1. Scientific publications in cancer: in Latin America, strong scientific networks increase productivity (the TENJIN study).
- Author
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Ruiz-Patiño A, Cardona AF, Arrieta O, Rolfo C, Gómez HL, Raez LE, Lopes G, Zatarain-Barrón ZL, Ricaurte L, Zamudio-Molano N, Rangel V, Oviedo J, Solano MP, Rojas L, Corrales L, Martín C, Mas L, Cuello M, Barrón F, Otero J, Carranza H, Vargas C, and Rosell R
- Subjects
- Bibliometrics, Data Management, Efficiency, Humans, Incidence, Latin America epidemiology, Neoplasms epidemiology, Publications trends, Socioeconomic Factors, Abstracting and Indexing statistics & numerical data, Authorship standards, Peer Review, Research methods, Publications statistics & numerical data
- 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., (Copyright © 2020 Elsevier Inc. All rights reserved.)
- Published
- 2020
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