ABSTRACT
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.
ABSTRACT
Due to its impact on all human activity, the new virus has therefore aroused increased interest in research. A large number of medical papers related to COVID-19 have been published as a result of the scientific community response to this emerging infectious disease. All measures that combat the spread of the disease came at a cost and the people had to add one more hardship which contributed to the rise in social inequality. Moreover, the costs for internet access, proper equipment to support online education, private healthcare, facemasks, and disinfectants have become a burden for a segment of Romanian society. In this study, 18 Romanian universities a Medicine bachelor specialisation, both public and private, were analysed to determine the dataset query from Web of Science. Our research aimed to assess the impact of COVID-19 papers written by authors affiliated with Romanian universities with a medicine specialisation, which are the factors that influence the likelihood of a paper being cited and how the number of citations varies by university type. The obtained results reveal that University of Medicine and Pharmacy "Carol Davila" from Bucharest records the highest number of published papers, while "APOL-LONIA" University of Ia.i has the highest number of citations in both WOS Core Collection and in all WOS Databases per research. Furthermore, there is a significant difference in the number of citations between papers with and without a PUB MED ID. Logistic models show that neither the type of university nor the property type of the university (public or private) are determinants of the likelihood of an article being cited in the WOS core collection or in all WOS databases. As a consequence, a research paper with PUB MED ID and a higher number of pages, has a higher chance to be cited.
ABSTRACT
The risk of accidental or deliberate misuse of biological research is increasing as biotechnology advances. As open science becomes widespread, we must consider its impact on those risks and develop solutions that ensure security while facilitating scientific progress. Here, we examine the interaction between open science practices and biosecurity and biosafety to identify risks and opportunities for risk mitigation. Increasing the availability of computational tools, datasets, and protocols could increase risks from research with misuse potential. For instance, in the context of viral engineering, open code, data, and materials may increase the risk of release of enhanced pathogens. For this dangerous subset of research, both open science and biosecurity goals may be achieved by using access-controlled repositories or application programming interfaces. While preprints accelerate dissemination of findings, their increased use could challenge strategies for risk mitigation at the publication stage. This highlights the importance of oversight earlier in the research lifecycle. Preregistration of research, a practice promoted by the open science community, provides an opportunity for achieving biosecurity risk assessment at the conception of research. Open science and biosecurity experts have an important role to play in enabling responsible research with maximal societal benefit.
ABSTRACT
The need to protect public health during the current COVID-19 pandemic has necessitated conference cancellations on an unprecedented scale. As the scientific community adapts to new working conditions, it is important to recognize that some of our actions may disproportionately affect early-career researchers and scientists from countries with limited research funding. We encourage all conference organizers, funders and institutions who are able to do so to consider how they can mitigate the unintended consequences of conference and travel cancellations and we provide seven recommendations for how this could be achieved. The proposed solutions may also offer long-term benefits for those who normally cannot attend conferences, and thus lead to a more equitable future for generations of researchers.