Predicting the Utility of Scientific Articles for Emerging Pandemics Using their Titles and Natural Language Processing.

Not all scientific publications are equally useful to policymakers tasked with mitigating the spread and impact of diseases, especially at the start of novel epidemics and pandemics. The urgent need for actionable, evidence-based information is paramount, but the nature of preprint and peer-reviewed articles published during these times is often at odds with such goals. For example, a lack of novel results and a focus on opinions rather than evidence were common in COVID-19 publications at the start of the pandemic in 2019. This work demonstrates that it is possible to judge the utility of these articles, from a public health policy-making perspective, based on their title and/or abstracts alone, using deep Natural Language Processing (NLP) models. These models were evaluated against expert-curated COVID-19 evidence to measure their real-world feasibility at screening these scientific publications in an automated manner. Such models can be used by public health experts to triage and filter the hundreds of new daily publications on novel diseases such as COVID-19 at the start of pandemics.

New Challenges in Scientific Publications: Referencing, Artificial Intelligence and ChatGPT.

The COVID-19 pandemic has led to a surge in scientific publications, some of which have bypassed the usual peer-review processes, leading to an increase in unsupported claims being referenced. Therefore, the need for references in scientific articles is increasingly being questioned. The practice of relying solely on quantitative measures, such as impact factor, is also considered inadequate by many experts. This can lead to researchers choosing research ideas that are likely to generate favourable metrics instead of interesting and important topics. Evaluating the quality and scientific value of articles requires a rethinking of current approaches, with a move away from purely quantitative methods. Artificial intelligence (AI)-based tools are making scientific writing easier and less time-consuming, which is likely to further increase the number of scientific publications, potentially leading to higher quality articles. AI tools for searching, analysing, synthesizing, evaluating and writing scientific literature are increasingly being developed. These tools deeply analyse the content of articles, consider their scientific impact, and prioritize the retrieved literature based on this information, presenting it in simple visual graphs. They also help authors to quickly and easily analyse and synthesize knowledge from the literature, prepare summaries of key information, aid in organizing references, and improve manuscript language. The language model ChatGPT has already greatly changed the way people communicate with computers, bringing it closer to human communication. However, while AI tools are helpful, they must be used carefully and ethically. In summary, AI has already changed the way we write articles, and its use in scientific publishing will continue to enhance and streamline the process.

The role of using ChatGPT AI in writing medical scientific articles.

The use of artificial intelligence (AI) in medical research is on the rise. This article explores the role of using ChatGPT, a language model developed by OpenAI, in writing medical scientific articles. The material and methods used included a comparative analysis of medical scientific articles produced with and without the use of ChatGPT. The results suggest that the use of ChatGPT can be a useful tool for scientists to increase the production of higher quality medical scientific articles, but it is important to note that AI cannot fully replace human authors. In conclusion, scientists should consider ChatGPT as an additional tool to produce higher quality medical scientific articles more quickly.

Toward Sourdough Microbiome Data: A Review of Science and Patents.

Technological prospecting was performed on documents related to sourdough microbiota using SCOPUS, Web of Science, Google Scholar, Espacenet and Patent Inspiration databases. Scientific articles and patents were analyzed based on three different perspectives: macro (year of publication, country, and institutions), meso (categorization as different taxonomies according to the subject evaluated), and micro (in-depth analysis of the main taxonomies, gathering the documents in subcategories). The main subject addressed in patents was the starter and product preparation, while 58.8% of the scientific publications focused on sourdough starter microbiota (identification and selection of microorganisms). Most patents were granted to companies (45.9%), followed by independent inventors (26.4%) and universities (21.8%). Sourdough products are in the spotlight when the subject is the bakery market; however, a closer integration between academia and industry is needed. Such a collaboration could generate a positive impact on the sourdough market in terms of innovation, providing a bread with a better nutritional and sensory quality for all consumers. Moreover, sourdough creates a new magnitude of flavor and texture in gastronomy, providing new functional products or increasing the quality of traditional ones.

Bioactive Natural Products for Chemical Control of Microorganisms: Scientific Prospecting (2001-2021) and Systematic Review.

