Impact of Scholarly Publications and the Selected Socio-Demographic Factors

• Authors: Joanna Piechowiak-Lamparska , Bartłomiej Michalak , Katarzyna Kącka

Abstracts

EN

In a dynamically developing scientific environment, there is a tendency toward creating mechanisms that objectively evaluate the output of individual scientific units. Selected indicators can be applied, inter alia, to work out specific criteria for awarding funds for scientific research activities. One of the most important indicators used is the impact of researchers’ publications, which today determines the overall outcome of the evaluation of a research unit. The key question in this context is whether any socio-demographic factors are correlated with the impact of the scholarship work of individual researchers and, if yes, what those indicators are, specifically. The purpose of this study was to determine the existence and, if confirmed, the nature of correlation between the impact of researchers’ publications and selected socio-demographic factors such as: age, gender and family status. The study sample included all the academic employees of the Faculty of Political Sciences and International Studies, Nicolaus Copernicus University, in Toruń (Poland). The results demonstrated that the socio-demographic factors considered showed little correlation with publications’ impactfulness as measured in the Polish evaluation system of research units.

Keywords

EN

evaluation of scientific research; publication impact; socio-demographic variables; social sciences; the humanities

• Publisher: Wydawnictwo Adam Marszałek
• Journal: The New Educational Review
• Year: 2018
• Volume: 52
• Pages: 164-177

Dates

published

2018

Contributors

author

Joanna Piechowiak-Lamparska

• Nicolaus Copernicus University, Toruń

author

Bartłomiej Michalak

• Nicolaus Copernicus University, Toruń

author

Katarzyna Kącka

• Nicolaus Copernicus University, Toruń

References

• Abramo, G., D’Angelo, C.A., & Di Costa, F. (2011). Research productivity: Are higher academic ranks more productive than lower ones? Scientometrics, 88(3), 915 – 928. doi: http://dx.doi.org/10.1007/s11192–011–0426–6.
• Abramo, G., D’Angelo, C.A., & Murgia, G. (2015). The combined effects of age and seniority on research performance of full professors. Science and Public Policy, 43(3), 1 – 19. doi: http://dx.doi.org/10.1093/scipol/scv037.
• Carayol, N., & Matt, M. (2006). Individual and collective determinants of academic scientists’ productivity. Information Economics and Policy, 18(1), 55 – 72. doi: http://dx.doi.org/10.1016/j.infoecopol.2005.09.002.
• Cole, S. (1979). Age and scientific performance. American Journal of Sociology, 84(4), 958 – 977. http://dx.doi.org/10.1086/226868.
• Costas, R., van Leeuwen, T.N., & Bordons, M. (2010). A bibliometric classificatory approach for the study and assessment of research performance at the individual level: The effects of age on productivity and impact. Journal of the Association for Information Science and Technology, 61(8), 1564 – 1581. doi: http://dx.doi.org/10.1002/asi.21348.
• Cronin, B., & Meho, I. (2007). Timelines of creativity: A study of intellectual innovators in information science. Journal of the American Society for Information Science and Technology, 58(13), 1948 – 1959. doi: http://dx.doi.org/10.1002/asi.20667.
• Jeran, A., Kącka, K., & Piechowiak-Lamparska, J. (2017). Publication efficiency in science. suggestions on measures and their application using the case of Poland and Nicolaus Copernicus University in Toruń. The New Educational Review, 49(3), 138 – 153. doi: http://dx.doi.org/10.15804/tner.2017.49.3.11.
• Kelchtermans, S., & Veugelers, R. (2013). Top research productivity and its persistence: Gender as a double-edged sword. Review of Economics and Statistics, 95(1), 273 – 285. doi: http://dx.doi.org/10.1162/REST_a_00275.
• Kretschmer, H., & Kretschmer, T. (2013). Gender bias and explanation models for the phenomenon of women’s discriminations in research careers. Scientometrics, 97(1), 25 – 36. doi: http://dx.doi.org/10.1007/s11192–013–1023–7.
• Noordenbos, G. (1992). Explanations for differences in publication rates between male and female academics and between productive and less productive women. Bulletin of Sociological Methodology/Bulletin de Méthodologie Sociologique, 35(1), 22 – 45. doi: http://dx.doi.org/10.1177/075910639203500102.
• Puuska, H.M. (2010). Effects of scholar’s gender and professional position on publishing productivity in different publication types. Analysis of a Finnish university. Scientometrics, 82(2), 419 – 437. doi: http://dx.doi.org/10.1007/s11192–009–0037–7.
• Rørstad, K., & Aksnes, D.W. (2015). Publication rate expressed by age, gender and academic position – A large-scale analysis of Norwegian academic staff. Journal of Informetrics, 9(2), 317 – 333. doi: http://dx.doi.org/10.1016/j.joi.2015.02.003.
• Rozporządzenie Ministra Nauki i Szkolnictwa Wyższego z dnia 12 grudnia 2016 r. w sprawie przyznawania kategorii naukowej jednostkom naukowym i uczelniom, w których zgodnie z ich statutami nie wyodrębniono podstawowych jednostek organizacyjnych. Dziennik Ustaw, poz. 2154 [Regulation of the Minister of Science and Higher Education of 12 December 2016 on granting of scientific ranks to scientific units and universities in which, pursuant to their statutes, core organizational units have not been delimited, Journal of Laws, item 2154].

Identifiers

DOI

10.15804/tner.2018.52.2.13

Biblioteka Nauki

1969405