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Bibliometric analysis of Severe Acute Respiratory Syndrome-related research in the beginning stage

Author

Listed:
  • Wen-Ta Chiu

    (Wan-Fang Hospital)

  • Jing-Shan Huang

    (Cathay General Hospital)

  • Yuh-Shan Ho

    (Taipei Medical University - Wan-Fang Hospital)

Abstract

Severe Acute Respiratory Syndrome (SARS) has become the major of health issues since its outbreak early 2003. No analyses by bibliometric technique that have examined this topic exist in the literature. The objective of this study is to conduct a bibliometric analysis of all SARS-related publications in Science Citation Index (SCI) in the early stage. A systematic search was performed using the SCI for publications since SARS outbreak early 2003. Selected documents included 'severe acute respiratory syndrome' or 'SARS' as a part of its title, abstract, or keyword from the beginning stage of SARS outbreak, March till July 8, 2003. Analysis parameters included authorship, patterns of international collaboration, journals, language, document type, research institutional address, times cited, and reprint address. Citation analysis was mainly based on impact factor as defined by Journal Citation Reports(JCR) issued in 2002 and on the actual citation impact (ACI), which has been used to assess the impact relative to the whole field and has been defined as the ratio between individual citation per publication value and the total citation per publication value. Thirty-two percent of total share was published as news features, 25% as editorial materials, 22% as articles, 13% as letters, and the remaining being biographic items, corrections, meeting abstracts, and reprints. The US dominated the production by 30% of the total share followed closely by Hong Kong with 24%. Sixty-three percent of publication was published by the mainstream countries. The SARS publication pattern in the past few months suggests immediate citation, low collaboration rate, and English and mainstream country domination in production. We observed no associations of research indexes with the number of cases.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:scient:v:61:y:2004:i:1:d:10.1023_b:scie.0000037363.49623.28
    DOI: 10.1023/B:SCIE.0000037363.49623.28
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    References listed on IDEAS

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    1. Peter Ingwersen, 2000. "The International Visibility and Citation Impact of Scandinavian Research Articles in Selected Social Science Fields: The Decay of a Myth," Scientometrics, Springer;Akadémiai Kiadó, vol. 49(1), pages 39-61, August.
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    2. 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.
    3. Yang Cao & Sixing Zhou & Guobin Wang, 2013. "A bibliometric analysis of global laparoscopy research trends during 1997–2011," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 717-730, September.
    4. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    5. 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.
    6. 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.
    7. Yu Zhang & Morteza Saberi & Elizabeth Chang, 2018. "A semantic-based knowledge fusion model for solution-oriented information network development: a case study in intrusion detection field," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 857-886, November.
    8. Kuang-Yu Liao & Yueh-Hsin Wang & Hui-Chun Li & Tzeng-Ji Chen & Shinn-Jang Hwang, 2021. "COVID-19 Publications in Family Medicine Journals in 2020: A PubMed-Based Bibliometric Analysis," IJERPH, MDPI, vol. 18(15), pages 1-15, July.
    9. 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.
    10. Simone Belli & Rogério Mugnaini & Joan Baltà & Ernest Abadal, 2020. "Coronavirus mapping in scientific publications: When science advances rapidly and collectively, is access to this knowledge open to society?," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2661-2685, September.
    11. Su, Hsin-Ning & Lee, Pei-Chun, 2012. "Framing the structure of global open innovation research," Journal of Informetrics, Elsevier, vol. 6(2), pages 202-216.
    12. Jinshui Sun & Jinren Ni & Yuh-Shan Ho, 2011. "Scientometric analysis of coastal eutrophication research during the period of 1993 to 2008," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 13(2), pages 353-366, April.
    13. Yu Zhang & Min Wang & Morteza Saberi & Elizabeth Chang, 2020. "Knowledge fusion through academic articles: a survey of definitions, techniques, applications and challenges," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 2637-2666, December.

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