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Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry

Author

Listed:
  • Pilar Valderrama

    (University of Granada)

  • Manuel Escabias

    (University of Granada)

  • Evaristo Jiménez-Contreras

    (University of Granada)

  • Alberto Rodríguez-Archilla

    (University of Granada)

  • Mariano J. Valderrama

    (University of Granada)

Abstract

On the basis of the Impact Factor of Journal Citation Reports developed by ISI as a journal quality indicator, this paper puts forth an ordinal regression model to estimate the journal’s position by terciles. The set of explanatory variables includes the H-index of its Editor-in-chief, percentage of papers published in the journal that received external funding, average number of papers published yearly, and two factors concerning the scope and structure of the journal. The proposed model was applied to the field of Dentistry, Oral Surgery and Medicine, and led us to the conclusion that the above mentioned covariables alone had a significant input in the model, but not the factors. The essay performed on a sample of 30 Dentistry journals included in JCR provided a confirmatory correct classification rate (CCR) of 80%, with a predictive CCR of 75% on a sample of eight new journals not previously considered in the phase of model estimation.

Suggested Citation

  • Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Alberto Rodríguez-Archilla & Mariano J. Valderrama, 2018. "Proposal of a stochastic model to determine the bibliometric variables influencing the quality of a journal: application to the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 115(2), pages 1087-1095, May.
    • Handle: RePEc:spr:scient:v:115:y:2018:i:2:d:10.1007_s11192-018-2707-9
    DOI: 10.1007/s11192-018-2707-9
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    References listed on IDEAS

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    Cited by:

    1. Mina Moradzadeh & Shahram Sedghi & Sirous Panahi, 2023. "Towards a new paradigm for ‘journal quality’ criteria: a scoping review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(1), pages 279-321, January.
    2. Lin Feng & Jian Zhou & Sheng-Lan Liu & Ning Cai & Jie Yang, 2020. "Analysis of journal evaluation indicators: an experimental study based on unsupervised Laplacian score," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 233-254, July.
    3. Mingyang Wang & Shijia Jiao & Kah-Hin Chai & Guangsheng Chen, 2019. "Building journal’s long-term impact: using indicators detected from the sustained active articles," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 261-283, October.
    4. Salim Sazzed, 2021. "Association between the Rankings of Top Bioinformatics and Medical Informatics Journals and the Scholarly Reputations of Chief Editors," Publications, MDPI, vol. 9(3), pages 1-15, September.
    5. Pilar Valderrama & Manuel Escabias & Evaristo Jiménez-Contreras & Mariano J. Valderrama & Pilar Baca, 2018. "A mixed longitudinal and cross-sectional model to forecast the journal impact factor in the field of Dentistry," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 1203-1212, August.
    6. Pilar Valderrama & Evaristo Jiménez-Contreras & Manuel Escabias & Mariano J. Valderrama, 2022. "Introducing a bibliometric index based on factor analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 509-522, January.

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