Coronavirus: Scientometrics of 50 Years of Global Scientific Productions

Danesh, Farshid; Ghavidel, Somayeh

doi:10.30699/ijmm.14.1.1

Cited by 26 publications

(25 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The potency of camostat against SARS-CoV-2 was ~100-fold greater in our Caco-2 cell assay than in a previous study using Vero-E6 cells 23 but similar to the results of another study with the same virus and cell line 24 , as well as studies of MERS-CoV and SARS-CoV using Calu-3 cells 25 , 26 . Likewise, the potency of nafamostat against SARS-CoV-2 in our Caco-2 cell assay was >500-fold greater than in previous studies using Vero-E6 cells 27 , 28 but similar to the results of a previous study of MERS-CoV cytopathicity against Calu-3 cells 26 . Papaverine was eight-fold more potent against SARS-CoV-2 (in Caco-2 cells) than against MERS-CoV (in BHK-21 cells) 29 whereas cetylpyridinium showed similar potency in both assays 29 .…”

Section: Technical Validationsupporting

confidence: 86%

A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection

et al. 2021

View full text Add to dashboard Cite

SARS-CoV-2 is a novel coronavirus responsible for the COVID-19 pandemic, in which acute respiratory infections are associated with high socio-economic burden. We applied high-content screening to a well-defined collection of 5632 compounds including 3488 that have undergone previous clinical investigations across 600 indications. The compounds were screened by microscopy for their ability to inhibit SARS-CoV-2 cytopathicity in the human epithelial colorectal adenocarcinoma cell line, Caco-2. The primary screen identified 258 hits that inhibited cytopathicity by more than 75%, most of which were not previously known to be active against SARS-CoV-2 in vitro. These compounds were tested in an eight-point dose response screen using the same image-based cytopathicity readout. For the 67 most active molecules, cytotoxicity data were generated to confirm activity against SARS-CoV-2. We verified the ability of known inhibitors camostat, nafamostat, lopinavir, mefloquine, papaverine and cetylpyridinium to reduce the cytopathic effects of SARS-CoV-2, providing confidence in the validity of the assay. The high-content screening data are suitable for reanalysis across numerous drug classes and indications and may yield additional insights into SARS-CoV-2 mechanisms and potential therapeutic strategies.

show abstract

Section: Technical Validationsupporting

confidence: 86%

A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Results of some previous studies were similar to this study, which exhibited that the United States was the most productive country in different areas of research, such as like Carpal Tunnel Syndrome, Coronavirus, Middle East Respiratory Syndrome (MERS), m-health, Sudden Infant Death Syndrome, and regulatory T-cell ( Bonilla-Aldana et al , 2020 ; Danesh & Ghavidel, 2020 ; Menezes et al, 2020 ; Ram, 2019 ; Ram, 2020 ; Sweileh et al , 2017 ; Wang et al , 2016 ; Zongyi, et al , 2016 ; Zyoud, 2016 ).…”

Section: Resultssupporting

confidence: 88%

“…Our analysis showed that nine out of the top ten contributing organizations were academic institutions and most of them (six) were based in the United States, which also confirmed the results of the country-wise analysis. Analogous results were exhibited during earlier studies, which found that universities contributed much of the research related to MERS, coronavirus, and regulatory T-cells ( Danesh & Ghavidel, 2020 ; Ram, 2020 ; Wang et al , 2016 ; Zongyi, Dongying & Baifeng, 2016 ).…”

Section: Resultssupporting

confidence: 83%

Medical negligence in healthcare organizations and its impact on patient safety and public health: a bibliometric study

