Nothing Special   »   [go: up one dir, main page]
Skip to main content
Springer Nature Link
Log in

Analysis of the Webometric Indicators of the Main Websites that Aggregate Multithematic Scientific Information

  • Information Analysis
  • Published:
Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

A rationale is provided for the importance of assessing the availability, volumes, and relevance of scientific and technical information (STI) on content-aggregator websites. It is suggested that STI be classified into two groups: scientific information and engineering/technical information. Based on certain categorization principles described in this article, content-aggregator websites are divided into 33 categories. A discussion is given of the possibilities and drawbacks of the webometrics methodology that is used in Russia to evaluate websites with scientific content. A new methodology is proposed for evaluating the volumes and relevance of information on aggregator websites of scientific content. The proposed methodology has been tested on the websites of several leading foreign and Russian organizations aggregating multithematic scientific information. A discussion is given about the place of these websites in the global and Russian scientific infospace, the composition and sources of the scientific information aggregated on the websites, the terms of access to this information, and whether and how these websites use systems for calculating scientometric indicators. The webometric indicators are presented and discussed for all the websites included in the study.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Brumshtein, Yu.M., An analysis of the impact of information and communication technology on the structure of scientific and technical information in Russia, Sci. Tech. Inf. Process., 2016, vol. 43, no. 4, pp. 257–267.

    Article  Google Scholar 

  2. Lopatina, N.V., The information infrastructure of society: Problems of research and management, Sci. Tech. Inf. Process., 2016, vol. 43, no. 2, pp. 95–98.

    Article  Google Scholar 

  3. Syuntyurenko, O.V., The evolutionary factors, management, and efficiency of information support, Autom. Doc. Math. Linguist., 2016, vol. 50, no. 3, pp. 117–125.

    Article  Google Scholar 

  4. Il’yasov, B.G., Gerasimova, I.B., Karamzina, A.G., and Suyargulova, Yu.R., A model of accumulation of knowledge in a scientific school as a result of self-organization of the process of information exchange, Tr. SPIIRAN, 2016, no. 4 (47), pp. 144–162.

    Google Scholar 

  5. Zatsman, I.M., Internet electronic scientific document libraries: Structure, formal description, and nonverbal information retrieval, Autom. Doc. Math. Linguist., 1998, vol. 32, no. 6, pp. 14–21.

    Google Scholar 

  6. Zelepukhina, V.A., The problem of reliability and objectivity of information within the scientific Internet community built on the principles of WEB 2.0, Prikasp. Zh.: Upr. Vys. Tekhnol., 2013, no. 4, pp. 157–165.

    Google Scholar 

  7. Public resources: Government initiatives and practical solutions, Univ. Kn., 2012, no. 4 pp. 20–27.

  8. Gurov, A.N., Goncharova, Yu.G., and Bubyakin, G.B., Open access to scientific knowledge: Its state, problems, and prospects of development, Sci. Tech. Inf. Process., 2016, vol. 43, no. 2, pp. 88–94.

    Article  Google Scholar 

  9. Prokudin, D.E. and Chugunov, A.V., Network electronic repositories and aggregation and preservation systems in the concept of free access to scientific information, in Integrirovannye tsifrovye resursy: Organizatsionno- tekhnologicheskie i nauchno-metodicheskie osnovy razvitiya. Sbornik nauchnykh trudov. Ser. “Elektronnaya biblioteka” Prezidentskaya biblioteka imeni B.N. El’tsina (Integrated Digital Resources: Organizational- Technological and Scientific-Methodological Fundamentals of Development. Collection of Scientific Papers. Electronic Library Series, Yeltsin Presidential Library), Zhabko, E.D., Ed., St. Petersburg, 2015.

    Google Scholar 

  10. Björk, Bo-C., Open access to scientific publications— an analysis of the barriers to change?, Inf. Res., 2004, vol. 9, no. 2, p. 170. http://hdl.handle.net/10227/647. Accessed July 4, 2017.

    Google Scholar 

  11. Laruk, O. and Garanovich, M.V., Assessment of access to scientific information for academic users on the Internet, Global’nyi Nauchn. Potentsial, 2014, no. 9 (42), pp. 135–138.

    Google Scholar 

  12. Prokhorova, A.M., The concept of site usability: Indicators and design standards, Nov. Univ., Ser.: Ekon. Pravo, 2016, no. 9 (67), pp. 87–90.

