Andreas
Mahfoud, Felix
Date Issued
November 4, 2019
Publisher
Springer Berlin Heidelberg
Version
Author's final manuscript
Abstract
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.
Graphic abstract
MIT Department
Massachusetts Institute of Technology. Institute for Medical Engineering & Science
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1007/s00392-019-01568-x