The inappropriate use of synthetic antibiotics has become a global public health problem. Therefore, the study of new alternatives for the treatment of infectious diseases is relevant and natural bioactive products are on the rise. This study conducted a scientific prospection of bioactive natural products with promising applications in the chemical control of microorganisms. A systematic review of the most recent articles was performed according to the following three steps: (i) eligibility assessment, (ii) screening, and (iii) inclusion of articles and information extraction. There has been an increase in the number of scientific publications on bioactive natural products for microbial control in the CAPES and SciELO databases (2001-2021). Seventeen relevant articles were included, most of which focused on extracts. Ascorbic acid, chlorogenic acid, chrysin, and quercetin were the most cited compounds. Natural products were shown to be effective in inhibiting more than 30 microorganisms. A discussion was presented on the research trends.

Análisis temático desde el Observatorio Métrico de Coronavirus de las investigaciones publicadas en PubMed / Thematic analysis from the Coronavirus Metric Observatory of the research published in PubMed

La experiencia científica de los últimos meses contra la pandemia de la COVID-19 muestra una celeridad nunca vista, así mismo, es inédita la velocidad en la publicación de los resultados de tales investigaciones. El contexto revela la carrera sostenida que tiene la ciencia contra la expansión de este letal virus. En el presente estudio se documentan evidencias bibliográficas para reconocer a PubMed como uno de los principales recursos de información científica sobre medicina que existen en el mundo. Es una necesidad del gremio científico médico e investigativo en el contexto de la COVID-19 conocer las temáticas que abordan los principales artículos de la base de datos. El objetivo de esta investigación es analizar el comportamiento temático de los artículos publicados por PubMed sobre coronavirus en el primer semestre del año 2020 utilizando como herramienta de análisis al Observatorio Métrico de Coronavirus de la Universidad de Pinar del Río. El interés científico del estudio se concentra en las variables materia, MeSH y palabras clave; las que son analizadas con diferentes técnicas métricas que facilitan la visualización e interpretación de los resultados. Se demostró que PubMed, entre los temas más recurrentes, ha socializado investigaciones en virología, microbiología, farmacéutica, medicina general integral y sus relaciones con la oncología, neurología, pediatría, psicología, psiquiatría, oftalmología, nutrición, telemedicina y dispositivos médicos(AU)

The scientific experience of recent months against the COVID-19 pandemic shows a speed never seen before, likewise, the speed in the publication of the results of such investigations is unprecedented. The context reveals the sustained race in science against the spread of this deadly virus. In this study, bibliographic evidence is documented to recognize PubMed as one of the main sources of scientific information on medicine that exist in the world. In the context of COVID-19, it is a necessity for the scientific, medical and research union to know the issues addressed by the main articles in the database. The objective of this research is to analyze the thematic behavior of the articles published by PubMed on coronavirus in the first half of 2020, using the Coronavirus Metric Observatory of the University of Pinar del Río as an analysis tool. The scientific interest of the study is concentrated in the variables subject, MeSH and keywords; those that are analyzed with different metric techniques that facilitate the visualization and interpretation of the results. It was shown that PubMed, among the most recurrent topics, has socialized research in virology, microbiology, pharmaceuticals, comprehensive general medicine and their relationships with oncology, neurology, pediatrics, psychology, psychiatry, ophthalmology, nutrition, telemedicine and medical devices(AU)

Las investigaciones biomédicas y los reportes de caso realizados en la Caja Costarricense de Seguro Social requieren autorización para su publicación científica / Biomedical investigations and case reports carried out at the Caja Costarricense de Seguro Social require authorization for scientific publication

Resumen Objetivo: La mayoría de colaboraciones recibidas para su publicación en Acta Médica Costarricense surgen de las investigaciones realizadas en la Caja Costarricense de Seguro Social, estas cumplen con las disposiciones que establece la ley sobre investigación biomédica y su reglamento, así como con la diversa normativa que tiene esta institución sanitaria. En el contexto de la revisión constante y actualización periódica de normas para la publicación en esta revista, el objetivo de este trabajo fue analizar los requerimientos vigentes en la Caja Costarricense de Seguro Social para la publicación de las investigaciones biomédicas realizadas en sus servicios. Métodos: Se realizó una investigación documental con una búsqueda dirigida sobre tales disposiciones en la página oficial del Centro de Desarrollo Estratégico e Información en Salud y Seguridad Social; el análisis se amplió con los elementos regulatorios del consentimiento informado. Resultados: Se encontró que los investigadores deben solicitar una autorización al área de Bioética del Centro de Desarrollo Estratégico e Información en Salud y Seguridad Social para publicar, o comunicar en actividades científicas las investigaciones biomédicas que han sido realizadas en la institución; así mismo se estipula la gestión para dar a conocer los reportes de casos y la solicitud se tramita con el cumplimiento de una serie de requisitos. Conclusión: Las investigaciones biomédicas realizadas en la Caja Costarricense de Seguro Social requieren la solicitud de una autorización y el cumplimiento de una serie de requisitos para la publicación en la bibliografía científica o su exposición en una actividad científica, al igual que los reportes de caso. Es por tanto, necesario que el/los investigador/es gestionen oportunamente la autorización institucional.

