Citation and Similarity in Academic Texts: Colombian Engineering Case

Aguilera-Prado, Marco; Salcedo, Octavio; Fernández, Eduardo Avendaño

doi:10.2478/cait-2022-0006

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.

References

1. Gregorio, O. Análisis bibliométrico y de calidad de la revista Signo y Pensamiento. – Signo y Pensamiento, Vol. 50, 2007, No xxvi, pp. 22-32.
Search in Google Scholar Back to article
2. Rivera-Garzón, D. M. Caracterización de la comunidad científica de Psicología que publica en la revista Universitas Psychologica (2002-2008). – Universitas Psychologica, Vol. 7, 2008, No 3, pp. 917-932.
Search in Google Scholar Back to article
3. Suárez, J. O. Análisis bibliométrico de la revista Infectio, 1995 a 2011. – Infectio, Vol. 16, 2012, No 3, pp. 166-172.10.1016/S0123-9392(12)70007-3
Search in Google Scholar Back to article
4. Rincon, H., G. Valencia, J. Cárdernas. Colombia’s Contribution to the Use of Biogas from Solid Waste: A Bibliometric Analysis. – Contemporary Engineering Sciences, Vol. 11, 2018, No 78, pp. 3873-3882.10.12988/ces.2018.87342
Search in Google Scholar Back to article
5. Rojas-Sola, J. I., C. De San-Antonio-Gómez. Análisis bibliométrico de las publicaciones científicas colombiana en la categoría engineering, multidisciplinary de la base de datos Web of Science (1997-2009). – Dyna, Vol. 77, 2010, No 164, pp. 9-17.
Search in Google Scholar Back to article
6. Aguilera-Prado, M., C. Aguirre, O. Salcedo. Approach to Citation Determinants of Articles from Colombian Engineering Journals in Scopus. – Contemporary Engineering Sciences, Vol. 10, 2017, No 26, pp. 1279-1286.10.12988/ces.2017.710150
Search in Google Scholar Back to article
7. Tahamtan, I., A. Safipour Afshar, K. Ahamdzadeh. Factors Affecting Number of Citations: A Comprehensive Review of the Literature. – Scientometrics, Vol. 107, 2016, pp. 1195-1225.10.1007/s11192-016-1889-2
Search in Google Scholar Back to article
8. Mingers, J., L. Leysderdoff. A Review of Theory and Practice in Scientometrics. – European Journal of Operational Research, Vol. 246, 2015, pp. 1-19.10.1016/j.ejor.2015.04.002
Search in Google Scholar Back to article
9. Chen, L., A. Baird, D. Straub. An Analysis of the Evolving Intellectual Structure of Health Information Systems Research in the Information Systems Discipline. – Journal of the Association for Information Systems, Vol. 20, 2019, No 8, pp. 1023-1074.10.17705/1jais.00561
Search in Google Scholar Back to article
10. Yang, J., J. Ward, E. Gharavi, J. Dawson, R. Alvarado. Bi-Directional Relevance Matching between Medical Corpora. – In: Proc. of 2019 Systems and Information Engineering Design Symposium (SIEDS’19), 2019, pp. 1-6.10.1109/SIEDS.2019.8735639
Search in Google Scholar Back to article
11. Boyack, K. W., D. Newman, R. J. Duhon, R. Klavans, M. Patek, J. R. Biberstine, B. Schijvenaars, A. Skupin, N. Ma, K. Börner. Clustering More than Two Million Biomedical Publications: Comparing the Accuracies of Nine Text-Based Similarity Approaches. – PLOS One, Vol. 6, 2011, No 3, pp. 1-11.10.1371/journal.pone.0018029306009721437291
Search in Google Scholar Back to article
12. Kulkarni, S., U. Apte, N. Evangelopoulos. The Use of Latent Semantic Analysis in Operations Management Research. – Decision Sciences, Vol. 45, 2014, No 5, pp. 971-994.10.1111/deci.12095
Search in Google Scholar Back to article
13. Landauer, T. K., S. T. Dumais. A Solution to Plato’s Problem: The Latent Semantic Analysis Theory. – Psychological Review, Vol. 104, 1997, No 2, pp. 211-240.10.1037/0033-295X.104.2.211
Search in Google Scholar Back to article
14. Gutiérrez, M. R. Análisis Semántico Latente: ¿Teoría psicológica del significado?. – Signos, Vol. 38, 2005, No 9, pp. 303-323.
Search in Google Scholar Back to article
15. Deerwester, S., S. T. Dumais, G. W. Furnas, T. K. Landauer, R. Harshman. Indexing by Latent Semantic Analysis. – Journal of American Society for Information Science, Vol. 41, 1990, No 6, pp. 391-407.10.1002/(SICI)1097-4571(199009)41:6<391::AID-ASI1>3.0.CO;2-9
Search in Google Scholar Back to article
16. Berry, M. W., S. T. Dumais, G. W. O’Brien. Using Linear Algebra for Intelligent Information Retrieval. – SIAM Review, Vol. 37, No 4, 1995, pp. 573-595.10.1137/1037127
Search in Google Scholar Back to article
17. Schwartz, C. Lsemantica: A Command for Text Similarity Based on Latent Semantic Analysis. – The Stata Journal, Vol. 19, 2019, No 1, pp. 129-142.10.1177/1536867X19830910
Search in Google Scholar Back to article

Citation and Similarity in Academic Texts: Colombian Engineering Case

Abstract

Paradigm

My account