    Google Scholar 

  13. Laikova, A.A., Usability of the site: Principles and methods of assessment, Aktual. Probl. Aviats. Kosmonavt., 2016, vol. 2, no. 12.

    Google Scholar 

  14. Egorov, V.S., Specifics of access to scholarly journal literature in the digital society: The history of the problem, Nauchno-Tekh. Inf., Ser. 1, 2012, no. 11, pp. 18–23.

    Google Scholar 

  15. Arskii, Yu.M. and Bykov, V.A., The activities of VINITI RAS as a key organization of the commonwealth of independent states for the exchange of scientific and technological information, Sci. Tech. Inf. Process., 2013, vol. 40, no. 2, pp. 101–108.

    Article  Google Scholar 

  16. Kalinin, Yu.P., Khoroshilov, A.A., and Khoroshilov, A.A., Principles for the creation of a system for monitoring and analyzing the world flow of scientific and technical information, Sist. Sredstva Inf., 2016, vol. 26, no. 1, pp. 139–165.

    Google Scholar 

  17. Mel’nikova, E.V., Enhanced functions of the modern STI system in Russia in the context of its improvement and of the development of the innovative orientation, Sci. Tech. Inf. Process., 2014, vol. 41, no. 1, pp. 29–32.

    Article  Google Scholar 

  18. Brumshtein, Yu.M., Vas’kovskii, E.Yu., and Kuanshkaliev, T.Kh., Searching for information on the Internet: An analysis of influencing factors and patterns of user behavior, Izv. Volgogr. Gos. Tekh. Univ., 2017, no. 1 (196), pp. 50–55.

    Google Scholar 

  19. Biktimirov, M.R., Glebskii, V.L., Dolgov, B.V., and Polikarpov, S.A., Use of information technologies and infrastructures for the aggregation of scientific information. The experience of Canada, the Netherlands, and the United States, Model. Anal. Inf. Sist., 2015, vol. 22, no. 1, pp. 114–126.

    Article  MathSciNet  Google Scholar 

  20. Lyagushkina, E.A. and Bogatov, V.V., Analysis of the effectiveness of fundamental scientific research: The publication aspect, Naukovedenie, 2017, vol. 9, no. 2. http://naukovedenie.ru/PDF/10EVN217.pdf.

    Google Scholar 

  21. Red’kina, N.S., Directions for the development of web analytics tools, Nauchno-Tekh. Inf., Ser. 2, 2017, no. 5, pp. 5–10.

    Google Scholar 

  22. Vas’kovskii, E.Yu. and Brumshtein, Yu.M., System analysis of the functionality of the counters of site traffic, Prikasp. Zh.: Upr. Vys. Tekhnol., 2015, no. 3, pp. 45–58.

    Google Scholar 

  23. Guskov, A.E., Bykhovtsev, E.S., and Kosyakov, D.V., Alternative Webometrics: Study of the traffic of the websites of scientific organizations, Sci. Tech. Inf. Process., 2015, vol. 42, no. 4, pp. 274–289.

    Article  Google Scholar 

  24. Thelwall, M., Data Science Altmetrics, J. Data Inf. Sci., 2016, vol. 1, no. 2, pp. 7–12. doi 10.20309/jdis.201610

    Google Scholar 

  25. Torres-Salinas, D., Cabezas-Clavijo, A., Jimenez-Contreras, E., Altmetrics: New indicators for scientific communication in Web 2.0. arXiv:1306.6595v1 [cs.DL]. doi 10.3916/C41-2013-0510.3916/C41-2013-05

  26. Zahedi, Z., Costas, R., and Wouters, P., How well developed are altmetrics? A cross-disciplinary analysis of the presence of ‘alternative metrics’ in scientific publications. arXiv:1404.1301v1 [cs.DL]. doi 10.1007/s11192-014-1264-010.1007/s11192-014-1264-0

  27. Golitsina O.L., Kupriyanov V.M., Maksimov N.V. Information and technological solutions applied for knowledge-management tasks, Sci. Tech. Inf. Process., 2015, vol. 42, no. 3, pp. 150–161.

    Article  Google Scholar 

  28. Tret’yakova, O.V. and Kabakova, E.A., Possibilities of using webometric analysis in assessing the site of a scientific institute, Vopr. Territ. Razvit., 2014, no. 2 (12), p. 5.

