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Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science

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Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science

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Orduña Malea, E.; Aytac, S.; Tran, CY. (2019). Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science. Scientometrics. 121(1):433-450. https://doi.org/10.1007/s11192-019-03208-7

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Metadatos del ítem

Título: Universities through the eyes of bibliographic databases: a retroactive growth comparison of Google Scholar, Scopus and Web of Science
Autor: Orduña Malea, Enrique Aytac, Selenay Tran, Clara Y.
Entidad UPV: Universitat Politècnica de València. Facultad de Bellas Artes - Facultat de Belles Arts
Fecha difusión:
Resumen:
[EN] The purpose of this study is to ascertain the suitability of GS's url-based method as a valid approximation of universities' academic output measures, taking into account three aspects (retroactive growth, correlation, ...[+]
Palabras clave: Universities , Google Scholar , Bibliometrics , Web of Science , Scopus , Academic search engines , Research productivity , Retroactive growth , Bibliographic databases , Turkey
Derechos de uso: Reserva de todos los derechos
Fuente:
Scientometrics. (issn: 0138-9130 )
DOI: 10.1007/s11192-019-03208-7
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11192-019-03208-7
Tipo: Artículo

References

Aguillo, I. F. (2012). Is Google Scholar useful for bibliometrics? A webometric analysis. Scientometrics, 91(2), 343–351. https://doi.org/10.1007/s11192-011-0582-8 .

Aguillo, I. F., Ortega, J. L., & Fernández, M. (2008). Webometric ranking of world universities: Introduction, methodology, and future developments. Higher Education in Europe, 33(2–3), 233–244. https://doi.org/10.1080/03797720802254031 .

Amara, N., Landry, R., & Halilem, N. (2015). What can university administrators do to increase the publication and citation scores of their faculty members? Scientometrics, 103(2), 489–530. https://doi.org/10.1007/s11192-015-1537-2 . [+]
Aguillo, I. F. (2012). Is Google Scholar useful for bibliometrics? A webometric analysis. Scientometrics, 91(2), 343–351. https://doi.org/10.1007/s11192-011-0582-8 .

Aguillo, I. F., Ortega, J. L., & Fernández, M. (2008). Webometric ranking of world universities: Introduction, methodology, and future developments. Higher Education in Europe, 33(2–3), 233–244. https://doi.org/10.1080/03797720802254031 .

Amara, N., Landry, R., & Halilem, N. (2015). What can university administrators do to increase the publication and citation scores of their faculty members? Scientometrics, 103(2), 489–530. https://doi.org/10.1007/s11192-015-1537-2 .

Arlitsch, K., & O’Brian, P. S. (2012). Invisible institutional repositories: Addressing the low indexing ratios of IRs in Google. Library Hi Tech, 30(1), 60–81. https://doi.org/10.1108/07378831211213210 .

Aytac, S. (2010). An examination of international scientific collaboration in a developing country (Turkey) in the post Internet era. Brookville, NY: Long Island University.

De Winter, J. C., Zadpoor, A. A., & Dodou, D. (2014). The expansion of Google Scholar versus Web of Science: A longitudinal study. Scientometrics, 98(2), 1547–1565. https://doi.org/10.1007/s11192-013-1089-2 .

Delgado López-Cózar, E., Orduna-Malea, E., & Martín-Martín, A. (2019). Google scholar as a data source for research assessment. In W. Glänzel, H. F. Moed, U. Schmoch, & M. Thelwall (Eds.), Springer handbook of science and technology indicators. Heidelberg: Springer.

Franceschini, F., Maisano, D., & Mastrogiacomo, L. (2016a). Empirical analysis and classification of database errors in Scopus and Web of Science. Journal of Informetrics, 10(4), 933–953. https://doi.org/10.1016/j.joi.2016.07.003 .

Franceschini, F., Maisano, D., & Mastrogiacomo, L. (2016b). The museum of errors/horrors in Scopus. Journal of Informetrics, 10(1), 174–182. https://doi.org/10.1016/j.joi.2015.11.006 .

Gusenbauer, M. (2019). Google Scholar to overshadow them all? Comparing the sizes of 12 academic search engines and bibliographic databases. Scientometrics, 118(1), 177–214. https://doi.org/10.1007/s11192-018-2958-5 .

Harzing, A. W. (2013). A preliminary test of Google Scholar as a source for citation data: a longitudinal study of Nobel prize winners. Scientometrics, 94(3), 1057–1075. https://doi.org/10.1007/s11192-012-0777-7 .

