IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v126y2021i8d10.1007_s11192-021-04036-4.html
   My bibliography  Save this article

Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature

Author

Listed:
  • Milad Haghani

    (The University of New South Wales
    The University of Sydney)

  • Pegah Varamini

    (The University of Sydney)

Abstract

Following the outbreak of SARS-CoV-2 disease, within less than 8 months, the 50 years-old scholarly literature of coronaviruses grew to nearly three times larger than its size prior to 2020. Here, temporal evolution of the coronavirus literature over the last 30 years (N = 43,769) is analysed along with its subdomain of SARS-CoV-2 articles (N = 27,460) and the subdomain of reviews and meta-analytic studies (N = 1027). The analyses are conducted through the lenses of co-citation and bibliographic coupling of documents. (1) Of the N = 1204 review and meta-analytical articles of the coronavirus literature, nearly 88% have been published and indexed during the first 8 months of 2020, marking an unprecedented attention to reviews and meta-analyses in this domain, prompted by the SARS-CoV-2 pandemic. (2) The subset of 2020 SARS-CoV-2 articles is bibliographically distant from the rest of this literature published prior to 2020. Individual articles of the SARS-CoV-2 segment with a bridging role between the two bodies of articles (i.e., before and after 2020) are identifiable. (3) Furthermore, the degree of bibliographic coupling within the 2020 SARS-CoV-2 cluster is much poorer compared to the cluster of articles published prior to 2020. This could, in part, be explained by the higher diversity of topics that are studied in relation to SARS-CoV-2 compared to the literature of coronaviruses published prior to the SARS-CoV-2 disease. (4) The analyses on the subset of SARS-CoV-2 literature identified studies published prior to 2020 that have now proven highly instrumental in the development of various clusters of publications linked to SARS-CoV-2. In particular, the so-called “sleeping beauties” of the coronavirus literature with an awakening in 2020 were identified, i.e., previously published studies of this literature that had remained relatively unnoticed for several years but gained sudden traction in 2020 in the wake of the SARS-CoV-2 outbreak. This work documents the historical development of the literature on coronaviruses as an event-driven literature and as a domain that exhibited, arguably, the most exceptional case of publication burst in the history of science. It also demonstrates how scholarly efforts undertaken during peace time or prior to a disease outbreak could suddenly play a critical role in prevention and mitigation of health disasters caused by new diseases.