Abstract Aim: Most of the contributions received for publication in this journal arise from the investigations carried out by the Caja Costarricense de Seguro Social, these comply with the provisions established by the law on biomedical research and its regulations, as well as with the various regulations that it has this health institution. In the context of the constant review and periodic updating of standards for publication in this journal, the objective of this work was to analyze the current requirements in the Caja Costarricense de Seguro Social for the publication of biomedical research carried out in its services. Methods: A documentary investigation was conducted with a directed search about regulations was made on the official website of the Centro de Desarrollo Estratégico e Información en Salud y Seguridad Social; information was compiled and analyzed, then prepared for orderly display; the analysis was extended with the regulatory elements of informed consent. Results: It was found that researchers must request an authorization from the Bioethics area to publish, or communicate in scientific activities, the biomedical research that has been carried out in the institution. Likewise, the management to publicize the case reports is stipulated and the request is processed with the fulfillment of a series of requirements. Conclusion: The authorization request and the requirements apply to biomedical research and case reports, whether a publication is sought in the scientific literature or its exposure in a scientific activity; therefore, it is the responsibility of the researcher to manage the institutional authorization in a timely manner.

Using the contextual language model BERT for multi-criteria classification of scientific articles.

BACKGROUND: Finding specific scientific articles in a large collection is an important natural language processing challenge in the biomedical domain. Systematic reviews and interactive article search are the type of downstream applications that benefit from addressing this problem. The task often involves screening articles for a combination of selection criteria. While machine learning was previously used for this purpose, it is not known if different criteria should be modeled together or separately in an ensemble model. The performance impact of the modern contextual language models on the task is also not known. METHODS: We framed the problem as text classification and conducted experiments to compare ensemble architectures, where the selection criteria were mapped to the components of the ensemble. We proposed a novel cascade ensemble analogous to the step-wise screening process employed in developing the gold standard. We compared performance of the ensembles with a single integrated model, which we refer to as the individual task learner (ITL). We used SciBERT, a variant of BERT pre-trained on scientific articles, and conducted experiments using a manually annotated dataset of ~49 K MEDLINE abstracts, known as Clinical Hedges. RESULTS: The cascade ensemble had significantly higher precision (0.663 vs. 0.388 vs. 0.478 vs. 0.320) and F measure (0.753 vs. 0.553 vs. 0.628 vs. 0.477) than ITL and ensembles using Boolean logic and a feed-forward network. However, ITL had significantly higher recall than the other classifiers (0.965 vs. 0.872 vs. 0.917 vs. 0.944). In fixed high recall studies, ITL achieved 0.509 precision @ 0.970 recall and 0.381 precision @ 0.985 recall on a subset that was studied earlier, and 0.295 precision @ 0.985 recall on the full dataset, all of which were improvements over the previous studies. CONCLUSION: Pre-trained neural contextual language models (e.g. SciBERT) performed well for screening scientific articles. Performance at high fixed recall makes the single integrated model (ITL) more suitable among the architectures considered here, for systematic reviews. However, high F measure of the cascade ensemble makes it a better approach for interactive search applications. The effectiveness of the cascade ensemble architecture suggests broader applicability beyond this task and the dataset, and the approach is analogous to query optimization in Information Retrieval and query optimization in databases.

Pitfalls in scientific research: critical appraisal of articles published in one of the international journals in Egypt.