Harzing, A. W. (2014). A longitudinal study of Google Scholar coverage between 2012 and 2013. Scientometrics, 98(1), 565–575. https://doi.org/10.1007/s11192-013-0975-y .

Hook, D. W., Porter, S. J., & Herzog, C. (2018). Dimensions: Building context for search and evaluation. Frontiers in Research Metrics and Analytics, 3, 23. https://doi.org/10.3389/frma.2018.00023 .

Jacsó, P. (2010). Metadata mega mess in Google Scholar. Online Information Review, 34(1), 175–191. https://doi.org/10.1108/14684521011024191 .

Martín-Martín, A., Orduna-Malea, E., Ayllón, J. M., & Delgado López-Cozar, E. (2016). A two-sided academic landscape: snapshot of highly-cited documents in Google Scholar (1950-2013). Revista española de documentación científica, 39(4), 1–21. https://doi.org/10.3989/redc.2016.4.1405 .

Mingers, J., & Meyer, M. (2017). Normalizing Google Scholar data for use in research evaluation. Scientometrics, 112(2), 1111–1121. https://doi.org/10.1007/s11192-017-2415-x .

Mingers, J., O’Hanley, J. R., & Okunola, M. (2017). Using Google Scholar institutional level data to evaluate the quality of university research. Scientometrics, 113(3), 1627–1643. https://doi.org/10.1007/s11192-017-2532-6 .

Mongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: A comparative analysis. Scientometrics, 106(1), 213–228. https://doi.org/10.1007/s11192-015-1765-5 .

Moskovkin, V. M. (2009). The potential of using the Google Scholar search engine for estimating the publication activities of universities. Scientific and Technical Information Processing, 36(4), 198–202. https://doi.org/10.3103/S0147688209040029 .

Moskovkin, V. M., Delux, T., & Moskovkina, M. V. (2012). Comparative analysis of university publication activity by google scholar: (On Example of Leading Czech and Germany Universities). Cybermetrics: International Journal of Scientometrics, Informetrics and Bibliometrics, 16(1), 1–9. http://hdl.handle.net/10261/174558

Orduna-Malea, E., Ayllon, J. M., Martín-Martín, A., & Delgado López-Cózar, E. (2017a). The lost academic home: Institutional affiliation links in Google Scholar Citations. Online Information Review, 41(6), 762–781. https://doi.org/10.1108/OIR-10-2016-0302 .

Orduna-Malea, E., & Delgado López-Cózar, E. (2015). The dark side of Open Access in Google and Google Scholar: The case of Latin-American repositories. Scientometrics, 102(1), 829–846. https://doi.org/10.1007/s11192-014-1369-5 .

Orduna-Malea, E., & Delgado-López-Cózar, E. (2018). Dimensions: Re-discovering the ecosystem of scientific information. El Profesional de la Información, 27(2), 420–431. https://doi.org/10.3145/epi.2018.mar.21 .

Orduña-Malea, E., Martín-Martín, A., Ayllón, Juan M., & Delgado López-Cózar, E. (2016). La revolución Google Scholar: Destapando la caja de Pandora académica. UNE: Granada.

Orduna-Malea, E., Martín-Martín, A., & Delgado López-Cozar, E. (2017b). Google Scholar as a source for scholarly evaluation: A bibliographic review of database errors. Revista española de documentación científica, 40(4), 1–33. https://doi.org/10.3989/redc.2017.4.1500 .

Orduña-Malea, E., Serrano-Cobos, J., & Lloret-Romero, N. (2009). Las Universidades públicas españolas en Google Scholar: Presencia y evolución en su publicación académica web. El profesional de la información, 5(18), 493–501. https://doi.org/10.3145/epi.2009.sep.02 .

Ortega, J. L. (2014). Academic search engines: A quantitative outlook. Oxford: Chandos Publishing.

Ramsden, P. (1994). Describing and explaining research productivity. Higher Education, 28(2), 207–226. https://doi.org/10.1007/BF01383729 .

Ranjbar-Sahraei, B., van Eck, N. J., & de Jong, R. (2018). Accuracy of affiliation information in Microsoft Academic: Implications for institutional level research evaluation. In R. Costas, T. Franssen, & A. Yegros-Yegros (Eds.), STI 2018 conference proceedings: Proceedings of the 23rd international conference on science and technology indicators (pp. 1065–1067). Leiden: Centre for Science and Technology Studies (CWTS), Leiden University. http://hdl.handle.net/1887/65339

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