Producción Científica

 

 

The academic landscape has witnessed significant transformations in recent years, primarily attributed to advancements in IT tools, which have advantages and drawbacks in the world of publications. The transition from traditional university library searches to the digital era, with access to various information sources such as Pubmed, Scopus, Web of Science and Google Scholar, has revolutionized research practices. Thanks to technology, researchers, academics and students now enjoy rapid and vast information access, facilitating quicker manuscript preparation and boosting bibliometric parameters. To identify authors “self-distorted” bibliometric parameters, different indices following the Hirsch index (h-index) (based on citations) have been proposed. The new “fi-score” evaluates the reliability of citation counts for individual authors and validates the accuracy of their h-index, comparing the number of citations to the h-index value to highlight value that is not within the norm and probably influenced or distorted by authors themselves. It examines how authors’ citations impact their h-index, although they are not self-citing. The study calculated the fi-score on a sample of 194,983 researchers. It shows that the average value of the fi-score is 25.03 and that a maximum value admissible as good must not exceed 32. The fi-score complements existing indexes, shedding light on the actual scientific impact of researchers. In conclusion, bibliometric parameters have evolved significantly, offering valuable insights into researchers’ contributions. The fi-score emerges as a promising new metric, providing a more comprehensive and unbiased evaluation of scholarly impact. By accounting for the influence of citations and self-citations, the fi-score addresses the limitations of traditional indices, empowering academic communities to recognize better and acknowledge individual contributions.

 

 

There seems to be increasing interest in publication practices amongst philosophers of science, as they recognize the important role that publication plays in their professional lives and the responsibilities they have for maintaining some control over the process and practices.The increase in interest is manifested in two ways.First, philosophers of science are talking about publication practices more-practices such as open access, transformative journals, and predatory publishing-and they are talking about how these practices impact on our community, authors and readers.Recently, for example, David Teira, Chiara Lisciandra, and Sophia Cruwell organized an online conference on open access and transformative journals.The session included a roundtable discussion involving four editors of journals who serve the history and philosophy of science community, broadly conceived.The discussion made it clear that there are at least two ways of approaching this issue.On the one hand, the publishers have their plans about where journal publishing is going.And open access fits into their vision in a certain way.On the other hand, the various editors have their own ideas about the role of open access in the future of our profession.To be clear, the various editors involved were not all of one mind, nor did they share the same concerns and hopes.But concerns were expressed that the interests of the publishers may not always align with the interests of the community of researchers whose work is being published in these journals.A recent development that was not discussed at the conference, but one deserving the attention of philosophers of science, is the marked rise in predatory publishers.I will not name names, but each week I receive numerous invitations to publish in journals that promise very quick review times, and equally quick production times.So, if I were a scholar in need of a quick publication, say, in one month from now, the opportunities appear to be almost endless.How do I know these are predatory journals?The invitation letters often begin with something like “Dear Esteemed Scholar”, or they express an urgency that is quite foreign to the slow pace of the publication norms in philosophy.

 

 

Introduction: Bibliometrics measure the production and dissemination of scholarly scientific communication. It has been applied to analyze trends and research output in computer networking and communication. Objective: To examine the global academic publications on computer networks and communications within the Scopus database during the timeframe 2013-2022. Method: A descriptive observational bibliometric study was undertaken. Through the utilization of SciVal (Scopus), 1 260 446 documents were identified. The following variables were studied: number of documents (Ndoc), year of publication, annual variation rate (AVR) of the scholarly output, number of citations (Ncit), field-weighted citation impact (FWCI), type of document, author, institution, country, source, type of collaboration, subject area, and keyphrases. All data were sourced from SciVal. Results: A steady increase in global scientific production was observed, with a slight decline in 2020. The five-year period 2016-2020 concentrated the highest Ncit, but the highest Ncit per document, FWCI and top 1 % most cited documents corresponded to 2013. The scholarly output studied mainly consisted of conference papers (72,9 %). Zhu Han, the French National Centre for Scientific Research (CNRS), the United States and ACM International Conference Proceeding Series were, respectively, the most active author, institution, country, and source. More than 90 % of the documents had some form of collaboration. Computer Science and Engineering were the most recurrent subject areas. Conclusions: The study highlights a consistent global increase in scientific production, with distinct variations in citation metrics across years. The scholarly output was diverse in terms of document type. Collaboration, particularly international, played a pivotal role.

