ABSTRACT
Massive scientific productivity accompanied the COVID-19 pandemic. We evaluated the citation impact of COVID-19 publications relative to all scientific work published in 2020 to 2021 and assessed the impact on scientist citation profiles. Using Scopus data until August 1, 2021, COVID-19 items accounted for 4% of papers published, 20% of citations received to papers published in 2020 to 2021, and >30% of citations received in 36 of the 174 disciplines of science (up to 79.3% in general and internal medicine). Across science, 98 of the 100 most-cited papers published in 2020 to 2021 were related to COVID-19; 110 scientists received ≥10,000 citations for COVID-19 work, but none received ≥10,000 citations for non-COVID-19 work published in 2020 to 2021. For many scientists, citations to their COVID-19 work already accounted for more than half of their total career citation count. Overall, these data show a strong covidization of research citations across science, with major impact on shaping the citation elite.
Subject(s)
COVID-19 , Pandemics , Periodicals as Topic , Humans , Periodicals as Topic/trendsSubject(s)
Periodicals as Topic/standards , COVID-19/epidemiology , Humans , Pandemics , Periodicals as Topic/trends , SARS-CoV-2ABSTRACT
Amid the Coronavirus Disease 2019 (COVID-19) pandemic, preprints in the biomedical sciences are being posted and accessed at unprecedented rates, drawing widespread attention from the general public, press, and policymakers for the first time. This phenomenon has sharpened long-standing questions about the reliability of information shared prior to journal peer review. Does the information shared in preprints typically withstand the scrutiny of peer review, or are conclusions likely to change in the version of record? We assessed preprints from bioRxiv and medRxiv that had been posted and subsequently published in a journal through April 30, 2020, representing the initial phase of the pandemic response. We utilised a combination of automatic and manual annotations to quantify how an article changed between the preprinted and published version. We found that the total number of figure panels and tables changed little between preprint and published articles. Moreover, the conclusions of 7.2% of non-COVID-19-related and 17.2% of COVID-19-related abstracts undergo a discrete change by the time of publication, but the majority of these changes do not qualitatively change the conclusions of the paper.
Subject(s)
COVID-19/prevention & control , Information Dissemination/methods , Peer Review, Research/trends , Periodicals as Topic/trends , Publications/trends , COVID-19/epidemiology , COVID-19/virology , Humans , Pandemics/prevention & control , Peer Review, Research/methods , Peer Review, Research/standards , Periodicals as Topic/standards , Periodicals as Topic/statistics & numerical data , Publications/standards , Publications/statistics & numerical data , Publishing/standards , Publishing/statistics & numerical data , Publishing/trends , SARS-CoV-2/isolation & purification , SARS-CoV-2/physiologySubject(s)
Periodicals as Topic/trends , Research , Zoology , Animals , Asia, Eastern , TranslationsSubject(s)
Endocrinology , Gynecology , Periodicals as Topic/trends , Editorial Policies , Societies, MedicalABSTRACT
Current Issues in Molecular Biology (CIMB) (https://www [...].
Subject(s)
Molecular Biology/trends , Periodicals as Topic/trends , Animals , Biotechnology/methods , Biotechnology/trends , Epigenomics/methods , Epigenomics/trends , Genomics/methods , Genomics/trends , Humans , Molecular Biology/statistics & numerical data , Periodicals as Topic/statistics & numerical data , Proteomics/methods , Proteomics/trendsSubject(s)
Betacoronavirus , Biomedical Research/trends , Coronavirus Infections/epidemiology , Medicine in Literature , Periodicals as Topic/trends , Pneumonia, Viral/epidemiology , Biomedical Research/methods , COVID-19 , Coronavirus Infections/therapy , Cross-Sectional Studies , Humans , Meta-Analysis as Topic , Observational Studies as Topic/methods , Pandemics , Pneumonia, Viral/therapy , Randomized Controlled Trials as Topic/methods , Retrospective Studies , SARS-CoV-2ABSTRACT
The British Journal of Anaesthesia (BJA) had an eventful 2021, following what was a cataclysmic 2020 for the whole world. Despite the tragic challenges of multiple waves of the COVID-19 pandemic and the unparalleled burdens this created for everyone working in anaesthesia and critical care, the BJA underwent a major transformation during 2021. The BJA strongly supported research and education relevant to the pandemic, and to the broader missions of anaesthesia, critical, and pain medicine. Innovations to the BJA in 2021 included a special section on COVID-19 and the Anaesthetist; a new open access journal in the BJA stable; creation of a new social media editor position; new webinar and author interview series; transition to a new manuscript management system; and a move away from paper to electronic publication.
Subject(s)
Anesthesia , COVID-19 , Periodicals as Topic/trends , Anesthesiology , Humans , Publishing/trends , Social Media , United KingdomABSTRACT
This article reflects on the importance and the impact of scientific publications in the midst of a global health crisis. It aims to raise awareness about the responsibility of accepting manuscripts in such sensitive times and is intended to motivate the production of high-quality papers through a critical vision.
Subject(s)
COVID-19/prevention & control , Periodicals as Topic/standards , Humans , Periodicals as Topic/trends , Publications/standards , Publications/trendsSubject(s)
Bibliometrics , Biomedical Research/classification , COVID-19/epidemiology , COVID-19/metabolism , Periodicals as Topic/classification , SARS-CoV-2/metabolism , Antiviral Agents/administration & dosage , Antiviral Agents/metabolism , Biomedical Research/trends , COVID-19/therapy , Humans , Periodicals as Topic/trends , SARS-CoV-2/drug effectsABSTRACT
Humans learn about the world by collectively acquiring information, filtering it, and sharing what we know. Misinformation undermines this process. The repercussions are extensive. Without reliable and accurate sources of information, we cannot hope to halt climate change, make reasoned democratic decisions, or control a global pandemic. Most analyses of misinformation focus on popular and social media, but the scientific enterprise faces a parallel set of problems-from hype and hyperbole to publication bias and citation misdirection, predatory publishing, and filter bubbles. In this perspective, we highlight these parallels and discuss future research directions and interventions.
Subject(s)
Biomedical Research/ethics , Health Communication/ethics , Periodicals as Topic/trends , Health Communication/trends , Humans , Mass Media/ethics , Mass Media/trends , Periodicals as Topic/ethicsABSTRACT
BACKGROUND: Outbreaks of infectious diseases generate outbreaks of scientific evidence. In 2016 epidemics of Zika virus emerged, and in 2020, a novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic of coronavirus disease 2019 (COVID-19). We compared patterns of scientific publications for the two infections to analyse the evolution of the evidence. METHODS: We annotated publications on Zika virus and SARS-CoV-2 that we collected using living evidence databases according to study design. We used descriptive statistics to categorise and compare study designs over time. RESULTS: We found 2286 publications about Zika virus in 2016 and 21,990 about SARS-CoV-2 up to 24 May 2020, of which we analysed a random sample of 5294 (24%). For both infections, there were more epidemiological than laboratory science studies. Amongst epidemiological studies for both infections, case reports, case series and cross-sectional studies emerged first, cohort and case-control studies were published later. Trials were the last to emerge. The number of preprints was much higher for SARS-CoV-2 than for Zika virus. CONCLUSIONS: Similarities in the overall pattern of publications might be generalizable, whereas differences are compatible with differences in the characteristics of a disease. Understanding how evidence accumulates during disease outbreaks helps us understand which types of public health questions we can answer and when.