year 14, Issue 1 (January - February 2020)                   Iran J Med Microbiol 2020, 14(1): 1-16 | Back to browse issues page


XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Danesh F, Ghavidel S. Coronavirus: Scientometrics of 50 Years of Global Scientific Productions. Iran J Med Microbiol 2020; 14 (1) :1-16
URL: http://ijmm.ir/article-1-1071-en.html
1- Information Management Research Department, Regional Information Center for Science and Technology (RICeST), Shiraz, Iran , farshiddanesh@ricest.ac.ir
2- Department of knowledge and Information Science, School of Psychology and Educational Sciences, Kharazmi University, Tehran, Iran
Abstract:   (11234 Views)
Background:  Scientometrics studies are one of the most efficient methods of quantitative evaluation of the scientific outputs of valuable information and citation databases for understanding and observing the status of scientific publications in different subject areas. The main aim of this article was to study the 50 years of Coronavirus scientific publications in the world.
Materials & Methods:  This applied research was carried out using scientometrics methods and an analytical approach. The statistical population of this article includes 5128 Coronavirus subject area documents indexed on the WoS from 1970 to 2019. The keywords were extracted from MeSH and analyzed using Excel 2016.
Results:  Data analysis showed that the highest science production was in 2005, and the highest citation number was in 2019. “Enjuanes L.” is the most proliferated author, the United States, the most productive country, and the University of Hong Kong, the top organization in Coronavirus in the last half-century.
Conclusion:   The results showed, there is a direct relationship between the Coronavirus outbreaks and the amount of Scientific Publications in this area in the World. The quality of the researchers' productions in this area can be deliberated by scientific methods and researchers' self-citation has affected their h-index. For health care researchers, policymakers, and planners, it is necessary to be aware of the results of scientific studies of strategic and vital research areas, such as Coronavirus, to identify more appropriate therapeutic goals, make better decisions, and provide more effective solutions in the shortest time.
Full-Text [PDF 980 kb]   (4031 Downloads) |   |   Full-Text (HTML)  (13012 Views)  
Type of Study: Original Research Article | Subject: Medical Virology
Received: 2020/02/20 | Accepted: 2020/03/10 | ePublished: 2020/03/14

References
1. World Health Organization (WHO). Novel Coronavirus (2019-nCoV). Available at: https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200211-sitrep-22-ncov.pdf (accessed on 14 February 2020).
2. Gralinski EL ،Menachery VD. Return of the Coronavirus: 2019-nCoV. Viruses, 2020; 12(2): 135. [DOI:10.3390/v12020135] [PMID]
3. Zhu Z, Zhang Z, Chen W, Cai Z, Ge X, Zhu H, Jiang T, Tan W, and Peng Y. Predicting the receptor-binding domain usage of the coronavirus based on kmer frequency on spike protein. Infection, genetics, and evolution: journal of molecular epidemiology and evolutionary genetics in infectious diseases. 2018 Jul; 61:183-4. [DOI:10.1016/j.meegid.2018.03.028] [PMID]
4. Li G, Fan Y, Lai Y, Han T, Li Z, Zhou P, Pan P, Wang W, Hu D, Liu X, Zhang Q. Coronavirus Infections, and Immune Responses. Journal of Medical Virology. 2020 Jan 25. [DOI:10.1002/jmv.25685] [PMID]
5. Zhao S, Musa SS, Lin Q, Ran J, Yang G & et al. Estimating the Unreported Number of Novel Coronavirus (2019-nCoV) Cases in China in the First Half of January 2020: A Data-Driven Modelling Analysis of the Early Outbreak. J. Clin. Med, 2020; 9(2): 388. [DOI:10.3390/jcm9020388] [PMID]
6. Wang M, Cao R, Zhang L & et al. Remdesivir and chloroquine effectively inhibit the recently emerged novel coronavirus (2019-nCoV) in vitro. Cell Res, 2020. [DOI:10.1038/s41422-020-0282-0] [PMID] [PMCID]
7. Minjin W, Yanbing Z, Zhiyong Z, Zongan L, Yu C, Hong T, Bin S, Zixing H, Yan K, Ping F, Binwu Y, Weimin L. A precision medicine approach to managing Wuhan Coronavirus pneumonia. Precision Clinical Medicine, 2020, pbaa002,
8. Liu J, Zheng X, Tong Q, Li W, Wang B, Sutter K, Trilling M, Lu M, Dittmer U and Yang D. Overlapping and discrete aspects of the pathology and pathogenesis of the emerging human pathogenic coronaviruses SARS‐CoV, MERS‐CoV, and 2019‐nCoV. J Med Virol, 2020; Accepted Author Manuscript. [DOI:10.1002/jmv.25709] [PMID]
9. Daszak P, Olival KJ, Li H. A strategy to prevent future pandemics similar to the 2019-nCoV outbreak. Biosafety and Health, 2020; in Press, Elsevier. [DOI:10.1016/j.bsheal.2020.01.003]
10. Tavakoli A, Karbalaie Niya M H, Keshavarz M, Safarnezhad Tameshke F, Monavari S H. Middle East Respiratory Syndrome Coronavirus (MERS-CoV). Iran J Med Microbiol, 2017; 11 (1):1-8.