 

 

Los indicadores de citación pueden medir el impacto o la utilidad de resultados de investigación de un artículo científico, sin embargo, este uso puede ser controversial. Factores intrínsecos y extrínsecos influencian la citación de un artículo, sin mencionar que el comportamiento en las citaciones puede variar entre áreas temáticas, lo cual dificulta las comparaciones entre artículos y disciplinas. Entender que el contexto puede afectar un análisis de citas es esencial para interpretar adecuadamente los indicadores. Por esta razón, buscan reconocerse los factores que inciden en la citación de los artículos de las revistas biomédicas colombianas indexadas en Scopus a través del uso de algoritmos de Machine Learning. Con los algoritmos ‘Gradient Boosting Classifier’ y ‘Light Gradient Boosting Machine’ identificamos características de importancia como el índice h del primer y el último autor, acceso abierto, número de autores, palabras clave del artículo, además del número de páginas. Estas características fueron relevantes para el área de interés y pueden brindar un contexto para futuros análisis, considerando que lo relevante de un artículo no debería ser cuántas citaciones atrae, sino si este ayuda a llenar vacíos en el conocimiento.

 

 

Vertebrate palaeontology, essential for understanding the evolutionary processes of backboned animals, has witnessed substantial increase in research activity and publications over the past decade. This bibliometric analysis utilising the data from the DeepBone database, which includes 9,255 literature entries, with 8,259 overlapping entries from the Web of Science, to capture these changes. Our analysis reveals a continuous growth in publication volumes over the decade, alongside a marked expansion in interdisciplinary collaborations and the integration of innovative technological methodologies. The contribution of key regions such as the U.S.A., UK, Argentina, and China underscores the global collaboration in vertebrate palaeontology. The EU, despite its foundational economic and political union focus, stands out as a key contributor in vertebrate palaeontology, showing its extensive influence on scientific collaboration and research funding. A thematic exploration using keyword analysis and Latent Dirichlet Allocation (LDA) analysis identifies prominent research themes, highlighting the field’s towards integrated research approaches. This study offers a quantitative overview of the recent decade in vertebrate palaeontology, providing insights into dynamic trends, major contributions, and future research directions in the field.

 

 

Introduction: Alcohol’s effects on cardiovascular disease (CVD) are controversial. Alcohol industry actors have shown particular interest in this subject, and been extensively involved through research funding, and in other ways, generating concerns about bias, particularly in reviews. Material & methods: We conducted a co-authorship network analysis of the primary studies included within a previous co-authorship study of 60 systematic reviews on the impact of alcohol on CVD. Additionally, we examined the relationships between declared alcohol industry funding and network structure. Results: There were 713 unique primary studies with 2832 authors published between 1969 and 2019 located within 229 co-authorship subnetworks. There was industry funding across subnetworks and approximately 8% of all papers declared industry funding. The largest subnetwork dominated, comprising 43% of all authors, with sparse evidence of substantial industry funding. The second largest subnetwork contained approximately 4% of all authors, with largely different industry funders involved. Harvard affiliated authors who at the review level formed co-authorship subnetworks with industry funded authors were seen at the primary study level to belong to the largest epidemiological subnetwork. A small number of key authors make extensive alcohol industry funding declarations. Conclusions: There was no straightforward relationship between co-authorship network formation and alcohol industry funding of epidemiological studies on alcohol and CVD. More fine-grained attention to patterns of alcohol industry funding and to key nodes may shed further light on how far industry funding may be responsible for conflicting findings on alcohol and CVD.

 

 

Background: In the last five years, there has been an accelerated growth in the scientific production about Artificial Intelligence and Healthcare by Scholars of the most diverse disciplines. Recently, the scientific corpus has been enriched with considerable literature reviews ranging from the overview of large collections of scientific documents to the recognition of the state of knowledge on specific aspects (e.g., in the medical field, ophthalmology, cardiology, nephrology, etc.). Methods: The methodological approaches belong to the scientific fields of bibliometrics and topic modeling. Following a bibliometric analysis of the literature on the subject, conducted on a vast collection of scientific contributions, we also searched for the “latent” themes in the semantic structures of these documents, identified the relationships between them and recognized the most likely to be investigated in the future. Results: Results show 24 topics about future trends in literature review connecting the field of AI and Healthcare. Conclusions: This bibliometric review of the literature on artificial intelligence and healthcare allows identifying of some privileged areas of attention by scholars of different disciplines. However, it also reveals the limits of hard clustering techniques, as demonstrated by the presence of some keywords in several groups. The numerous existing reviews must be integrated by reviews based on Topic Modeling techniques, which make it possible to identify topics, historical trends (classical and emerging topics), associations between the documents and to predict, on a probabilistic basis, which scientific fields will be most likely to see development in the future.

