<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This article provides the results of a citation determinants model for a set of academic engineering texts from Colombia. The model establishes the determinants of the probability that a text receives at least one citation through the relationship among previous citations, journal characteristics, the author and the text. Through a similarity matrix constructed by Latent Semantic Analysis (LSA), a similarity variable has been constructed to capture the fact that the texts have similar titles, abstracts and keywords to the most cited texts. The results show: i) joint significance of the variables selected to characterize the text; ii) direct relationship of the citation with similarity of keywords, published in an IEEE journal, research article, more than one author; and authored by at least one foreign author; and iii) inverse relationship between the probability of citation with the similarity of abstracts, published in 2016 or 2017, and published in a Colombian journal.</p>
</abstract>

This article provides the results of a citation determinants model for a set of academic engineering texts from Colombia. The model establishes the determinants of the probability that a text receives at least one citation through the relationship among previous citations, journal characteristics, the author and the text. Through a similarity matrix constructed by Latent Semantic Analysis (LSA), a similarity variable has been constructed to capture the fact that the texts have similar titles, abstracts and keywords to the most cited texts. The results show: i) joint significance of the variables selected to characterize the text; ii) direct relationship of the citation with similarity of keywords, published in an IEEE journal, research article, more than one author; and authored by at least one foreign author; and iii) inverse relationship between the probability of citation with the similarity of abstracts, published in 2016 or 2017, and published in a Colombian journal.

Citation and Similarity in Academic Texts: Colombian Engineering Case

Vice Rectorate for Research, Universitaria Agustiniana

Universidad Distrital Francisco José de Caldas

Universidad Pedagógica y Tecnológica de Colombia

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Citation and Similarity in Academic Texts: Colombian Engineering Case"}

This article provides the results of a citation determinants model for a set of academic engineering texts from Colombia. The model establishes the...

Citation and Similarity in Academic Texts: Colombian Engineering Case

Publié en ligne: 10 avr. 2022

Pages: 95 - 103

Reçu: 19 juin 2021

Accepté: 23 déc. 2021

DOI: https://doi.org/10.2478/cait-2022-0006

Mots clés
Latent semantic analysis, text similarity, citation determinants, bibliometrics

© 2022 Marco Aguilera-Prado et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Citation and Similarity in Academic Texts: Colombian Engineering Case

Publié en ligne: 10 avr. 2022

Pages: 95 - 103

Reçu: 19 juin 2021

Accepté: 23 déc. 2021

DOI: https://doi.org/10.2478/cait-2022-0006

Mots clésLatent semantic analysis, text similarity, citation determinants, bibliometrics

© 2022 Marco Aguilera-Prado et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
Latent semantic analysis, text similarity, citation determinants, bibliometrics