BACKGROUND: To identify and report flaws of Internet-published articles in the Journal of the Egyptian National Cancer Institute (JENCI), Cairo University, through a retrospective documentary study on articles published during the period from 2011 to 2016. All sections were reviewed against a collective checklist. Articles were grouped by publication year into 2 intervals: early (from 2011 to 2013) and recent (from 2014 to 2016) to identify changes in study characteristics over time. RESULTS: The study included 139 original articles. Half of the titles represented aim and 9.4% represented study design. Abstracts were concise, clear, with structured writing format in 98.6%, 93.5%, and 35.3%, respectively. Most introductions included the study aim, while 41% had a rationale. Study timing was reported in 59.0%, while the study design was reported in 25.9%. Inclusion and exclusion criteria were clearly reported in 43.1% and 40.1%, respectively. Statistical methods were mentioned in 80.6%, complete in 30.4%, and appropriate in 85.7%. Four studies reported sample size estimation. Only 52.5% and 58.3% of results were exhaustive and answer the research question, respectively. Incorrect statistical calculations occurred in 41.0%, inappropriate statistical tests or descriptive parameter selection in 26.6%, while inappropriate test application occurred in 49.1%. About 60% of discussions did not completely cover results, 31.7% fully justified the findings, 56.1% followed a logical flow, and 36.7% had contradiction within the text. Conclusions were mostly linked to aim, imprecise, and extrapolating beyond results. On comparing both periods, only a significant less misuse of statistical terms, more reporting conflict of interest, more missing references for cited texts in the recent period, and more participation of NCI over other institutes in the early period were found. CONCLUSION: Articles published in JENCI (from 2011 to 2016) had many methodological and reporting defects and some points of strength. Using the collective checklist developed by this study, continuous training of researchers, involving epidemiologists throughout the whole research process, and applying strict journal reporting and publication rules should be encouraged.

Observatorio Métrico de Coronavirus de la Universidad de Pinar del Río, Cuba / Coronavirus Metric Observatory of the University of Pinar del Río, Cuba

El recurso más finito de un científico hoy es el tiempo. Un minuto sin una vacuna específica, un tratamiento adecuado o un protocolo seguro significa miles de muertes. A partir de esta necesidad, la presente investigación tuvo como objetivo caracterizar las funcionalidades del Observatorio Métrico de Coronavirus desarrollado por la Universidad de Pinar del Río Hermanos Saíz Montes de Oca como herramienta para el monitoreo, la compilación, el análisis y la visualización de la información procedente de artículos científicos arbitrados y de patentes de invención registradas en bases de datos internacionales sobre Coronavirus. Para su desarrollo se utilizaron diferentes métodos y procedimientos que permitieron, de conjunto con la tecnología aplicada y los indicadores métricos definidos, disponer de una plataforma dinámica que reduce significativamente los tiempos de búsqueda e interpretación de la información relevante sobre el dominio científico y tecnológico Coronavirus, lo que supone ser también un aporte oportuno y valioso que contribuye a la búsqueda de soluciones ante esta letal pandemia. Este Observatorio es un espacio de transformación de la información en conocimiento para la acción investigativa y la toma de decisiones. Es un resultado científico que contribuye al encadenamiento de la Academia con el sector investigativo y productivo de la Biotecnología en el país, conducido por los intereses y prioridades del Gobierno al servicio de toda la sociedad cubana(AU)

The finest resource for a scientist today is time. One minute without a specific vaccine, proper treatment, or a safe protocol means thousands of deaths. Based on this need, this research aims to show the functionalities of the Coronavirus Metric Observatory developed by the Pinar del Río University Hermanos Saíz Montes de Oca as a tool that allows the monitoring, compilation, analysis and visualization of information from peer-reviewed scientific papers and invention patents registered in international databases on Coronavirus. For its development, different methods and procedures were used that, together with the applied technology and the defined metric indicators, made it possible to have a dynamic platform that significantly reduces the search and interpretation times for relevant information on the scientific and technological domain Coronavirus. Having a dynamic platform that significantly reduces the time for analysis and interpretation of relevant information is also a timely and valuable contribution that contributes to the search for solutions to this deadly pandemic. This Observatory is a space for transforming information into knowledge for action. It is a scientific result that contributes to linking the Academy with the research and productive sector of Biotechnology in the country, driven by the interests and priorities of the Government at the service of all Cuban society(AU)

Questions asked through two examples of dilemmas of publication ethics in the process of COVID-19.

The COVID-19 pandemic is a kind of global disaster caused by the new coronavirus-19, the SARS-CoV-2 virus. Since the first eruption of this pandemic, which adversely affected the world in many ways, a large number of publications have been presented to the world of science. In this article, possible publication ethical dilemmas related to scientific articles increasing in number during the COVID-19 pandemic were tried to be reminded through two examples of articles.

