Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics

This 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 a...

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Autores:
Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Gaitán-Angulo, Mercedes
Vásquez, Carmen
Torres Samuel, Maritza
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:11323/5226
Acceso en línea:
https://hdl.handle.net/11323/5226
https://repositorio.cuc.edu.co/
Palabra clave:
ResearchGate
Universities
Google scholar
Academic assessment
Webometrics
Rights
openAccess
License
Attribution-NonCommercial-ShareAlike 4.0 International
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dc.title.spa.fl_str_mv Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
title Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
spellingShingle Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
ResearchGate
Universities
Google scholar
Academic assessment
Webometrics
title_short Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
title_full Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
title_fullStr Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
title_full_unstemmed Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
title_sort Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
dc.creator.fl_str_mv Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Gaitán-Angulo, Mercedes
Vásquez, Carmen
Torres Samuel, Maritza
Viloria Silva, Amelec Jesus
dc.contributor.author.spa.fl_str_mv Henao-Rodríguez, Carolina
Lis-Gutiérrez, Jenny-Paola
Gaitán-Angulo, Mercedes
Vásquez, Carmen
Torres Samuel, Maritza
Viloria Silva, Amelec Jesus
dc.subject.spa.fl_str_mv ResearchGate
Universities
Google scholar
Academic assessment
Webometrics
topic ResearchGate
Universities
Google scholar
Academic assessment
Webometrics
description This 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 significant
publishDate 2019
dc.date.accessioned.none.fl_str_mv 2019-08-31T03:08:40Z
dc.date.available.none.fl_str_mv 2019-08-31T03:08:40Z
dc.date.issued.none.fl_str_mv 2019-07-26
dc.type.spa.fl_str_mv Pre-Publicación
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dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
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dc.language.iso.none.fl_str_mv eng
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dc.relation.references.spa.fl_str_mv 1. ReseachGate the network for science and research (2018). https://solutions.researchgate.net/ 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). https://doi.org/10. 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). https://doi.org/10.1007/978-3-319- 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). https://doi.org/10.1007/978-3-319-93803-5_26 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). https://doi.org/10.4038/jula.v21i1.7908 12. Jati, H.: University webometrics ranking using multicriteria decision analysis: entropy and TOPSIS method. Soc. Sci. 13(3), 763–765 (2018). http://docsdrive.com/pdfs/ 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. webometrics.info/en/About_Us
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spelling Henao-Rodríguez, CarolinaLis-Gutiérrez, Jenny-PaolaGaitán-Angulo, MercedesVásquez, CarmenTorres Samuel, MaritzaViloria Silva, Amelec Jesus2019-08-31T03:08:40Z2019-08-31T03:08:40Z2019-07-261865-0929https://hdl.handle.net/11323/5226Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This 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 significantCorporación Universitaria Minuto de Dios, Fundación Universitaria Konrad Lorenz, Universidad Nacional Experimental Politécnica, Universidad Centroccidental “Lisandro Alvarado, Universidad de la Costa.Henao-Rodríguez, CarolinaLis-Gutiérrez, Jenny-PaolaGaitán-Angulo, MercedesVásquez, CarmenTorres Samuel, MaritzaViloria Silva, Amelec JesusengCommunications in Computer and Information Sciencehttps://doi.org/10.1007/978-981-32-9563-6_331. ReseachGate the network for science and research (2018). https://solutions.researchgate.net/ 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). https://doi.org/10. 