Scientific publications in cancer: in Latin America, strong scientific networks increase productivity (the TENJIN study)

AlejandroRuiz-Patiño^ab Andrés FelipeCardona^abc OscarArrieta^d ChristianRolfo^e Henry L.Gómez^f Luis E.Raez^g GilbertoLopes^h Zyanya LuciaZatarain-Barrón^d LuisaRicaurte^ai NatalyZamudio Molano^a ValentinaRangel^a JuanOviedo^a Maria PaulaSolano^a LeonardoRojas^bcj LuisCorrales^k ClaudioMartín^l LuisMas^f MauricioCuello^m RafaelRosellⁿ

Abstract

Objectives

The objectives of this study are to evaluate the relationship between authorship networking, socioeconomic factors, and scientific productivity across Latin America.

Methods

In a bibliometric analysis of cancer-related Latin-American publications, the relationship between authorship network indicators, sociodemographic factors, and number of peer-reviewed indexed publications per country was explored. A systematic review of the literature for cancer publications between 2000 and 2018 using the Scopus database limited to Latin-American authors was used for the construction of coauthorship and publication networks and their respective metrics. Sociodemographic variables including percentage of invested gross domestic product in research, population, and cancer incidence were also estimated. Multiple linear regression models were constructed to determine the relationship between productivity and the aforementioned variables.

Results

A total of 8,528 articles across nine countries were included. Brazil was the most productive nation with 41.8% of identified references followed by Mexico (16.6%) and Argentina (12.9%). Latin America experienced a 9% growth in number of publications across the studied time frame. After analyzing networking and sociodemographic variables, number of authors in a collaboration network and percentage of invested gross domestic product were associated with high productivity yielding a multiple regression model with an R2 value of 0.983.

Conclusions

This study indicates that extensive authorship networking and a high investment in research strongly predict cancer-related productivity.

Publication Date: October, 2020.

Original source of the article: https://www.sciencedirect.com/science/article/abs/pii/S0895435619306043