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Scientometrics

, Volume 117, Issue 1, pp 637–640 | Cite as

Field classification of publications in Dimensions: a first case study testing its reliability and validity

  • Lutz Bornmann
Article

Abstract

Dimensions is a research data infrastructure and tool, including grants, publications, citations, clinical trials, and patents in one place. An interesting feature of Dimensions is its field classification scheme, which is not based on journal classification systems, as in the Web of Science or Scopus, but on machine learning. Each publication is assigned to at least one field. Using the set of my own publications, I investigated whether they were reliably and validly assigned to fields. The results put in question the reliability and validity of the scheme. Large scale studies seem necessary to investigate the scheme in more detail.

Keywords

Bibliometrics Dimensions Lutz Bornmann 

Notes

Acknowledgements

The bibliometric data used in this paper is from Dimensions. The author thanks Digital Science for data access.

References

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2018

Authors and Affiliations

  1. 1.Division for Science and Innovation StudiesAdministrative Headquarters of the Max Planck SocietyMunichGermany

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