How to Write a Successful Article.

In this report, several issues relevant to scientific publishing in the field of medical imaging are described. How the quality of the research in medical imaging is evaluated is presented as well. The need for journals and the role of current metrics to judge the quality of articles and journals are discussed. Several recommendations are given to aspiring authors on how to write scientific articles in this field to help them optimize their chances of having their articles accepted. Recommendations on how to effectively deal with the review process and how to properly communicate with scientific journals are offered in order to facilitate authors' interaction with reviewers and editors of the journals in the field.

Desafios da editoração de revistas científicas brasileiras da área da saúde / Challenges for publishing Brazilian scientific health journals

Resumo O artigo visa trazer ao conhecimento dos leitores e potenciais autores parte da problemática vivida pelos editores científicos das revistas da área de saúde pública. São discutidos aspectos críticos, destacando as expectativas de autores, leitores, editores e editoras; e, resultados de pesquisas empíricas relativa aos preditores de publicação, estudos de tipos e qualidade da revisão por pares, características formais do processo de editoração, o processo de trabalho de duas revistas nacionais e uma estrangeira, questões éticas envolvendo autores e editores, dificuldades da editoração de revistas brasileiras de Saúde Coletiva e o futuro das publicações no modelo do acesso aberto.

Abstract The article aims to bring to the attention of readers and potential authors some aspects of the difficulties faced by scientific editors of Public Health journals. It discusses critical aspects, highlighting the expectations of authors, readers, editors and publishers; and presents results of empirical studies on publishing predictors, types and quality of peer review, formal characteristics of the publishing process, the working process of two Brazilian and one foreign Public Health journal, ethical issues involving authors and editors, specific editorial challenges faced by Brazilian Public Health journals, and the future of publications in the open access model scenario.

A retrospective analysis of radiation oncology related scientific articles in the journal Veterinary Radiology and Ultrasound: Trends over 40 years (1976-2015).

The journal Veterinary Radiology & Ultrasound is a veterinary specialty journal devoted to the fields of veterinary diagnostic imaging and radiation oncology. The purpose of this retrospective, observational study is to evaluate progressive trends in radiation oncology articles published in Veterinary Radiology & Ultrasound during the 40-year period (1976-2015) and describe a shift of trends through several viewpoints. This 40-year period was divided into four subperiods: Period 1 (1976-1985), Period 2 (1986-1995), Period 3 (1996-2005), and Period 4 (2006-2015). These articles were divided into six categories based on the nature of the study: 1) studies related to teletherapy with endpoints being patient outcome, 2) radiation therapy dosimetry/planning, 3) patient setup, 4) reviews, 5) case reports, and 6) others. The number of radiation oncology articles in Veterinary Radiology & Ultrasound has increased over the 40-year period. The number of authors per article has increased between Periods 1 and 3. The number of articles related to linear accelerator has increased between Periods 3 and 4. The median number of treated patients per clinical article related to teletherapy ranged from 15 to 21, which has not changed significantly over the 40-year period. The most commonly used radiation therapy protocols during Periods 2 and 3 were fine-fractionated protocols (defined as 10 or more fractions), whereas coarse-fractionated protocols were more common during Periods 1 and 4. Findings from this study highlight the notable changes of trends in veterinary radiation oncology articles published in Veterinary Radiology & Ultrasound, which clearly reflect changes in the field of veterinary radiation oncology during the past 40 years.

Teaching metabolism with scientific articles: A new approach.

Scientific articles have been explored as a didactic resource in the teaching of Biochemistry, as well as in other areas of science. This teaching strategy contributes to the learning and understanding of specific concepts, and development of the skills, necessary for the research training of students. The present study investigated the use of scientific articles in the Topics in Metabolism course, which was offered to Biochemistry graduate students, at the University of São Paulo. Instead of lectures and seminars, two main activities were used: directed study (DS) and discussion groups (DG). Both utilized and explored high impact publications with a recognized quality of intellectual production. In this active learning environment, the objective was to evaluate the perception of the students regarding the teaching strategy, and the level of effort each student expended to understand the course material. Data collection involved using the responses to open and closed questions, from two questionnaires. Then the Pirouette software was employed to perform the Hierarchical Cluster Analysis (HCA). The results indicated that 78% of the students had a positive perception of the teaching strategy and struggled less to understand the course material. On the other hand, 22% of the students had a less positive perception of the strategy and displayed a less intense course engagement. Ultimately, the results presented in the present study indicate that the adoption of this teaching strategy can help graduate students to develop the ability to read critically and thoroughly understand scientific materials, which are fundamental skills for future researchers. © 2018 International Union of Biochemistry and Molecular Biology, 47(1):85-92, 2018.