 

 

Background: Cluster analysis is vital in bibliometrics for deciphering large sets of academic data. However, no prior research has employed a cluster-pattern algorithm to assess the similarities and differences between 2 clusters in networks. The study goals are 2-fold: to create a cluster-pattern comparison algorithm tailored for bibliometric analysis and to apply this algorithm in presenting clusters of countries, institutes, departments, authors (CIDA), and keywords on journal articles during and after COVID-19. Methods: We analyzed 9499 and 5943 articles from the Journal of Medicine (Baltimore) during and after COVID-19 in 2020 to 2021 and 2022 to 2023, sourced from the Web of Science (WoS) Core Collection. Follower-leading clustering algorithm (FLCA) was compared to other 8 counterparts in cluster validation and effectiveness and a cluster-pattern-comparison algorithm (CPCA) was developed using the similarity coefficient, collaborative maps, and thematic maps to evaluate CIDA cluster patterns. The similarity coefficients were categorized as identical, similar, dissimilar, or different for values above 0.7, between 0.5 and 0.7, between 0.3 and 0.5, and below 0.3, respectively. Results: Both stages displayed similar trends in annual publications and average citations, although these trends are decreasing. The peak publication year was 2020. Similarity coefficients of cluster patterns in these 2 stages for CIDA entities and keywords were 0.73, 0.35, 0.80, 0.02, and 0.83, respectively, suggesting the existence of identical patterns (>0.70) in countries, departments, and keywords plus, but dissimilar (<0.5) and different patterns (<0.3) found in institutes and 1st and corresponding authors, during and after COVID-19. Conclusions: This research effectively created and utilized CPCA to analyze cluster patterns in bibliometrics. It underscores notable identical patterns in country-/department-/keyword based clusters, but dissimilar and different in institute-/author- based clusters, between these 2 stages during and after COVID-19, offering a framework for future bibliographic studies to compare cluster patterns beyond just the CIDA entities, as demonstrated in this study.

 

 

Importance: Scientific publication is an important tool for knowledge dissemination and career advancement, but authors affiliated with institutions in low- and middle-income countries (LMICs) are historically underrepresented on publications. Objective: To assess the country income level distribution of author affiliations for publications resulting from National Cancer Institute (NCI)–supported extramural grants between 2015 and 2019, with international collaborating institutions exclusively in 1 or more LMICs. Design and Setting: This cross-sectional study assessed authorship on publications resulting from NCI-funded grants between October 1, 2015, and September 30, 2019. Grants with collaborators in LMICs were identified in the National Institutes of Health (NIH) Query/View/Report and linked to publications using Dimensions for NIH, published between 2011 and 2020. Statistical analysis was performed from May 2021 to July 2022. Main Outcomes and Measures: Author institutional affiliation was used to classify author country and related income level as defined by the World Bank. Relative citation ratio and Altmetric data from Dimensions for NIH were used to compare citation impact measures using the Wilcoxon rank sum test. Results: In this cross-sectional study, 159 grants were awarded to US institutions with collaborators in LMICs, and 5 grants were awarded directly to foreign institutions. These 164 grants resulted in 2428 publications, of which 1242 (51%) did not include any authors affiliated with an institution in an LMIC. In addition, 1884 (78%) and 2009 (83%) publications had a first or last author, respectively, affiliated with a high-income country (HIC). Publications with HIC-affiliated last authors also demonstrated greater citation impact compared with publications with LMIC-affiliated last authors as measured by relative citation ratios and Altmetric Attention Scores; publications with HIC-affiliated first authors also had higher Altmetric Attention Scores. Conclusions and Relevance: This cross-sectional study suggests that LMIC-affiliated authors were underrepresented on publications resulting from NCI-funded grants involving LMICs. It is critical to promote equitable scientific participation by LMIC institutions in cancer research, including through current and planned programs led by the NCI.

 

 

Uno de los principales desafíos de las instituciones públicas de ciencia y tecnología radica en alinear las actividades y resultados de la investigación con la agenda de I+D y los lineamientos estratégicos definidos institucionalmente. Dentro de los factores que definen este alineamiento se encuentran las publicaciones científicas, consideradas incluso en muchos casos como el principal producto de las actividades de investigación. En el caso del Instituto Nacional de Investigación Agropecuaria (INIA) de Uruguay se definió como política institucional el mejorar los indicadores de cantidad y calidad de publicaciones científicas arbitradas. Para cumplir este objetivo se definieron diferentes acciones a implementar. Con el objetivo de monitorear los resultados de estas se realizó un estudio bibliométrico de las publicaciones del INIA en el período 2011-2022. El artículo que aquí se propone presenta los resultados obtenidos, permitiendo la discusión acerca de la pertinencia estratégica, la evolución, la conformación de grupos de trabajo y las vinculaciones institucionales en relación con la publicación de artículos científicos. Este tipo de análisis contribuye a la revisión continua de la estrategia institucional de forma ágil, dinámica y eficiente.