Literature DB >> 33411846

A scientometric overview of CORD-19.

Giovanni Colavizza1, Rodrigo Costas2, Vincent A Traag2, Nees Jan van Eck2, Thed van Leeuwen2, Ludo Waltman2.   

Abstract

As the COVID-19 pandemic unfolds, researchers from all disciplines are coming together and contributing their expertise. CORD-19, a dataset of COVID-19 and coronavirus publications, has been made available alongside calls to help mine the information it contains and to create tools to search it more effectively. We analyse the delineation of the publications included in CORD-19 from a scientometric perspective. Based on a comparison to the Web of Science database, we find that CORD-19 provides an almost complete coverage of research on COVID-19 and coronaviruses. CORD-19 contains not only research that deals directly with COVID-19 and coronaviruses, but also research on viruses in general. Publications from CORD-19 focus mostly on a few well-defined research areas, in particular: coronaviruses (primarily SARS-CoV, MERS-CoV and SARS-CoV-2); public health and viral epidemics; molecular biology of viruses; influenza and other families of viruses; immunology and antivirals; clinical medicine. CORD-19 publications that appeared in 2020, especially editorials and letters, are disproportionately popular on social media. While we fully endorse the CORD-19 initiative, it is important to be aware that CORD-19 extends beyond research on COVID-19 and coronaviruses.

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Year:  2021        PMID: 33411846      PMCID: PMC7790270          DOI: 10.1371/journal.pone.0244839

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  11 in total

1.  Software survey: VOSviewer, a computer program for bibliometric mapping.

Authors:  Nees Jan van Eck; Ludo Waltman
Journal:  Scientometrics       Date:  2009-12-31       Impact factor: 3.238

Review 2.  Public Health and Online Misinformation: Challenges and Recommendations.

Authors:  Briony Swire-Thompson; David Lazer
Journal:  Annu Rev Public Health       Date:  2019-12-24       Impact factor: 21.981

Review 3.  Using social and behavioural science to support COVID-19 pandemic response.

Authors:  Jay J Van Bavel; Katherine Baicker; Paulo S Boggio; Valerio Capraro; Aleksandra Cichocka; Mina Cikara; Molly J Crockett; Alia J Crum; Karen M Douglas; James N Druckman; John Drury; Oeindrila Dube; Naomi Ellemers; Eli J Finkel; James H Fowler; Michele Gelfand; Shihui Han; S Alexander Haslam; Jolanda Jetten; Shinobu Kitayama; Dean Mobbs; Lucy E Napper; Dominic J Packer; Gordon Pennycook; Ellen Peters; Richard E Petty; David G Rand; Stephen D Reicher; Simone Schnall; Azim Shariff; Linda J Skitka; Sandra Susan Smith; Cass R Sunstein; Nassim Tabri; Joshua A Tucker; Sander van der Linden; Paul van Lange; Kim A Weeden; Michael J A Wohl; Jamil Zaki; Sean R Zion; Robb Willer
Journal:  Nat Hum Behav       Date:  2020-04-30

4.  Citation analysis may severely underestimate the impact of clinical research as compared to basic research.

Authors:  Nees Jan van Eck; Ludo Waltman; Anthony F J van Raan; Robert J M Klautz; Wilco C Peul
Journal:  PLoS One       Date:  2013-04-24       Impact factor: 3.240

5.  Characterizing social media metrics of scholarly papers: the effect of document properties and collaboration patterns.

Authors:  Stefanie Haustein; Rodrigo Costas; Vincent Larivière
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

6.  Global health crises are also information crises: A call to action.

Authors:  Bo Xie; Daqing He; Tim Mercer; Youfa Wang; Dan Wu; Kenneth R Fleischmann; Yan Zhang; Linda H Yoder; Keri K Stephens; Michael Mackert; Min Kyung Lee
Journal:  J Assoc Inf Sci Technol       Date:  2020-03-13       Impact factor: 2.687

Review 7.  A new twenty-first century science for effective epidemic response.

