Determinants of researchgate (rg) score for the top 100 of Latin American universities at webometrics
Pre-Publicación
2019-07-26
Communications in Computer and Information Science
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
- Artículos científicos [3120]
Descripción:
Determinants of ResearchGate (RG) Score.pdf
Título: Determinants of ResearchGate (RG) Score.pdf
Tamaño: 278.0Kb
PDFLEER EN FLIP
Título: Determinants of ResearchGate (RG) Score.pdf
Tamaño: 278.0Kb
PDFLEER EN FLIP
Os arquivos de licença a seguir estão associados a este item: