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A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts

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  • Christoph Neuhaus

    (Professorship for Social Psychology and Research on Higher Education)

  • Hans-Dieter Daniel

    (Professorship for Social Psychology and Research on Higher Education
    University of Zurich)

Abstract

Citation analysis for evaluative purposes requires reference standards, as publication activity and citation habits differ considerably among fields. Reference standards based on journal classification schemes are fraught with problems in the case of multidisciplinary and general journals and are limited with respect to their resolution of fields. To overcome these shortcomings of journal classification schemes, we propose a new reference standard for chemistry and related fields that is based on the sections of the Chemical Abstracts database. We determined the values of the reference standard for research articles published in 2000 in the biochemistry sections of Chemical Abstracts as an example. The results show that citation habits vary extensively not only between fields but also within fields. Overall, the sections of Chemical Abstracts seem to be a promising basis for reference standards in chemistry and related fields for four reasons: (1) The wider coverage of the pertinent literature, (2) the quality of indexing, (3) the assignment of papers published in multidisciplinary and general journals to their respective fields, and (4) the resolution of fields on a lower level (e.g. mammalian biochemistry) than in journal classification schemes (e.g. biochemistry & molecular biology).

Suggested Citation

  • Christoph Neuhaus & Hans-Dieter Daniel, 2009. "A new reference standard for citation analysis in chemistry and related fields based on the sections of Chemical Abstracts," Scientometrics, Springer;Akadémiai Kiadó, vol. 78(2), pages 219-229, February.
    • Handle: RePEc:spr:scient:v:78:y:2009:i:2:d:10.1007_s11192-007-2007-2
    DOI: 10.1007/s11192-007-2007-2
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    Cited by:

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    6. Ruiz-Castillo, Javier & Waltman, Ludo, 2015. "Field-normalized citation impact indicators using algorithmically constructed classification systems of science," Journal of Informetrics, Elsevier, vol. 9(1), pages 102-117.
    7. Bornmann, Lutz & Schier, Hermann & Marx, Werner & Daniel, Hans-Dieter, 2012. "What factors determine citation counts of publications in chemistry besides their quality?," Journal of Informetrics, Elsevier, vol. 6(1), pages 11-18.
    8. Colliander, Cristian & Ahlgren, Per, 2011. "The effects and their stability of field normalization baseline on relative performance with respect to citation impact: A case study of 20 natural science departments," Journal of Informetrics, Elsevier, vol. 5(1), pages 101-113.
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    11. Robert Tomaszewski, 2017. "Citations to chemical resources in scholarly articles: CRC Handbook of Chemistry and Physics and The Merck Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 112(3), pages 1865-1879, September.
    12. Liang, Liming & Rousseau, Ronald, 2010. "Measuring a journal's input rhythm based on its publication–reference matrix," Journal of Informetrics, Elsevier, vol. 4(2), pages 201-209.
    13. Ahlgren, Per & Waltman, Ludo, 2014. "The correlation between citation-based and expert-based assessments of publication channels: SNIP and SJR vs. Norwegian quality assessments," Journal of Informetrics, Elsevier, vol. 8(4), pages 985-996.
    14. Waltman, Ludo, 2016. "A review of the literature on citation impact indicators," Journal of Informetrics, Elsevier, vol. 10(2), pages 365-391.
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    16. Maaike Verbree & Edwin Horlings & Peter Groenewegen & Inge Weijden & Peter Besselaar, 2015. "Organizational factors influencing scholarly performance: a multivariate study of biomedical research groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(1), pages 25-49, January.
    17. Ludo Waltman & Erjia Yan & Nees Jan Eck, 2011. "A recursive field-normalized bibliometric performance indicator: an application to the field of library and information science," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 301-314, October.
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    19. Rons, Nadine, 2018. "Bibliometric approximation of a scientific specialty by combining key sources, title words, authors and references," Journal of Informetrics, Elsevier, vol. 12(1), pages 113-132.

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