et al. 2021

View full text Add to dashboard Cite

Background: Medical negligence is an increasing public health concern among healthcare providers worldwide as it affects patient safety. It poses a significant risk of patient injury, disease, disability, or death. The WHO has recognized deficiencies in patient safety as a global healthcare issue to be addressed. This study aimed to analyze various components of medical negligence research literature. Methods: Bibliographic data visualizations tools like Biblioshiny (RStudio) and VOSviewer were used besides MS Excel to examine the types of documents, annual scientific production, top contributing authors and their impact, authorship patterns and collaboration, top contributing countries and organizations, most significant sources of publication, most cited documents, and most frequently used keywords. Bibliometric methods were used to analyze the bibliographic records of research output on medical negligence downloaded from the Web of Science Core Collection. Results: The annual productivity of medical negligence research was increasing gradually. The most productive period for medical negligence research was 2011-2020. Bird contributed the highest number of publications to medical negligence literature while Brennan emerged as the highly cited author. Single-authored publications on medical negligence were not highly cited. The United States was the highest contributing country and the University of South Florida was the highest contributing organization while Harvard University was a highly cited organization. Nine out of the top ten contributing organizations were academic institutions and most of them belonged to the United States. The most important sources of publication on this topic were The Lancet and British Medical Journal. Localio et al. was the most important research article on medical negligence research. Conclusion: Due to increasing attention on this topic, there was a sharp increase in the research output on medical negligence. This is of significance as the WHO set in motion a patient safety program almost two decades ago.

show abstract

“…In the coronavirus area, the number of scientometric and bibliometric studies can be mentioned. For example, Danesh and Ghavidel evaluated the scientific publications of the last half-century on coronavirus using scientometric methods (Danesh and Ghavidel, 2020). Bonilla-Aldana et al also carried out the bibliographic analysis of coronaviruses (Bonilla-Aldana et al , 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

“…One of the objectives of studies related to text mining is to identify the topics of scientific texts, evaluate these topics and apply the visualization tools for presenting each topic and the relationship between them as an approach to assist users in determining topics (Salloum et al , 2018). Currently, along with the second wave of COVID-19 outbreaks in many countries around the world, medical scientists are conducting significant research projects and clinical trials on the ways of prevention, treatment, and the development of vaccines and effective medicines to combat and eliminate COVID-19 and the results of their studies are published in peer-reviewed journals (Danesh and Ghavidel, 2020). Therefore, the evaluation and analysis of published documents related to coronavirus by applying text mining techniques are of particular importance for researchers, policymakers and medical planners at the international level and highlights the need for such research papers.…”

Section: Introductionmentioning

confidence: 99%

Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis

Danesh

Dastani

Ghorbani

2021

LHT

Self Cite

View full text Add to dashboard Cite

PurposeThe present article's primary purpose is the topic modeling of the global coronavirus publications in the last 50 years.Design/methodology/approachThe present study is applied research that has been conducted using text mining. The statistical population is the coronavirus publications that have been collected from the Web of Science Core Collection (1970–2020). The main keywords were extracted from the Medical Subject Heading browser to design the search strategy. Latent Dirichlet allocation and Python programming language were applied to analyze the data and implement the text mining algorithms of topic modeling.FindingsThe findings indicated that the SARS, science, protein, MERS, veterinary, cell, human, RNA, medicine and virology are the most important keywords in the global coronavirus publications. Also, eight important topics were identified in the global coronavirus publications by implementing the topic modeling algorithm. The highest number of publications were respectively on the following topics: “structure and proteomics,” “Cell signaling and immune response,” “clinical presentation and detection,” “Gene sequence and genomics,” “Diagnosis tests,” “vaccine and immune response and outbreak,” “Epidemiology and Transmission” and “gastrointestinal tissue.”Originality/valueThe originality of this article can be considered in three ways. First, text mining and Latent Dirichlet allocation were applied to analyzing coronavirus literature for the first time. Second, coronavirus is mentioned as a hot topic of research. Finally, in addition to the retrospective approaches to 50 years of data collection and analysis, the results can be exploited with prospective approaches to strategic planning and macro-policymaking.

show abstract

Coronavirus: Scientometrics of 50 Years of Global Scientific Productions

Cited by 26 publications

References 27 publications

A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection

A SARS-CoV-2 cytopathicity dataset generated by high-content screening of a large drug repurposing collection

Medical negligence in healthcare organizations and its impact on patient safety and public health: a bibliometric study

Retrospective and prospective approaches of coronavirus publications in the last half-century: a Latent Dirichlet allocation analysis

Contact Info

Product

Resources

About