The finer points of writing and refereeing scientific articles.

Writing scientific papers is a skill required by all haematologists. Many also need to be able to referee papers submitted to journals. These skills are not often formally taught and as a result may not be done well. We have reviewed published evidence of errors in these processes. Such errors may be ethical, scientific or linguistic, or may result from a lack of understanding of the processes. The objective of the review is, by highlighting errors, to help writers and referees to avoid them.

A produção científica sobre o cyberbullying: uma revisão bibliométrica / Scientific production on cyberbullying: a bibliometric review

O cyberbullying é um ato agressivo e intencional, realizado por um grupo ou por um indivíduo por meio de contatos eletrônicos. O presente artigo teve como objetivo realizar um levantamento bibliométrico sobre o tema, a partir de artigos acadêmico-científicos indexados em bases de dados. Foram selecionados trabalhos publicados entre 2008 e 2013. Após a aplicação dos critérios de exclusão, foram selecionados 63 artigos. Os resultados apontaram 2012 como o ano de maior produtividade nessa temática, além da Espanha e dos Estados Unidos como os países com o maior número de publicações. Os periódicos com maior quantidade de artigos publicados foram "School Psychology International" e "Computers in Human Behavior". Rosário Ortega-Ruiz, Peter Smith e Sheri Bauman aparecem como os autores mais produtivos. (AU)

Cyberbullying is an aggressive and intentional act performed by a group or an individual through electronic means. This paper aimed at conducting a bibliometric survey on the topic, based on academic and scientific articles indexed in databases. Articles published between 2008 and 2013 were selected. After applying the exclusion criteria, 63 articles were chosen. The results showed 2012 as the year of increased productivity in this theme, as well as Spain and the United States as the countries with the highest number of publications. The journals with the largest amount of articles were "School Psychology International" and "Computers in Human Behavior". Rosário Ortega-Ruiz, Peter Smith and Sheri Bauman were the most productive authors. (AU)

A produção científica sobre o cyberbullying: uma revisão bibliométrica / Scientific production on cyberbullying: a bibliometric review

O cyberbullying é um ato agressivo e intencional, realizado por um grupo ou por um indivíduo por meio de contatos eletrônicos. O presente artigo teve como objetivo realizar um levantamento bibliométrico sobre o tema, a partir de artigos acadêmico-científicos indexados em bases de dados. Foram selecionados trabalhos publicados entre 2008 e 2013. Após a aplicação dos critérios de exclusão, foram selecionados 63 artigos. Os resultados apontaram 2012 como o ano de maior produtividade nessa temática, além da Espanha e dos Estados Unidos como os países com o maior número de publicações. Os periódicos com maior quantidade de artigos publicados foram "School Psychology International" e "Computers in Human Behavior". Rosário Ortega-Ruiz, Peter Smith e Sheri Bauman aparecem como os autores mais produtivos.

Cyberbullying is an aggressive and intentional act performed by a group or an individual through electronic means. This paper aimed at conducting a bibliometric survey on the topic, based on academic and scientific articles indexed in databases. Articles published between 2008 and 2013 were selected. After applying the exclusion criteria, 63 articles were chosen. The results showed 2012 as the year of increased productivity in this theme, as well as Spain and the United States as the countries with the highest number of publications. The journals with the largest amount of articles were "School Psychology International" and "Computers in Human Behavior". Rosário Ortega-Ruiz, Peter Smith and Sheri Bauman were the most productive authors.

El dilema del editor de una revista biomédica: aceptar o no aceptar

Este conversatorio trata sobre el proceso de evaluación de los artículos científicos para su publicación en el área biomédica, destacando aspectos como integridad de la literatura científica, calidad en los datos, significación de la investigación, etc. Describe la experiencia del Brazilian Journal of Medical and Biological Research en la evaluación de la literatura científica.

This lecture discusses the evaluation process of scientific articles submitted for publication in the biomedical area, pointing to issues such as integrity of the scientific literature, quality of data, relevance of theresearch etc. It also describes the Brazilian Journal of Medical and Biological Research experience in the scientific literature evaluation.