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). https://doi.org/10.1007/978-3-319- 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). https://doi.org/10.1007/978-3-319-93803-5_26 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). https://doi.org/10.4038/jula.v21i1.7908 12. Jati, H.: University webometrics ranking using multicriteria decision analysis: entropy and TOPSIS method. Soc. Sci. 13(3), 763–765 (2018). http://docsdrive.com/pdfs/ 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. webometrics.info/en/About_UsAttribution-NonCommercial-ShareAlike 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2ResearchGateUniversitiesGoogle scholarAcademic assessmentWebometricsDeterminants of researchgate (rg) score for the top 100 of Latin American universities at webometricsPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALDeterminants of ResearchGate (RG) Score.pdfDeterminants of ResearchGate (RG) Score.pdfapplication/pdf284773https://repositorio.cuc.edu.co/bitstreams/73136f57-005f-4d8f-a150-3b94cc623767/download1f966a20c6d520f341d1c715ab5d5befMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-81031https://repositorio.cuc.edu.co/bitstreams/a9f9fc1f-4781-4ba8-9c07-c420251f7680/download934f4ca17e109e0a05eaeaba504d7ce4MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/ae4360ad-c907-459e-9e99-a5053ae40216/download8a4605be74aa9ea9d79846c1fba20a33MD53THUMBNAILDeterminants of ResearchGate (RG) Score.pdf.jpgDeterminants of ResearchGate (RG) Score.pdf.jpgimage/jpeg37326https://repositorio.cuc.edu.co/bitstreams/9c24f395-a1d1-4647-b157-d9d3afeb2f5c/download02f14c1c191f572c0d162caa913b2f07MD55TEXTDeterminants of ResearchGate (RG) Score.pdf.txtDeterminants of ResearchGate (RG) Score.pdf.txttext/plain21006https://repositorio.cuc.edu.co/bitstreams/7e8c9bcc-836a-46a2-afb7-cbc967a69179/download233538d172552c66b497d78a3019ee61MD5611323/5226oai:repositorio.cuc.edu.co:11323/52262024-09-17 10:19:06.16http://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.coTk9URTogUExBQ0UgWU9VUiBPV04gTElDRU5TRSBIRVJFClRoaXMgc2FtcGxlIGxpY2Vuc2UgaXMgcHJvdmlkZWQgZm9yIGluZm9ybWF0aW9uYWwgcHVycG9zZXMgb25seS4KCk5PTi1FWENMVVNJVkUgRElTVFJJQlVUSU9OIExJQ0VOU0UKCkJ5IHNpZ25pbmcgYW5kIHN1Ym1pdHRpbmcgdGhpcyBsaWNlbnNlLCB5b3UgKHRoZSBhdXRob3Iocykgb3IgY29weXJpZ2h0Cm93bmVyKSBncmFudHMgdG8gRFNwYWNlIFVuaXZlcnNpdHkgKERTVSkgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgdG8gcmVwcm9kdWNlLAp0cmFuc2xhdGUgKGFzIGRlZmluZWQgYmVsb3cpLCBhbmQvb3IgZGlzdHJpYnV0ZSB5b3VyIHN1Ym1pc3Npb24gKGluY2x1ZGluZwp0aGUgYWJzdHJhY3QpIHdvcmxkd2lkZSBpbiBwcmludCBhbmQgZWxlY3Ryb25pYyBmb3JtYXQgYW5kIGluIGFueSBtZWRpdW0sCmluY2x1ZGluZyBidXQgbm90IGxpbWl0ZWQgdG8gYXVkaW8gb3IgdmlkZW8uCgpZb3UgYWdyZWUgdGhhdCBEU1UgbWF5LCB3aXRob3V0IGNoYW5naW5nIHRoZSBjb250ZW50LCB0cmFuc2xhdGUgdGhlCnN1Ym1pc3Npb24gdG8gYW55IG1lZGl1bSBvciBmb3JtYXQgZm9yIHRoZSBwdXJwb3NlIG9mIHByZXNlcnZhdGlvbi4KCllvdSBhbHNvIGFncmVlIHRoYXQgRFNVIG1heSBrZWVwIG1vcmUgdGhhbiBvbmUgY29weSBvZiB0aGlzIHN1Ym1pc3Npb24gZm9yCnB1cnBvc2VzIG9mIHNlY3VyaXR5LCBiYWNrLXVwIGFuZCBwcmVzZXJ2YXRpb24uCgpZb3UgcmVwcmVzZW50IHRoYXQgdGhlIHN1Ym1pc3Npb24gaXMgeW91ciBvcmlnaW5hbCB3b3JrLCBhbmQgdGhhdCB5b3UgaGF2ZQp0aGUgcmlnaHQgdG8gZ3JhbnQgdGhlIHJpZ2h0cyBjb250YWluZWQgaW4gdGhpcyBsaWNlbnNlLiBZb3UgYWxzbyByZXByZXNlbnQKdGhhdCB5b3VyIHN1Ym1pc3Npb24gZG9lcyBub3QsIHRvIHRoZSBiZXN0IG9mIHlvdXIga25vd2xlZGdlLCBpbmZyaW5nZSB1cG9uCmFueW9uZSdzIGNvcHlyaWdodC4KCklmIHRoZSBzdWJtaXNzaW9uIGNvbnRhaW5zIG1hdGVyaWFsIGZvciB3aGljaCB5b3UgZG8gbm90IGhvbGQgY29weXJpZ2h0LAp5b3UgcmVwcmVzZW50IHRoYXQgeW91IGhhdmUgb2J0YWluZWQgdGhlIHVucmVzdHJpY3RlZCBwZXJtaXNzaW9uIG9mIHRoZQpjb3B5cmlnaHQgb3duZXIgdG8gZ3JhbnQgRFNVIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdApzdWNoIHRoaXJkLXBhcnR5IG93bmVkIG1hdGVyaWFsIGlzIGNsZWFybHkgaWRlbnRpZmllZCBhbmQgYWNrbm93bGVkZ2VkCndpdGhpbiB0aGUgdGV4dCBvciBjb250ZW50IG9mIHRoZSBzdWJtaXNzaW9uLgoKSUYgVEhFIFNVQk1JU1NJT04gSVMgQkFTRUQgVVBPTiBXT1JLIFRIQVQgSEFTIEJFRU4gU1BPTlNPUkVEIE9SIFNVUFBPUlRFRApCWSBBTiBBR0VOQ1kgT1IgT1JHQU5JWkFUSU9OIE9USEVSIFRIQU4gRFNVLCBZT1UgUkVQUkVTRU5UIFRIQVQgWU9VIEhBVkUKRlVMRklMTEVEIEFOWSBSSUdIVCBPRiBSRVZJRVcgT1IgT1RIRVIgT0JMSUdBVElPTlMgUkVRVUlSRUQgQlkgU1VDSApDT05UUkFDVCBPUiBBR1JFRU1FTlQuCgpEU1Ugd2lsbCBjbGVhcmx5IGlkZW50aWZ5IHlvdXIgbmFtZShzKSBhcyB0aGUgYXV0aG9yKHMpIG9yIG93bmVyKHMpIG9mIHRoZQpzdWJtaXNzaW9uLCBhbmQgd2lsbCBub3QgbWFrZSBhbnkgYWx0ZXJhdGlvbiwgb3RoZXIgdGhhbiBhcyBhbGxvd2VkIGJ5IHRoaXMKbGljZW5zZSwgdG8geW91ciBzdWJtaXNzaW9uLgo=

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