Suggested Citation

  • Milad Haghani & Pegah Varamini, 2021. "Temporal evolution, most influential studies and sleeping beauties of the coronavirus literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 7005-7050, August.
  • Handle: RePEc:spr:scient:v:126:y:2021:i:8:d:10.1007_s11192-021-04036-4
    DOI: 10.1007/s11192-021-04036-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-021-04036-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11192-021-04036-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Chaomei Chen, 2006. "CiteSpace II: Detecting and visualizing emerging trends and transient patterns in scientific literature," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 57(3), pages 359-377, February.
    2. Byron E. E. Martina & Bart L. Haagmans & Thijs Kuiken & Ron A. M. Fouchier & Guus F. Rimmelzwaan & Geert van Amerongen & J. S. Malik Peiris & Wilina Lim & Albert D. M. E. Osterhaus, 2003. "SARS virus infection of cats and ferrets," Nature, Nature, vol. 425(6961), pages 915-915, October.
    3. Peng Zhou & Xing-Lou Yang & Xian-Guang Wang & Ben Hu & Lei Zhang & Wei Zhang & Hao-Rui Si & Yan Zhu & Bei Li & Chao-Lin Huang & Hui-Dong Chen & Jing Chen & Yun Luo & Hua Guo & Ren-Di Jiang & Mei-Qin L, 2020. "A pneumonia outbreak associated with a new coronavirus of probable bat origin," Nature, Nature, vol. 579(7798), pages 270-273, March.
    4. Xing-Yi Ge & Jia-Lu Li & Xing-Lou Yang & Aleksei A. Chmura & Guangjian Zhu & Jonathan H. Epstein & Jonna K. Mazet & Ben Hu & Wei Zhang & Cheng Peng & Yu-Ji Zhang & Chu-Ming Luo & Bing Tan & Ning Wang , 2013. "Isolation and characterization of a bat SARS-like coronavirus that uses the ACE2 receptor," Nature, Nature, vol. 503(7477), pages 535-538, November.
    5. Ronald N. Kostoff & Stephen A. Morse, 2011. "Structure and infrastructure of infectious agent research literature: SARS," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 195-209, January.
    6. Yumiko Imai & Keiji Kuba & Shuan Rao & Yi Huan & Feng Guo & Bin Guan & Peng Yang & Renu Sarao & Teiji Wada & Howard Leong-Poi & Michael A. Crackower & Akiyoshi Fukamizu & Chi-Chung Hui & Lutz Hein & S, 2005. "Angiotensin-converting enzyme 2 protects from severe acute lung failure," Nature, Nature, vol. 436(7047), pages 112-116, July.
    7. Guangwen Lu & Yawei Hu & Qihui Wang & Jianxun Qi & Feng Gao & Yan Li & Yanfang Zhang & Wei Zhang & Yuan Yuan & Jinku Bao & Buchang Zhang & Yi Shi & Jinghua Yan & George F. Gao, 2013. "Molecular basis of binding between novel human coronavirus MERS-CoV and its receptor CD26," Nature, Nature, vol. 500(7461), pages 227-231, August.
    8. V. Stalin Raj & Huihui Mou & Saskia L. Smits & Dick H. W. Dekkers & Marcel A. Müller & Ronald Dijkman & Doreen Muth & Jeroen A. A. Demmers & Ali Zaki & Ron A. M. Fouchier & Volker Thiel & Christian Dr, 2013. "Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC," Nature, Nature, vol. 495(7440), pages 251-254, March.
    9. Wen-Ta Chiu & Jing-Shan Huang & Yuh-Shan Ho, 2004. "Bibliometric analysis of Severe Acute Respiratory Syndrome-related research in the beginning stage," Scientometrics, Springer;Akadémiai Kiadó, vol. 61(1), pages 69-77, September.
    10. Anthony F. J. van Raan, 2004. "Sleeping Beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 59(3), pages 467-472, March.
    11. Nees Jan Eck & Ludo Waltman, 2010. "Software survey: VOSviewer, a computer program for bibliometric mapping," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(2), pages 523-538, August.
    12. Michael A. Crackower & Renu Sarao & Gavin Y. Oudit & Chana Yagil & Ivona Kozieradzki & Sam E. Scanga & Antonio J. Oliveira-dos-Santos & Joan da Costa & Liyong Zhang & York Pei & James Scholey & Carlos, 2002. "Angiotensin-converting enzyme 2 is an essential regulator of heart function," Nature, Nature, vol. 417(6891), pages 822-828, June.
    13. Lin Zhang & Wenjing Zhao & Beibei Sun & Ying Huang & Wolfgang Glänzel, 2020. "How scientific research reacts to international public health emergencies: a global analysis of response patterns," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 747-773, July.