    Google Scholar 

  29. Shokin, Yu.I., Vesnin, A.Yu., Dobrynin, A.A., Klimenko, O.A., and Rychkova, E.V., Mathematical modeling of information processes in the web space, Vychislitel’nye i informatsionnye tekhnologii v nauke, tekhnike i obrazovanii (CITech-2015) (Computational and Informational Technologies in Science, Engineering and Education (CITech-2015)), 2015, pp. 300–315.

    Google Scholar 

  30. Kosyakov, D.V., Gus’kov, A.E., and Bykhovtsev, E.S., Academic institutes of Russia in the mirror of webometrics, Vestn. Ross. Akad. Nauk, 2016, vol. 86, no. 11, pp. 1015–1025.

    Google Scholar 

  31. Ivanova, V.I., Translation of scientific publications as a means of popularizing research results in the global world, Russ. Yazyk Kul’t. Zerkale Perevoda, 2015, no. 1, pp. 207–215.

    Google Scholar 

  32. Semenyuk, E.P., Globalization of the information area and its significance for mankind, Sci. Tech. Inf. Process., 2015, vol. 42, no. 1, pp. 1–12.

    Article  MathSciNet  Google Scholar 

  33. Skovorodina, I.S. and Efremov, P.V., Technologies of creation, aggregation and use of scientific and educational content, Nauchn. Period.: Probl. Resheniya, 2013, no. 6 (18), pp. 31–34.

    Google Scholar 

  34. Aksent’eva, M.S., Kirillova, O.V., and Moskaleva, O.V., To the problem of citing in the Web of Science and Scopus the papers from Russian journals that have translated versions, Nauchn. Period.: Probl. Resheniya, 2013, no. 4 (16), pp. 4–18.

    Google Scholar 

  35. Halevia, G., Moedb, H., and Bar-Ilan, J., Suitability of Google Scholar as a source of scientific information and a source of data for a scientific evaluation-Review of the literature, J. Inf., 2017, vol. 11, no. 3, pp. 823–834. doi 10.1016/j.joi.2017.06.005

    Google Scholar 

  36. Antopolskii, A.B., On the feasibility of the Russian national webometric index, Sci. Tech. Inf. Process., 2014, vol. 41, no. 1, pp. 33–37.

    Article  Google Scholar 

  37. Pechnikov, A.A., Lugovaya, N.B., Chuiko, Yu.V., and Kosinets, I.E., Development of tools for webometric research of hyperlinks of scientific sites, Vychisl. Tekhnol., 2009, vol. 14, no. 5, pp. 66–78.

    Google Scholar 

  38. Blekanov, I.S., Sergeev, S.L., and Martynenko, I.A., Construction of thematically oriented web crawlers using the generalized kernel, Nauchno-Tekh. Vedomosti S.-Peterb. Gos. Polit. Univ., Inf., Telekommun., Upr., 2012, vol. 5, no. 157, pp. 9–15.

    Google Scholar 

  39. Brumshtein, Yu.M., Vas’kovskii, E.Yu., and Gorbacheva, A.N., Internet sites of executive authorities in the Caspian regions of Russia: Analysis of nomenclature, functionality, and demand for resources, Prikasp. Zh.: Upr. Vys. Tekhnol., 2016, no. 4 (36), pp. 52–68.

    Google Scholar 

  40. Osipova, V.A., NEB: The history, structure, and the new stage of development, Univ. Kn., 2013, no. 10, pp. 64–66.

    Google Scholar 

  41. Eremenko, G.O., Elibrary.ru: Course on improving the quality of content, Univ. Kn., 2016, no. 3, pp. 62–68.

    Google Scholar 

  42. Yurkov A.V., Applied scientometrics: Elibrary.ru vs Google Academy, Vestn. Ross. Univ. Druzhby Narodov, Ser.: Inf. Obrazov., 2015, no. 2, pp. 21–27.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Astrakhan State University, Astrakhan, Russia

    Yu. M. Brumshteyn & E. Yu. Vas’kovskii

Authors
  1. Yu. M. Brumshteyn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. E. Yu. Vas’kovskii
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yu. M. Brumshteyn.

Additional information

Original Russian Text © Yu.M. Brumshteyn, E.Yu. Vas’kovskii, 2017, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2017, No. 11, pp. 16–32.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Brumshteyn, Y.M., Vas’kovskii, E.Y. Analysis of the Webometric Indicators of the Main Websites that Aggregate Multithematic Scientific Information. Autom. Doc. Math. Linguist. 51, 250–265 (2017). https://doi.org/10.3103/S0005105517060048

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0005105517060048

Keywords

Search

Navigation