Global visibility of publications through Digital Object Identifiers.

This brief research report analyzes the availability of Digital Object Identifiers (DOIs) worldwide, highlighting the dominance of large publishing houses and the need for unique persistent identifiers to increase the visibility of publications from developing countries. The study reveals that a considerable amount of publications from developing countries are excluded from the global flow of scientific information due to the absence of DOIs, emphasizing the need for alternative publishing models. The authors suggest that the availability of DOIs should receive more attention in scholarly communication and scientometrics, contributing to a necessary debate on DOIs relevant for librarians, publishers, and scientometricians.

Internationalization of the Moroccan Journal of Chemistry: A bibliometric study.

In this research paper, we analyzed the bibliographic data of the research publications issued by the Moroccan Journal of Chemistry between 2013 and 2021. As an open-access country-based research journal with a narrow area of interest and international online exposure, it will be interesting to see how it affects the local chemical research community through the comparison of the characteristics of the research outputs of the journal as retrieved from the Directory of Open Access Journals (DOAJ) with the features of Moroccan chemical research from 2014 to 2021 in the Web of Science Core Collection (WoS). In this context, we generated scientometric networks using Gephi, a tool for large-scale data visualization, to reveal the patterns of the publications in the Moroccan Journal of Chemistry. When performing our analysis, we found a significant alignment between the research topics featured in the Moroccan Journal of Chemistry and the main research areas of the Moroccan chemical scholarly outputs, particularly Multidisciplinary Chemistry, Physical Chemistry, and Analytical Chemistry. We also identified that the Moroccan Journal of Chemistry functions as an incubator for establishing new traditions of research collaboration between Moroccan institutions and target nations such as Asian and African countries. As well, it is clear that the Moroccan Journal of Chemistry is an interesting venue for the most productive chemical researchers in Morocco for sharing preliminary research findings and discussing trendy topics.

Letter to the Editor: FHIR RDF - Why the world needs structured electronic health records.

This comment discusses the benefits of representing and reusing the information in Electronic Health Record databases as knowledge graphs in the RDF format based on the FHIR RDF specification. As a structured representation of clinical data, FHIR RDF-based electronic health records allow a simpler and more effective integration of biomedical information using semantic alignment, queries, interoperability, and federation to provide better support for health practice and research.

Using logical constraints to validate statistical information about disease outbreaks in collaborative knowledge graphs: the case of COVID-19 epidemiology in Wikidata.

Urgent global research demands real-time dissemination of precise data. Wikidata, a collaborative and openly licensed knowledge graph available in RDF format, provides an ideal forum for exchanging structured data that can be verified and consolidated using validation schemas and bot edits. In this research article, we catalog an automatable task set necessary to assess and validate the portion of Wikidata relating to the COVID-19 epidemiology. These tasks assess statistical data and are implemented in SPARQL, a query language for semantic databases. We demonstrate the efficiency of our methods for evaluating structured non-relational information on COVID-19 in Wikidata, and its applicability in collaborative ontologies and knowledge graphs more broadly. We show the advantages and limitations of our proposed approach by comparing it to the features of other methods for the validation of linked web data as revealed by previous research.

Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references.

In this research letter, we build upon recent studies about the sleeping beauties awakened by the COVID-19 pandemic. We prove that a peak of citations for sleeping beauties is associated with a sharp increase in the number of citations received by their references. This demonstrates the existence of a cascading activation of citation-based sleeping beauties.

Developing intuitive and explainable algorithms through inspiration from human physiology and computational biology.

In this letter, we explain how intuitive and explainable methods inspired from human physiology and computational biology can serve to simplify and ameliorate the way we process and generate knowledge resources.

Enhancing filter-based parenthetic abbreviation extraction methods.

This letter discusses the limitations of the use of filters to enhance the accuracy of the extraction of parenthetic abbreviations from scholarly publications and proposes the usage of the parentheses level count algorithm to efficiently extract entities between parentheses from raw texts as well as of machine learning-based supervised classification techniques for the identification of biomedical abbreviations to significantly reduce the removal of acronyms including disallowed punctuations.

Wikidata: A large-scale collaborative ontological medical database.

Created in October 2012, Wikidata is a large-scale, human-readable, machine-readable, multilingual, multidisciplinary, centralized, editable, structured, and linked knowledge-base with an increasing diversity of use cases. Here, we raise awareness of the potential use of Wikidata as a useful resource for biomedical data integration and semantic interoperability between biomedical computer systems. We show the data model and characteristics of Wikidata and explain how this database can be automatically processed by users as well as by computer methods and programs. Then, we give an overview of the medical entities and relations provided by the database and how they can be useful for various medical purposes such as clinical decision support.