    14. Roman Wölfel & Victor M. Corman & Wolfgang Guggemos & Michael Seilmaier & Sabine Zange & Marcel A. Müller & Daniela Niemeyer & Terry C. Jones & Patrick Vollmar & Camilla Rothe & Michael Hoelscher & To, 2020. "Virological assessment of hospitalized patients with COVID-2019," Nature, Nature, vol. 581(7809), pages 465-469, May.
    15. Xiuyuan Ou & Yan Liu & Xiaobo Lei & Pei Li & Dan Mi & Lili Ren & Li Guo & Ruixuan Guo & Ting Chen & Jiaxin Hu & Zichun Xiang & Zhixia Mu & Xing Chen & Jieyong Chen & Keping Hu & Qi Jin & Jianwei Wang , 2020. "Characterization of spike glycoprotein of SARS-CoV-2 on virus entry and its immune cross-reactivity with SARS-CoV," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    16. Anthony F. J. Raan, 2017. "Sleeping beauties cited in patents: Is there also a dormitory of inventions?," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(3), pages 1123-1156, March.
    17. Jian Shang & Gang Ye & Ke Shi & Yushun Wan & Chuming Luo & Hideki Aihara & Qibin Geng & Ashley Auerbach & Fang Li, 2020. "Structural basis of receptor recognition by SARS-CoV-2," Nature, Nature, vol. 581(7807), pages 221-224, May.
    18. Milad Haghani & Michiel C. J. Bliemer, 2020. "Covid-19 pandemic and the unprecedented mobilisation of scholarly efforts prompted by a health crisis: Scientometric comparisons across SARS, MERS and 2019-nCoV literature," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2695-2726, December.
    19. Henry Small, 1973. "Co‐citation in the scientific literature: A new measure of the relationship between two documents," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 24(4), pages 265-269, July.
    20. Wenhui Li & Michael J. Moore & Natalya Vasilieva & Jianhua Sui & Swee Kee Wong & Michael A. Berne & Mohan Somasundaran & John L. Sullivan & Katherine Luzuriaga & Thomas C. Greenough & Hyeryun Choe & M, 2003. "Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus," Nature, Nature, vol. 426(6965), pages 450-454, November.
    21. Jian Du & Yishan Wu, 2018. "A parameter-free index for identifying under-cited sleeping beauties in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 959-971, August.
    22. Nicola Di Girolamo & Reint Meursinge Reynders, 2020. "Characteristics of scientific articles on COVID-19 published during the initial 3 months of the pandemic," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 795-812, October.
    23. J. Homolak & I. Kodvanj & D. Virag, 2020. "Preliminary analysis of COVID-19 academic information patterns: a call for open science in the times of closed borders," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2687-2701, September.
    24. Cornelia Betsch, 2020. "How behavioural science data helps mitigate the COVID-19 crisis," Nature Human Behaviour, Nature, vol. 4(5), pages 438-438, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jianhua Hou & Hao Li & Yang Zhang, 2023. "Altmetrics-based sleeping beauties: necessity or just a supplement?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(10), pages 5477-5506, October.
    2. Houcemeddine Turki & Mohamed Ali Hadj Taieb & Mohamed Ben Aouicha, 2022. "Awakening sleeping beauties during the COVID-19 pandemic influences the citation impact of their references," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(10), pages 6047-6050, October.
    3. Breno Santana Santos & Ivanovitch Silva & Luciana Lima & Patricia Takako Endo & Gisliany Alves & Marcel da Câmara Ribeiro-Dantas, 2022. "Discovering temporal scientometric knowledge in COVID-19 scholarly production," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(3), pages 1609-1642, March.
    4. Ignacio Rodríguez-Rodríguez & José-Víctor Rodríguez & Niloofar Shirvanizadeh & Andrés Ortiz & Domingo-Javier Pardo-Quiles, 2021. "Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining," IJERPH, MDPI, vol. 18(16), pages 1-29, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Tomokazu Yamaguchi & Midori Hoshizaki & Takafumi Minato & Satoru Nirasawa & Masamitsu N. Asaka & Mayumi Niiyama & Masaki Imai & Akihiko Uda & Jasper Fuk-Woo Chan & Saori Takahashi & Jianbo An & Akari , 2021. "ACE2-like carboxypeptidase B38-CAP protects from SARS-CoV-2-induced lung injury," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    2. Wenting Yang & Jiantong Zhang & Ruolin Ma, 2020. "The Prediction of Infectious Diseases: A Bibliometric Analysis," IJERPH, MDPI, vol. 17(17), pages 1-19, August.
