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Methodology for the evaluation of scientific journals: Aggregated Citations of Cited Articles

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Abstract

The criteria for the evaluation of scientific journals have changed from characteristics of its contents to citations of articles. Among many problems associated with citation-based evaluation methods are that it is applicable only to a limited number of journals, preferential selection of citable documents, differential values to citations, time duration for assessment, etc. The proposed index, Aggregated Citations of Cited Articles (ACCA), is calculated based on citations data, derived from only of cited articles, and therefore can be validated from standard database. While giving more importance to citations, the number of cited articles published in a journal also has some influence in the new index. The calculated values are consistent with time and can be used to back-track the status of a journal in its past and for continued evaluation. The new Index ensures neutrality, qualitative and quantitative hierarchy and consistency in the estimation of journal ranking.

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References

  • Arencibia-Jorge, R. and de Moya-Anegon, F. (2009). Cuban Scientific Production in SCOPUS 1996-2007: a Scientometric Approach Using the SCImago Journal & Country Rank. In Larsen, B & Leta, J. (Ed.), Proceedings of Issi 2009—12th International Conference of the International Society for Scientometrics and Informetrics (Vol. 2, pp. 687–691).

  • Bergstrom, C. T., & West, J. D. (2008). Assessing citations with the Eigenfactor (TM) Metrics. Neurology, 71, 1850–1851.

    Article  Google Scholar 

  • Bloch, S., & Walter, G. (2001). The Impact Factor: Time for change. Australian and New Zealand Journal of Psychiatry, 35, 563–568.

    Article  Google Scholar 

  • Boell, S. K., & Wilson, C. S. (2010). Journal Impact Factors for evaluating scientific performance: use of h-like indicators. Scientometrics, 82, 613–626.

    Article  Google Scholar 

  • Braun, T., Glanzel, W., & Schubert, A. (2006). A Hirsch-type index for journals. Scientometrics, 69, 169–173.

    Article  Google Scholar 

  • Falagas, M. E., Kouranos, V. D., Arencibia-Jorge, R., & Karageorgopoulos, D. E. (2008). Comparison of SCImago journal rank indicator with journal impact factor. Faseb Journal, 22, 2623–2628.

    Article  Google Scholar 

  • Garfield, E. (1955). Citation indexes for science. Science, 122, 108–111.

    Article  Google Scholar 

  • Garfield, E. (1972). Citation analysis as a tool in journal evaluation. Science, 178, 471–479.

    Article  Google Scholar 

  • Hecht, F., Hecht, B. K., & Sandberg, A. A. (1998). The journal "impact factor": a misnamed, misleading, misused measure. Cancer Genetics and Cytogenetics, 104, 77–81.

    Article  Google Scholar 

  • Herman, P., Kozlowski, K. and Ieee, I. (2002). Some properties of dynamic equations of motion in terms of the eigenfactor quasi-coordinate velocity vector.

  • Magri, M. H., & Solari, A. (1996). The SCI Journal Citation Reports: A potential tool for studying journals? I. Description of the JCR journal population based on the number of citations received, number of source items, impact factor, immediacy index and cited half-life. Scientometrics, 35, 93–117.

    Article  Google Scholar 

  • Opthof, T. (1997). Sense and nonsense about the impact factor. Cardiovascular Research, 33, 1–7.

    Article  Google Scholar 

  • Schaub, H. and Junkins, J. L. (1998). Feedback control law using the eigenfactor quasi-coordinate velocity vector. In Hoots, F. R. Kaufman, B. Cefola, P. J. and Spencer, D. B. (Eds.), Astrodynamics 1997 (Vol. 97, pp. 803–816).

  • Siebelt, M., Siebelt, T., Pilot, P., Bloem, R. M., Bhandari, M. and Poolman, R. W. (2010). Citation analysis of orthopaedic literature; 18 major orthopaedic journals compared for Impact Factor and SCImago. Bmc Musculoskeletal Disorders 11.

  • van Nierop, E. (2010). The introduction of the 5-year impact factor: does it benefit statistics journals? Statistica Neerlandica, 64, 71–76.

    Article  Google Scholar 

  • Vanclay, J. K. (2009). Bias in the journal impact factor. Scientometrics, 78, 3–12.

    Article  Google Scholar 

  • Vijayan, M. (1997). Impact factors—a note of caution. Current Science, 73, 101.

    Google Scholar 

Download references

Acknowledgments

The author acknowledges the Director, Central Leather Research Institute, Chennai, India for the permission to publish the paper. The author also thanks Mr. R. Sivakumar for editing the text.

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  1. Central Leather Research Institute, Chennai, Tamil Nadu, 600 020, India

    D. Gnana Bharathi

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  1. D. Gnana Bharathi
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Correspondence to D. Gnana Bharathi.

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Bharathi, D.G. Methodology for the evaluation of scientific journals: Aggregated Citations of Cited Articles. Scientometrics 86, 563–574 (2011). https://doi.org/10.1007/s11192-010-0291-8

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