11. Momattin H, Al-Ali AY, Al-Tawfiq JA. A Systematic Review of therapeutic agents for the treatment of the Middle East Respiratory Syndrome Coronavirus (MERS-CoV). Travel Medicine and Infectious Disease, 2019; 30: 9-18. [DOI:10.1016/j.tmaid.2019.06.012] [PMID]
12. Vahdat K, Amini A, Najafi A, HaerNejad M J. A Review of Novel Coronavirus, cause of Middle East Respiratory Syndrome. Iran South Med J Bimonthly, 2014; 16 (6):486-492. (Persian)
13. Cui J, Li F & Shi Z. Origin and evolution of pathogenic coronaviruses. Nature Reviews Microbiology (Nat Rev Microbiol), 2019; 17: 181-192. [DOI:10.1038/s41579-018-0118-9] [PMID]
14. Bonilla-Aldana DK, Quintero-Rada K, Montoya-Posada JP, Ramirez S, Paniz-Mondolfi A, Rabaan A, Sah R, Rodríguez-Morales AJ. SARS-CoV, MERS-CoV and now the 2019-novel CoV: Have we investigated enough about coronaviruses?-A bibliometric analysis. Travel medicine and infectious disease. 2020 Jan 30:101566. [DOI:10.1016/j.tmaid.2020.101566] [PMID]
15. Nishiura H, Kobayashi T, Yang Y, Hayashi K, Miyama T, Kinoshita R, Linton NM, Jung SM, Yuan B, Suzuki A, Akhmetzhanov AR. The Rate of Underascertainment of Novel Coronavirus (2019-nCoV) Infection: Estimation Using Japanese Passengers Data on Evacuation Flights. J. Clin. Med, 2020; 9, 419. [DOI:10.3390/jcm9020419] [PMID]
16. Yazdani K, Rahimi-Movaghar A, Nedjat S, Ghalichi L, Khalili M. A 5-year scientometric analysis of research centers affiliated to Tehran University of Medical Sciences. Med J Islam Repub Iran, 2015; 29 (1): 375-384.
17. Yazdani K, Nejat S, Rahimi-Movaghar A, Ghalichee L, Khalili M. Scientometrics: Review of Concepts, Applications, and Indicators. Iranian Journal of Epidemiology (IJE), 2015; 10 (4): 78-88. (Persian)
18. Molinari A, Molinari JF. Mathematical aspects of a new criterion for ranking scientific institutions based on the h-index. Scientometrics, 2008; 75(2): 339-56. [DOI:10.1007/s11192-007-1872-z]
19. Molinari JF, Molinari A. A new methodology for ranking scientific institutions. Scientometrics. 2008; 2008; 75(1):163-74. [DOI:10.1007/s11192-007-1853-2]
20. Rezagholizadeh A, Shayanfar A, Hanaee J, Jouyban A. Scientometric evaluation of pharmaceutical chemistry departments of faculties of pharmacy in Iran. Description of Health 2017; 8(2): 75-87. (Persian)
21. Ivancheva LE. Scientometrics Today: A Methodological Overview. Collnet Journal of Scientometrics and Information Management, 2008; 2: 47-56. [DOI:10.1080/09737766.2008.10700853]
22. Makkizadeh F & Sa'adat F. Bibliometric and thematic analysis of articles in the field of infertility (2011-2015). International journal of reproductive biomedicine (Yazd, Iran) 2017; 15(11): 719-728. (Persian) [DOI:10.29252/ijrm.15.11.719]
23. Singh N, Brar RS, Chavan SB & Singh J. Scientometric analyses and visualization of a scientific outcome on the Nipah virus. CURRENT SCIENCE (A Fortnightly Journal of Research), 2019; 117(10). [DOI:10.18520/cs/v117/i10/1574-1584]
24. Zyoud SH. Global research trends of Middle East respiratory syndrome coronavirus: a bibliometric analysis. BMC Infect Dis, 2016; 16, 255. [DOI:10.1186/s12879-016-1600-5] [PMID] [PMCID]
25. Danesh F, Ghavidel S. Visualizing the Clusters and Dynamics of HPV Research Area. Iran J Med Microbiol, 2019; 13 (4) :266-278. [DOI:10.30699/ijmm.13.4.266]
26. Khasseh A, Fakhar M, Soosaraei M, Sadeghi S. Evaluation of scientific performance of Iranian researchers in parasitology domain in ISI databases. Iran J Med Microbiol, 2011; 4 (4):41-50.