    3. Fabian Zech & Daniel Schniertshauer & Christoph Jung & Alexandra Herrmann & Arne Cordsmeier & Qinya Xie & Rayhane Nchioua & Caterina Prelli Bozzo & Meta Volcic & Lennart Koepke & Janis A. Müller & Jan, 2021. "Spike residue 403 affects binding of coronavirus spikes to human ACE2," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Mona Farouk Ali, 2022. "Between panic and motivation: did the first wave of COVID-19 affect scientific publishing in Mediterranean countries?," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3083-3115, June.
    5. Gaviria-Marin, Magaly & Merigó, José M. & Baier-Fuentes, Hugo, 2019. "Knowledge management: A global examination based on bibliometric analysis," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 194-220.
    6. Zhichao Wang & Valentin Zelenyuk, 2021. "Performance Analysis of Hospitals in Australia and its Peers: A Systematic Review," CEPA Working Papers Series WP012021, School of Economics, University of Queensland, Australia.
    7. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    8. Zhigao Liu & Yimei Yin & Weidong Liu & Michael Dunford, 2015. "Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(1), pages 135-158, April.
    9. Kai Chen & Xiaoping Lin & Han Wang & Yujie Qiang & Jie Kong & Rui Huang & Haining Wang & Hui Liu, 2022. "Visualizing the Knowledge Base and Research Hotspot of Public Health Emergency Management: A Science Mapping Analysis-Based Study," Sustainability, MDPI, vol. 14(12), pages 1-23, June.
    10. Constantin Bürgi & Klaus Wohlrabe, 2022. "The influence of Covid-19 on publications in economics: bibliometric evidence from five working paper series," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5175-5189, September.
    11. Toshiyuki Hasumi & Mei-Shiu Chiu, 2022. "Online mathematics education as bio-eco-techno process: bibliometric analysis using co-authorship and bibliographic coupling," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(8), pages 4631-4654, August.
    12. Aliakbar Pourhatami & Mohammad Kaviyani-Charati & Bahareh Kargar & Hamed Baziyad & Maryam Kargar & Carlos Olmeda-Gómez, 2021. "Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(8), pages 6625-6657, August.
    13. Du, Jian & Li, Peixin & Haunschild, Robin & Sun, Yinan & Tang, Xiaoli, 2020. "Paper-patent citation linkages as early signs for predicting delayed recognized knowledge: Macro and micro evidence," Journal of Informetrics, Elsevier, vol. 14(2).
    14. Xiaomei Luo & Yuduo Wu & Lina Niu & Lucheng Huang, 2022. "Bibliometric Analysis of Health Technology Research: 1990~2020," IJERPH, MDPI, vol. 19(15), pages 1-17, July.
    15. Jianhua Hou & Xiucai Yang, 2019. "Patent sleeping beauties: evolutionary trajectories and identification methods," Scientometrics, Springer;Akadémiai Kiadó, vol. 120(1), pages 187-215, July.
    16. Boyack, Kevin W. & Klavans, Richard, 2014. "Including cited non-source items in a large-scale map of science: What difference does it make?," Journal of Informetrics, Elsevier, vol. 8(3), pages 569-580.
    17. Meijun Liu & Yi Bu & Chongyan Chen & Jian Xu & Daifeng Li & Yan Leng & Richard B. Freeman & Eric T. Meyer & Wonjin Yoon & Mujeen Sung & Minbyul Jeong & Jinhyuk Lee & Jaewoo Kang & Chao Min & Min Song , 2022. "Pandemics are catalysts of scientific novelty: Evidence from COVID‐19," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 73(8), pages 1065-1078, August.
    18. Török, Ádám & Konka, Boglárka & Nagy, Andrea Magda, 2023. "A koronavírus-járvány a közgazdasági szakirodalomban. Egy új határterület tudománymetriai elemzése [The coronavirus pandemic in the economics literature. The scientometric analysis of a new discipl," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(3), pages 284-304.
    19. Ci-Jyun Liang & Marvin H. Cheng, 2023. "Trends in Robotics Research in Occupational Safety and Health: A Scientometric Analysis and Review," IJERPH, MDPI, vol. 20(10), pages 1-21, May.
    20. Mingers, John & Leydesdorff, Loet, 2015. "A review of theory and practice in scientometrics," European Journal of Operational Research, Elsevier, vol. 246(1), pages 1-19.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:126:y:2021:i:8:d:10.1007_s11192-021-04036-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.