E-health can be defined as a set of technologies applied with the help of the internet, in which healthcare services are provided to improve quality of life and facilitate healthcare delivery. As there is a lack of similar studies on the topic, this analysis uses a systematic literature review of articles published from 2014 to 2019 to identify the most common e-health practices used worldwide, as well as the main services provided, diseases treated, and the associated technologies that assist in e-health practices. Some of the key results were the identification of the four most common practices used (mhealth or mobile health; telehealth or telemedicine; technology; and others) and the most widely used technologies associated with e-health (IoT, cloud computing, Big Data, security, and systems).

Sustainability has been discussed as a constant market concern, and to make it effectively an organizational practice, specific skills are needed. In that sense, the objective of this study is to analyze the relation between organizational competencies and the development of environmental, social, and governance (ESG) criteria in the industrial sector. A scientometric methodology was used to analyze the production of scientific research on the topic. To define the portfolio, a search was performed using the Methodi Ordinatio technique in the Science Direct, Scopus, and Web of Science databases using the terms “organizational competencies” or “environment, social and governance*” or “ESG” and “industry”. The study period was from the beginning of the database indexing until May 2021. The results indicate that the topic is relevant to the area of study due to the continuous growth of publications and global concern with ESG issues. In this sense, the industrial organizational competencies highlighted in the development of ESG include corporate social responsibility (CSR), and technical, managerial, and commercial competencies. The analysis demonstrates the positive relationship between organizational competencies and sustainable development, and the discussion is directed at the competencies that fortify ESG criteria and practices in industry.

This study assesses the retractions of scientific articles in engineering journals indexed on the Web of Science from 1945 to 2015. The data set was built based on documents containing the keywords retracted, retraction, withdrawal, or redress. We used database exploration techniques, including Structured Query Language and analysis of variance, for data analysis. We analyzed 238 retractions published by 117 journals. The most common reason for retraction was unethical research, and higher impact factors journals tended to publish more retractions. In conclusion, most of the analyzed retractions were the result of unethical research and were retracted by editors.

The objective of this study is to compare the quantity of citations that retracted and nonretracted articles received in engineering based on articles indexed in the Web of Science database and published between 1945 and 2015. For data analysis, the Statistical Package for the Social Sciences was used along with the Kolmogorov–Smirnov, Mann–Whitney, Tukey–Kramer tests and descriptive statistics. The data set included 238 retracted and 236 nonretracted articles, with the retracted articles cited 2,348 times and nonretracted articles cited 2,957 times. The results highlight that retraction does not end citation, thus threatening scientific credibility.

El propósito de este estudio es examinar el panorama contemporáneo de la publicación académica, con énfasis específico en la difusión y evaluación de la investigación académica y en las características de los artículos indexados en la base de datos Web of Science, en el marco temporal de 2017 a 2021, que no han sido citados o han sido citados con poca frecuencia. Se utilizó la estadística descriptiva para caracterizar la muestra según el campo de investigación. Se utilizó un método de regresión binomial negativa para estimar qué variables influyen en el número de citas recibidas por los artículos de la muestra. Encontramos que de los 256.524 artículos que componen el corpus de investigación, 39.469 (15,39%) no recibieron citas y 91.963 artículos (35,85%) recibieron hasta cuatro citas. Concluimos que las presiones de la productividad académica crean un círculo vicioso en el que los estudios son referenciados en función de su posición en la lucha por un espacio editorial privilegiado.