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dc.contributor.authorHenao-Rodríguez, Carolinaspa
dc.contributor.authorLis-Gutiérrez, Jenny-Paolaspa
dc.contributor.authorBouza, Carlosspa
dc.contributor.authorGaitán-Angulo, Mercedesspa
dc.contributor.authorViloria Silva, Amelec Jesusspa
dc.date.accessioned2019-08-31T03:07:00Z
dc.date.available2019-08-31T03:07:00Z
dc.date.issued2019-07-26
dc.identifier.issn1865-0929spa
dc.identifier.urihttp://hdl.handle.net/11323/5224spa
dc.description.abstractThis article is intended to establish the variables that explain the behavior of the CiteScore metrics from 2014 to 2016, for journals indexed in Scopus in 2017. With this purpose, journals with a CiteScore value greater than 11 were selected in any of the periods, that is to say, 133 journals. For the data analysis, a model of standard corrected errors for panel was used, from which a coefficient of determination of 77% was obtained. From the results, it was possible to state that journals of arts and humanities; business; administration and accounting; economics, econometrics, and finance; immunology and microbiology; medicine and social sciences, have the greatest impact.spa
dc.description.sponsorshipCorporación Universitaria Minuto de Dios, Fundación Universitaria Konrad Lorenz, Universidad de La Habana, Universidad de la Costa.spa
dc.language.isoeng
dc.publisherCommunications in Computer and Information Sciencespa
dc.relation.ispartofhttps://doi.org/10.1007/978-981-32-9563-6_6spa
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 Internationalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/spa
dc.subjectCiteScorespa
dc.subjectPublicationsspa
dc.subjectJournalsspa
dc.subjectIndexingspa
dc.subjectScopusspa
dc.titleCitescore of publications indexed in Scopus: an implementation of panel dataspa
dc.typePre-Publicaciónspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.references1. Stegehuis, C., Litvak, N., Waltman, L.: Predicting the long-term citation impact of recent publications. J. Inform. 9(3), 642–657 (2015) 2. Donner, P.: Effect of publication month on citation impact. J. Inform. 12(1), 330–343 (2018) 3. Kosteas, V.D.: Journal impact factors and month of publication. Econ. Lett. 135, 77–79 (2015). https://doi.org/10.1016/j.econlet.2015.08.010 4. Yu, T., Yu, G., Wang, M.Y.: Classification method for detecting coercive self-citation in journals. J. Inform. 8(1), 123–135 (2014) 5. Stremersch, S., Camacho, N., Vanneste, S., Verniers, I.: Unraveling scientific impact: citation types in marketing journals. Int. J. Res. Mark. 32(1), 64–77 (2015) 6. Wu, D., Li, J., Lu, X., Li, J.: Journal editorship index for assessing the scholarly impact of academic institutions: an empirical analysis in the field of economics. J. Inform. 12(2), 448– 460 (2018). https://doi.org/10.1016/j.joi.2018.03.008 7. Radicchi, F., Weissman, A., Bollen, J.: Quantifying perceived impact of scientific publications. J. Inform. 11(3), 704–712 (2017) 8. Salter, A., Salandra, R., Walker, J.: Exploring preferences for impact versus publications among UK business and management academics. Res. Policy 46(10), 1769–1782 (2017) 9. Lando, T., Bertoli-Barsotti, L.: Measuring the citation impact of journals with generalized Lorenz curves. J. Inform. 11(3), 689–703 (2017). https://doi.org/10.1016/j.joi.2017.05.005 10. Boyack, K.W., Van Eck, N.J., Colavizza, G., Waltman, L.: Characterizing in-text citations in scientific articles: a large-scale analysis. J. Inform. 12, 59–73 (2018). https://ac.els-cdn.com/ S1751157717303516/1-s2.0-S1751157717303516-main.pdf?_tid=a31a573c-aa04-43b7-abe8- d38f230004be&acdnat=1523576882_830f710bace5ba4add6778c9ac486eba 11. Sánchez, S., Gorraiz, J., Melero, D.: Reference density trends in the major disciplines. J. Inform. 12, 42–58 (2018). https://ac.els-cdn.com/S1751157717301487/1-s2.0-S17511577 17301487-main.pdf?_tid=919a6ae3-2f8c-45f6-b2a2-7d61f4927ab5&acdnat=1523577929_71 c9094e2952f12c35958d1d3b02495e 12. Zhang, L., Watson, E.M.: Measuring the impact of gold and green open-access. J. Acad. Librariansh. 43(4), 337–345 (2017). https://doi.org/10.1016/j.acalib.2017.06.004 13. Solomon, D., Laakso, M., Björk, B.: A longitudinal comparison of citation rates and growth among open-access and subscription journals. J. Inform. 7(3), 642–650 (2013) 14. Henao-Rodríguez, C., Lis-Gutiérrez, J.-P., Gaitán-Angulo, M., Malagón, L.E., Viloria, A.: Econometric analysis of the industrial growth determinants in Colombia. In: Wang, J., Cong, G., Chen, J., Qi, J. (eds.) ADC 2018. LNCS, vol. 10837, pp. 316–321. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-92013-9_26. https://www.springerprofessional. de/en/data-mining-and-big-data/15834080 15. Mingers, J., Xu, F.: The drivers of citations in management science journals. Eur. J. Oper. Res. 205(2), 422–430 (2010)spa
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dc.type.redcolhttp://purl.org/redcol/resource_type/ARTOTRspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
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dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


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