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Contemporary scientometric analyses using a novel web application: the science performance evaluation (SciPE) approach

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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.

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Author information

Author notes

  1. Andreas Keller and Felix Mahfoud contributed equally to this work.

Authors and Affiliations

  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 S. Scholz, Dominic Millenaar, Christian Ukena, Michael Böhm & Felix Mahfoud

  2. Zentrum für Bioinformatik Saar, Abteilung für klinische Bioinformatik, Universität des Saarlandes, Saarbrücken, Germany

    Markus Dillmann, Alexander Flohr, Christina Backes, Tobias Fehlmann & Andreas Keller

  3. Department of Neurology, Stanford University California, California, CA, USA

    Andreas Keller

  4. Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA

    Felix Mahfoud

Authors
  1. Sean S. Scholz
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  2. Markus Dillmann
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  4. Christina Backes
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  7. Christian Ukena
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  9. Andreas Keller
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Corresponding author

Correspondence to Sean S. Scholz.

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Conflict of interest

SSS has received speaker honoraria from Pfizer. MB and FM are supported by Deutsche Forschungsgemeinschaft (SFB TRR219). MB receives honoraria for lectures and scientific advice from Abbott, Astra-Zeneca, Boehringer-Ingelheim, Medtronic, Novartis, Servier, and Vifor. FM is supported by Deutsche Hochdruckliga (DHL) and Deutsche Gesellschaft für Kardiologie (DGK). FM has received scientific support and speaker honoraria from Medtronic and ReCor Medical. The remaining authors have no disclosures to report.

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Scholz, S.S., Dillmann, M., Flohr, A. et al. Contemporary scientometric analyses using a novel web application: the science performance evaluation (SciPE) approach. Clin Res Cardiol 109, 810–818 (2020). https://doi.org/10.1007/s00392-019-01568-x

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  • DOI: https://doi.org/10.1007/s00392-019-01568-x

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