27. Emami Z, Hariri N, Khamseh M E, Nooshinfard F. Mapping diabetes research in Middle Eastern countries during 2007-2013: A scientometric analysis. Medical Journal of the Islamic Republic of Iran, Med J Islam Repub Iran, 2018; 32 (1):486-494. [DOI:10.14196/mjiri.32.84] [PMID] [PMCID]
28. Shirshahi S & et al. mapping the structure of surgery discipline in the Science Citation Index. Isfahan University of Medical Sciences, Health Information Management (Health Inf Manage), 2014; 11(7): 830-839.
29. Morovati M, Sotudeh H. Scientific Productivity in Neonates' Health Field in Scopus. Int J Pediatr, 2016; 4(6): 1837-1846.
30. Soheili F, Danesh F, Mesrinejad F & Isfandyari Moghadam A. Lotka's Law of Scientific Productivity and Bradford's Law of Scatter among Researchers at Isfahan University of Medical Sciences based on Web of Science Database. Isfahan University of Medical Sciences, Health Information Management (Health Inf Manage (2012; 8(6): 766-773.
31. Birkle C, Pendlebury DA, Schnell J & Adams J. Web of Science as a data source for research on scientific and scholarly activity. Quantitative Science Studies, 2020; 1(1), 363-376. [DOI:10.1162/qss_a_00018]
32. Clarivate Analytics, available at https://clarivate.com/webofsciencegroup/essays/impact-factor/ (access Feb 12, 2020).
33. Grech V, Rizk DEE. Increasing importance of research metrics: Journal Impact Factor and h-index. Int Urogynecol J, 2018; 29: 619-620. [DOI:10.1007/s00192-018-3604-8] [PMID]
34. Eigenfactor, available at http://www.eigenfactor.org (access March 6, 2020).
35. Bergstrom TC, West JD, Wiseman MA. The Eigenfactor™ Metrics. The Journal of Neuroscience (J Neurosci), 2008; 28(45): 11433-11434. [DOI:10.1523/JNEUROSCI.0003-08.2008] [PMID] [PMCID]
36. Bergstrom C. Eigenfactor: measuring the value and prestige of scholarly journals. C&RL News, 2007; 314-316. [DOI:10.5860/crln.68.5.7804]
37. Song Z, Xu Y, Bao L, Zhang L, Yu P, Qu Y, Zhu H, Zhao W, Han Y, Qin C. From SARS to MERS, Thrusting Coronaviruses into the Spotlight. Viruses, 2019; 11(1): 59. [DOI:10.3390/v11010059] [PMID] [PMCID]
38. Leist SR, Jensen KL, Baric RS, Sheahan TP. Increasing the translation of mousemodels of MERS coronavirus pathogenesisthrough kinetic hematological analysis. PLoS ONE, 2019; 14(7): e0220126. [DOI:10.1371/journal.pone.0220126] [PMID] [PMCID]
39. Noroozi chakoli A, Jafari S. Analytical assessment of the relationship between the quality and self-citation in Persian Humanities Journals. Caspian Journal of Scientometrics) CJS(. 2014; 1 (2): 57-65.
40. Hirsch JE. hα: An index to quantify an individual's scientific leadership. Scientometrics, 2019; 118, 673-686. [DOI:10.1007/s11192-018-2994-1]
41. dehghanizadeh M, Haji Zeinolabedini M, hasanzadeh M. Citation analysis of the arti-cles from the faculty members of Tehran University indexed in Islamic World Science Citation Center (ISC), 2006-2011. Scientometrics Research Journal (Scientific Bi-Quarterly of Shahed University), 2016; 2(3): 99-111.
42. Shaibu M, Anthony M & Emmanuel N. On the influence of uncited publications on a researcher's h-index. Scientometrics, Springer; Akadémiai Kiadó, 2020; 122(3): 1791-1799. [DOI:10.1007/s11192-020-03356-1]

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Medical Microbiology

Designed & Developed by : Yektaweb | Publisher: Farname Inc