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Analysis of the Factors That Affect the Citability of Research Articles

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Abstract

The citation frequency is taken into account when monitoring the research output of institutions; a citation index should be provided when filling in grant applications or participating in competitions for support and is critical for additional incentives. This paper presents the results of an analysis of publications in physico-chemical biology from one of the institutes in the Research Center. These publications have not been cited since 2014. The authors explore the effects of different potential factors on the numbers of citations, provide recommendations for increasing the publication visibility in the scientific network

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REFERENCES

  1. Sharabchiev, Yu.T., The use of scientometric methods for monitoring the productivity of scientific activities, Mezhdunar. Obz.: Klin. Prakt. Zdorov’e, 2013, no. 4, pp. 118–133.

  2. Smith, L.C., Citation analysis, Libr. Trends, 1981, vol. 30, no. 1, pp. 83–110.

    Google Scholar 

  3. Bornmann, L. and Daniel, H., What do citation counts measure? A review of studies on citing behavior, J. Doc., 2008, vol. 64, no. 1, pp. 45–80. https://doi.org/10.1108/00220410810844150

    Article  Google Scholar 

  4. Soper, M.E., Characteristics and use of personal collections, Libr. Q., 1976, vol. 46, pp. 397–415.

    Article  Google Scholar 

  5. Daud Ali, Amjad Tehmina, Siddiqui Muazzam Ahmed, et al., Correlational analysis of topic specificity and citations count of publication venue, Libr. Hi Tech, 2019, vol. 37, no. 1, pp. 8–18.

    Article  Google Scholar 

  6. Kara-Murza, S.G., Citation in science and approaches to assessing the scientific contribution, Vestn. Akad. Nauk SSSR, 1984, no. 5, pp. 68–75.

  7. Cole, S., The growth of scientific knowledge: Theories of deviance as a case study, in The Idea of Social Structure, Routledge, 2017, pp. 175–220.

    Google Scholar 

  8. Beaver, D.B., Does collaborative research have greater epistemic authority?, Scientometrics, 2004, vol. 60, pp. 399–408.

    Article  Google Scholar 

  9. Soper, M.E., Characteristics and use of personal collections, Libr. Q., 1976, vol. 46, no. 4, pp. 397–415.

    Article  Google Scholar 

  10. Baldi, S., Normative versus social constructivist processes in the allocation of citations: A network-analytic model, Am. Sociol. Rev., 1998, vol. 63, no. 6, pp. 829–846.

    Article  Google Scholar 

  11. Stewart, J.A., Achievement and ascriptive processes in the recognition of scientific articles, Social Forces, 1983, vol. 62, no. 1, pp. 166–189.

    Article  Google Scholar 

  12. Ayres, I. and Vars, F.E., Determinants of citations to articles in elite law reviews, J. Legal Stud., 2000, vol. 29, no. s1, pp. 427–450.

    Article  Google Scholar 

  13. Laband, D.N. and Piette, M.J., Favoritism versus search for good papers: Empirical evidence regarding the behavior of journal editors, J. Polit. Econ., 1994, vol. 102, no. 1, pp. 194–203.

    Article  Google Scholar 

  14. Smart, S. and Waldfogel, J., A citation-based test for discrimination at economics and finance journals, Natl. Bur. Econ. Res., 1996, no. w5460.

  15. Mählck, P. and Persson, O., Socio-bibliometric mapping of intra-departmental networks, Scientometrics, 2000, vol. 49, no. 1, pp. 81–91.

    Article  Google Scholar 

  16. White, H.D., Authors as citers over time, J. Am. Soc. Inf. Sci. Technol., 2001, vol. 52, no. 2, pp. 87–108.

    Article  Google Scholar 

  17. Beskaravainaya, E.V. and Kharybina, T.N., Consolidation of scientists: Contribution of employees working abroad to research areas of scientific schools of the Institute for Protein Research of the Russian Academy of Sciences., Inf. Resur. Ross., 2014, no. 5, pp. 27–32.

  18. Beskaravainaya, E.V. and Kharybina, T.N., Dynamics of bibliometric indicators of employees of scientific schools of the Institute for Protein Research of the Russian Academy of Sciences, in Sb. nauch. trudov (Scientific Proceedings), Kalenov, N.E. and Tsvetkova, V.A., Eds., Moscow: BEN RAN, 2015, pp. 63–73.

  19. Beskaravainaya, E.V. and Kharybina, T.N., Creating a model for scientific research monitoring, Sci. Tech. Inf. Process., 2019, vol. 46, no. 2, pp. 100–109.

    Article  Google Scholar 

  20. Simkin, M.V. and Roychowdhury, V.P., A mathematical theory of citing, J. Am. Soc. Inf. Sci. Technol., 2007, vol. 58, no. 11, pp. 1661–1673. https://arxiv.org/ftp/ physics/papers/0504/0504094.pdf.

    Article  Google Scholar 

  21. Van Raan, A.F.J., Sleeping beauties in science, Scientometrics, 2004, vol. 59, no. 3, pp. 467–472.

    Article  Google Scholar 

  22. Mokhnacheva, Yu.V., Citation of scientific publications: Features and patterns, Nauchn. Tekh. Bibl., 2017.

  23. Garfield, E., Citation analysis as a tool in journal evaluation, Science, 1972, vol. 178, no. 4060, pp. 471–479.

    Article  Google Scholar 

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Correspondence to E. V. Beskaravainaja or T. N. Kharybina.

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Beskaravainaja, E.V., Kharybina, T.N. Analysis of the Factors That Affect the Citability of Research Articles. Sci. Tech. Inf. Proc. 47, 119–125 (2020). https://doi.org/10.3103/S0147688220020070

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  • DOI: https://doi.org/10.3103/S0147688220020070

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