Citescore of publications indexed in Scopus: an implementation of panel data

This 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...

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Autores:
Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Bouza, Carlos
Gaitán-Angulo, Mercedes
Viloria Silva, Amelec Jesus
Tipo de recurso:
http://purl.org/coar/resource_type/c_816b
Fecha de publicación:
2019
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/5224
Acceso en línea:
https://hdl.handle.net/11323/5224
https://repositorio.cuc.edu.co/
Palabra clave:
CiteScore
Publications
Journals
Indexing
Scopus
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International
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repository_id_str
dc.title.spa.fl_str_mv Citescore of publications indexed in Scopus: an implementation of panel data
title Citescore of publications indexed in Scopus: an implementation of panel data
spellingShingle Citescore of publications indexed in Scopus: an implementation of panel data
CiteScore
Publications
Journals
Indexing
Scopus
title_short Citescore of publications indexed in Scopus: an implementation of panel data
title_full Citescore of publications indexed in Scopus: an implementation of panel data
title_fullStr Citescore of publications indexed in Scopus: an implementation of panel data
title_full_unstemmed Citescore of publications indexed in Scopus: an implementation of panel data
title_sort Citescore of publications indexed in Scopus: an implementation of panel data
dc.creator.fl_str_mv Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Bouza, Carlos
Gaitán-Angulo, Mercedes
Viloria Silva, Amelec Jesus
dc.contributor.author.spa.fl_str_mv Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Bouza, Carlos
Gaitán-Angulo, Mercedes
Viloria Silva, Amelec Jesus
dc.subject.spa.fl_str_mv CiteScore
Publications
Journals
Indexing
Scopus
topic CiteScore
Publications
Journals
Indexing
Scopus
description This 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.
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-08-31T03:07:00Z
dc.date.available.none.fl_str_mv 2019-08-31T03:07:00Z
dc.date.issued.none.fl_str_mv 2019-07-26
dc.type.spa.fl_str_mv Pre-Publicación
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dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.spa.fl_str_mv https://doi.org/10.1007/978-981-32-9563-6_6
dc.relation.references.spa.fl_str_mv 1. 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)
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dc.publisher.spa.fl_str_mv Communications in Computer and Information Science
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spelling Henao-Rodríguez, CarolinaLis-Gutiérrez, Jenny-PaolaBouza, CarlosGaitán-Angulo, MercedesViloria Silva, Amelec Jesus2019-08-31T03:07:00Z2019-08-31T03:07:00Z2019-07-261865-0929https://hdl.handle.net/11323/5224Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This 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.Corporación Universitaria Minuto de Dios, Fundación Universitaria Konrad Lorenz, Universidad de La Habana, Universidad de la Costa.Henao-Rodríguez, CarolinaLis-Gutiérrez, Jenny-PaolaBouza, CarlosGaitán-Angulo, MercedesViloria Silva, Amelec JesusengCommunications in Computer and Information Sciencehttps://doi.org/10.1007/978-981-32-9563-6_61. 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. 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