Authors:  Juliet Bedford; Jeremy Farrar; Chikwe Ihekweazu; Gagandeep Kang; Marion Koopmans; John Nkengasong
Journal:  Nature       Date:  2019-11-06       Impact factor: 49.962

8.  How to fight an infodemic.

Authors:  John Zarocostas
Journal:  Lancet       Date:  2020-02-29       Impact factor: 79.321

9.  Coronavirus disease 2019: The harms of exaggerated information and non-evidence-based measures.

Authors:  John P A Ioannidis
Journal:  Eur J Clin Invest       Date:  2020-04       Impact factor: 4.686

10.  The COVID-19 social media infodemic.

Authors:  Matteo Cinelli; Walter Quattrociocchi; Alessandro Galeazzi; Carlo Michele Valensise; Emanuele Brugnoli; Ana Lucia Schmidt; Paola Zola; Fabiana Zollo; Antonio Scala
Journal:  Sci Rep       Date:  2020-10-06       Impact factor: 4.379

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  20 in total

1.  Health Information Technology During the COVID-19 Epidemic: A Review via Text Mining.

Authors:  Meisam Dastani; Alireza Atarodi
Journal:  Online J Public Health Inform       Date:  2022-08-11

2.  Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature.

Authors:  Milad Haghani; Michiel C J Bliemer
Journal:  Scientometrics       Date:  2020-09-21       Impact factor: 3.238

3.  Topic evolution, disruption and resilience in early COVID-19 research.

Authors:  Yi Zhang; Xiaojing Cai; Caroline V Fry; Mengjia Wu; Caroline S Wagner
Journal:  Scientometrics       Date:  2021-03-20       Impact factor: 3.801

4.  Profiling COVID-19 Genetic Research: A Data-Driven Study Utilizing Intelligent Bibliometrics.

Authors:  Mengjia Wu; Yi Zhang; Mark Grosser; Steven Tipper; Deon Venter; Hua Lin; Jie Lu
Journal:  Front Res Metr Anal       Date:  2021-05-24

5.  Mitigating Biases in CORD-19 for Analyzing COVID-19 Literature.

Authors:  Anshul Kanakia; Kuansan Wang; Yuxiao Dong; Boya Xie; Kyle Lo; Zhihong Shen; Lucy Lu Wang; Chiyuan Huang; Darrin Eide; Sebastian Kohlmeier; Chieh-Han Wu
Journal:  Front Res Metr Anal       Date:  2020-11-23

6.  A Glimpse of the First Eight Months of the COVID-19 Literature on Microsoft Academic Graph: Themes, Citation Contexts, and Uncertainties.

Authors:  Chaomei Chen
Journal:  Front Res Metr Anal       Date:  2020-12-23

7.  Scaling Scientometrics: Dimensions on Google BigQuery as an Infrastructure for Large-Scale Analysis.

Authors:  Daniel W Hook; Simon J Porter
Journal:  Front Res Metr Anal       Date:  2021-04-14

8.  Tracking and Mining the COVID-19 Research Literature.

Authors:  Alan L Porter; Yi Zhang; Ying Huang; Mengjia Wu
Journal:  Front Res Metr Anal       Date:  2020-11-06

9.  Discovering temporal scientometric knowledge in COVID-19 scholarly production.

Authors:  Breno Santana Santos; Ivanovitch Silva; Luciana Lima; Patricia Takako Endo; Gisliany Alves; Marcel da Câmara Ribeiro-Dantas
Journal:  Scientometrics       Date:  2022-01-16       Impact factor: 3.801

10.  A critical analysis of COVID-19 research literature: Text mining approach.

Authors:  Ferhat D Zengul; Ayse G Zengul; Michael J Mugavero; Nurettin Oner; Bunyamin Ozaydin; Dursun Delen; James H Willig; Kierstin C Kennedy; James Cimino
Journal:  Intell Based Med       Date:  2021-06-17
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