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dc.creatorHenao-Rodríguez, Carolina
dc.creatorLis-Gutiérrez, Jenny-Paola
dc.creatorGaitán-Angulo, Mercedes
dc.creatorVásquez, Carmen
dc.creatorTorres Samuel, Maritza
dc.creatorViloria Silva, Amelec Jesus
dc.description.abstractThis paper has the purpose of establishing the variables that explain the behavior of ResearchGate for the Top100 Latin American universities positioned in Webometrics database for January 2017. For this purpose, a search was carried out to get information about postgraduate courses and professors at the institutional websites and social networks, obtaining documents registered in Google Scholar. For the data analysis, the econometric technique of ordinary least squares was applied, a cross-sectional study for the year 2017 was conducted, and the individuals studied were the first 100 Latin American universities, obtaining a coefficient of determination of 73.82%. The results show that the most significant variables are the number of programs, the number of teacher’s profiles registered in Google Scholar, the number of subscribers to the institutional YouTube channel, and the GDP per capita of the university origin country. Variables such as (i) number of undergraduate programs, (ii) number of scientific journals; (iii) number of documents found under the university domain; (iv) H-index of the 1st profile of researcher at the university; (vi) number of members of the institution; (v) SIR Scimago ranking of Higher Education Institutions; (vi) number of tweets published in the institutional account; (vii) number of followers in the Twitter institutional account; (vii) number of “likes” given to the institutional count, were not significantspa
dc.description.sponsorshipCorporación Universitaria Minuto de Dios, Fundación Universitaria Konrad Lorenz, Universidad Nacional Experimental Politécnica, Universidad Centroccidental “Lisandro Alvarado, Universidad de la
dc.publisherCommunications in Computer and Information Sciencespa
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.subjectGoogle scholarspa
dc.subjectAcademic assessmentspa
dc.titleDeterminants of researchgate (rg) score for the top 100 of Latin American universities at webometricsspa
dcterms.references1. ReseachGate the network for science and research (2018). recruiting/?utm_source=researchgate&utm_medium=community-loggedout&utm_campaign= indextop 2. Orduña-Malea, E., Martín-Martín, A., López-Cózar, E.D.: ResearchGate como fuente de evaluación científica: desvelando sus aplicaciones bibliométricas. El profesional de la información (EPI) 25(2), 303–310 (2016) 3. Yu, M.C., Wu, Y.C.J., Alhalabi, W., Kao, H.Y., Wu, W.H.: ResearchGate: an effective altmetric indicator for active researchers? Comput. Hum. Behav. 55, 1001–1006 (2016) 4. Yan, W., Zhang, Y.: Research universities on the ResearchGate social networking site: an examination of institutional differences, research activity level, and social networks formed. J. Inform. 12(1), 385–400 (2018) 5. Thelwall, M., Kousha, K.: ResearchGate: disseminating, communicating, and measuring scholarship? J. Assoc. Inf. Sci. Technol. 66(5), 876–889 (2015) 6. Martín-Martín, A., Orduña-Malea, E., Ayllón, J.M., López-Cózar, E.D.: The counting house: Measuring those who count. Presence of bibliometrics, scientometrics, informetrics, webometrics and altmetrics in the Google Scholar citations, Researcherid, ResearchGate, Mendeley & Twitter (2016). arXiv preprint arXiv:1602.02412 7. Torres-Samuel, M., Vásquez, C.L., Viloria, A., Varela, N., Hernández-Fernandez, L., Portillo-Medina, R.: Analysis of patterns in the university world rankings webometrics, Shanghai, QS and SIR-SCimago: case Latin America. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 188–199. Springer, Cham (2018). 1007/978-3-319-93803-5_18 8. Torres-Samuel, M., et al.: Efficiency analysis of the visibility of Latin American universities and their impact on the ranking web. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 235–243. Springer, Cham (2018). 93803-5_22 9. Vásquez, C., et al.: Cluster of the Latin American universities Top100 according to webometrics 2017. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 276–283. Springer, Cham (2018). 10. Torres-Samuel, M., Vásquez, C., Viloria, A., Lis-Gutiérrez, J.P., Borrero, T.C., Varela, N.: Web visibility profiles of Top100 Latin American universities. In: Tan, Y., Shi, Y., Tang, Q. (eds.) DMBD 2018. LNCS, vol. 10943, pp. 254–262. Springer, Cham (2018). https://doi. org/10.1007/978-3-319-93803-5_24 11. Ramanayaka, K.H., Chen, X., Shi, B.: Application of webometrics techniques for measuring and evaluating visibility of university library websites in Sri Lanka. J. Univ. Libr. Assoc. Sri Lanka 21(1), 1–17 (2018). 12. Jati, H.: University webometrics ranking using multicriteria decision analysis: entropy and TOPSIS method. Soc. Sci. 13(3), 763–765 (2018). medwelljournals/sscience/2018/763-765.pdf 13. Manoj, M.: Webometrics as a tool for measuring popularity of websites: an analysis of websites of IISERs in India. Int. J. Sci. Res. Sci. Technol. 4(2), 1472–1476 (2018) 14. Cybermetrics Lab Webometrics Ranking of World Universities (2018). http://www.

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