key: cord-0788034-icivsg21 authors: Rafiei Nasab, Fateme; rahim, Fakher title: Bibliometric Analysis of Global Scientific Research on SARSCoV-2 (COVID-19) date: 2020-03-23 journal: nan DOI: 10.1101/2020.03.19.20038752 sha: 731f6ee11fbf80c103ca11b80f90fbb1a8de75e1 doc_id: 788034 cord_uid: icivsg21 Background and Aim: Since late 2019, an unknown-origin pneumonia outbreak detected in Wuhan city, Hubei Province, China. We aimed to build a model to qualitatively and quantitatively assess publications of research of COVID-19 from 2019 to 2020. Materials and Methods: Data were obtained from the Web of Science (WOS), PubMed, and Scopus Core Collection on March 02, 2020, and updated on March 10. We conducted a qualitative and quantitative analysis of publication outputs, journals, authors, institutions, countries, cited references, keywords, and terms according to bibliometric methods using VOS viewer c software packages. Results: Initially, we identified 227 papers, of which after an exclusion process, 92 studies were selected for statistical analyses. China accounted for the highest proportion of published research (44 papers, 40.48%), followed by the United States (21 papers, 19.32%), and Canada (7 papers, 6.44%). Adjusted by gross domestic product (GDP), ranked first, with 0.003 articles per billion GDP. In total, the top 10 journals published 47 articles, which accounted for 51.08% of all publications in this Feld. A total of 6 studies (05.52%) were supported by National Natural Science Foundation of China. Chinese Academy of Sciences ranked second 2, 2.76%). Conclusion: Bibliometric and visualized mapping may quantitatively monitor research performance in science and present predictions. The subject of this study was the fast growing publication on COVID-19. Most studies are published in journals with very high impact factors (IFs) and other journals are more interested in this type of research. Covid-19 related research 2. Readers to comprehend the history of published Covid-19 articles in just a few minutes. 3. We evaluated the research strength of countries and institutions, 4. Scholars might refer to in order to find cooperative institutions. 5. During our research using the selected database, we tried to guarantee comprehension and objectivity. All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020 . . https://doi.org/10.1101 Introduction 28 Since late 2019, an unknown-origin pneumonia outbreak detected in Wuhan city, 29 Hubei Province, China [1] . Though announcing the outbreak of the COVID-19 as the sixth major public health 36 emergency worldwide [3] . Thus, to prevent the spread of this new coronavirus, it is 37 necessary health-care staffs and decision maker, governments and the people to 38 work together. Moreover, it is recommended that all potentially exposed subjects to 39 be isolated for 14 days, suggesting isolation is the best way to contain this epidemic advance directions, and design upcoming research [5, 6] . However, up to now, 50 All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020 . . https://doi.org/10.1101 bibliometric studies on COVID-19 include inherent limitations and are rare. Due to 51 the rapid growth of publishing articles in this field, the aim of this article is to assess 52 the publication pattern of Covid-19 research globally. This study systematically 53 assessed the publication distribution, stratified by geography, institution, funding 54 sponsors, journals, and more. We also assessed the frequency of keywords and 55 then employed Bibliometric mapping tools to demonstrate developments on Covid-56 19. Results were analyzed to further understand the structure of this field and to 57 anticipate developments on Covid-19 research. Furthermore, this study can provide 58 information for funding agencies to establish elated guidelines on Covid-19 research. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020 . . https://doi.org/10.1101 TO ( PUBYEAR , 2020 ) OR LIMIT-TO ( PUBYEAR , 2019 ). Regarding 76 manuscript types, only original articles and other document types were included. Ethical approval was not necessary, since the data were downloaded from the public 78 databases and did not involve any interactions with human or animal subjects. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (Table 1) . 108 Table 1 : the 10 most productive countries related to COVID-19 research. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. analyze keywords extracted from the titles and abstracts of 552 articles included in 143 this study. As a result, 84 keywords, which appeared more than 10 times, were 144 included and shown in the map. These could be stratified into three clusters: High-145 All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020. . https://doi.org/10. 1101 frequency keywords in cluster 1 were "Coronavirus" (224 times), "Cov" (125 times), 146 and "death" (41 times). For the characteristics-related research in cluster 2, the top 147 keywords are comprised of "patient" (107 times), "symptom" (52 times), and 148 "year"(40 times). In cluster 3 were "Country" 58 times), "epidemic" (49 times), and 149 "sars" (36 times). 150 Figure 6 : the analysis of key words. The mapping on key words of For analyzing data in VOS viewer, we used ISI, PubMed, and Scopus as database. The keywords were divided into three clusters: In general, the smaller the distance (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. Studies with respect to the contributing countries, institutions, journals, and funding 171 sponsors. In the case of global trends of research on Covid-19, the possibility that the 173 increasing trend will go on longer than that expected from the proposed model, and was in second place, its total citations and H-index were 19 and 2, respectively. In terms of journals, we observed that the Euro Surveillance Bulletin "Europeen Sur (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. and was associated with ICU admission and high mortality. As for the prospective 196 application of the VOS viewer map, we suggest that authors could select research 197 topics from the map and demonstrate its importance as frontier hotspot by the map 198 ,and funding agents might be suggested to invest in these orientations. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020 . . https://doi.org/10.1101 (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020. . https://doi.org/10. 1101 (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. The copyright holder for this preprint this version posted March 23, 2020. . https://doi.org/10. 1101 Click here to download high resolution image All rights reserved. No reuse allowed without permission. (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. Clinical features of patients infected with 2019 novel coronavirus in Wuhan Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and 236 coronavirus disease-2019 (COVID-19): The epidemic and the challenges Evaluation and Treatment Coronavirus (COVID-19) Treasure Island (FL) Emerging trends and new developments in regenerative 242 medicine: a scientometric update A bibliometric analysis of research on the risk of engineering nanomaterials 245 during 1999-2012 Twenty-first century macro-trends in the institutional fabric of 247 science: bibliometric monitoring and analysis The bigger picture: the history of antibiotics and antimicrobial resistance 249 displayed by scientometric data Reviewers are blinkered by bibliometrics