| Literature DB >> 33618275 |
Ahmad Azam Malik1, Nadeem Shafique Butt2, Mohammad Abid Bashir3, Syed Amir Gilani4.
Abstract
Infectious diseases remain a complex, recurring, and challenging public health hazard. Coronaviruses have led to multidimensional consequences on health, mobility, and socio-economic conditions. Despite the significance and magnitude of impact from epidemics to the pandemic, literature is sparse on comprehensive coronaviruses related research performance over time. This study aimed at a scientometric evaluation of coronaviruses related literature including COVID-19. Data related to Coronavirus research was extracted from the Web of Science (WoS). All types of publications (28,846) were included and retrieved. To measure the quantity and quality of the publications, "R-Bibliometrix" package was used for detailed analysis exploring a wide range of indicators. Generally, an increasing trend was observed over time led by the USA and China followed by the United Kingdom, Europe, and few other developed countries. The last two decades contributed around 39.5% of documents while only 06 months of 2020 additionally contributed around 46.5% of total documents. Earlier shorter spikes of increased post epidemic publications followed by decreased productivity were detected in the last 2 decades and showed a lack of continuity-'a research epidemic following a disease epidemic'. Articles (53.4%) were the most common publication type. Journal of Virology, British Medical Journal (BMJ), and Virology were leading sources while BMJ, and Lancet showed increased contributions recently. Overall, similar trends of top authors were observed in terms of productivity, impact, collaborations, funding sources, and affiliations with few exceptions mainly from affected regions. Top 20 countries contributed >89% of documents suggesting a lack of global efforts. Networking was found to be mainly among developed nations with limited contributions from resource-limited countries perhaps requiring more cooperation. Recent post-COVID publications rise is highest, unprecedented, and rapidly growing. Authors strongly recommend recent COVID-19 pandemic as a call for continuous, more cooperative, and collective global research.Entities:
Keywords: Bibliometrics; COVID; Coronavirus; Public health; Web of science
Year: 2020 PMID: 33618275 PMCID: PMC7833583 DOI: 10.1016/j.jiph.2020.12.008
Source DB: PubMed Journal: J Infect Public Health ISSN: 1876-0341 Impact factor: 3.718
Summary table.
| Description | 1900–1999 | 2000–2019 | 2020 | 1900−2020 |
|---|---|---|---|---|
| Documents | 4009 | 11,403 | 13,434 | 28,846 |
| Sources (Journals, Books, etc.) | 983 | 2479 | 2493 | 4821 |
| Keywords Plus (ID) | 3054 | 12,205 | 4886 | 16,402 |
| Author's Keywords (DE) | 1257 | 11,618 | 10,506 | 20,888 |
| Average citations per documents | 22.31 | 23.12 | 4.35 | 14.27 |
| Authors | 6504 | 30,289 | 45,332 | 76,016 |
| Author Appearances | 11,642 | 66,896 | 67,544 | 146,082 |
| Authors of single-authored documents | 928 | 1089 | 2067 | 4013 |
| Authors of multi-authored documents | 5576 | 29,200 | 43,265 | 72,003 |
| Single-authored documents | 1190 | 1621 | 2927 | 5738 |
| Documents per Author | 0.62 | 0.38 | 0.30 | 0.38 |
| Authors per Document | 1.62 | 2.66 | 3.37 | 2.64 |
| Co-Authors per Documents | 2.9 | 5.87 | 5.03 | 5.06 |
| Authors’ countries | 64 | 115 | 131 | 140 |
| Group Authors | – | 194 | 564 | 710 |
| Research Areas | 120 | 146 | 141 | 152 |
| Web of Science categories | 171 | 232 | 217 | 249 |
| Organizations | 1356 | 5534 | 12,225 | 15,410 |
| Funding Sources | 22 (9.8%) | 3685 (36.3%) | 3987 (22.1%) | 7125 (25.8%) |
| Open access | 1121 (27.9%) | 7145 (62.6%) | 11,611 (86.4%) | 19,877 (68.9%) |
| Collaboration Index | 1.98 | 2.99 | 4.12 | 3.12 |
| Document types | ||||
| Article | 2838 (70.8%) | 7790 (68.3%) | 4774 (35.5%) | 15,402 (53.4%) |
| Editorial | 33 (0.8%) | 589 5.2(%) | 3683 (27.4%) | 4305 (14.9%) |
| Letter/Correspondence | 80 (2%) | 493 (4.3%) | 3052 (22.7%) | 3625 (12.6%) |
| Reviews | 324 (8%) | 727 (6.4%) | 1167 (8.7%) | 2218 (7.7%) |
| Others | 734 (18.3%) | 1804 (15.8%) | 758 (5.6%) | 3296 (11.4%) |
Data retrieved on 3rd July 2020.
Fig. 1Year-wise distribution of publications and Mean total citation per year (1900–2019).
Top 20 most productive Authors and their impact (1900-2020).
Top 20 countries with Corresponding authors.
| Country | Documents | % Contribution | SCP | MCP | MCP Ratio | Country Appearances |
|---|---|---|---|---|---|---|
| USA | 5581 | 23.30 | 4573 | 1008 | 0.1806 | 32,716 |
| China | 4931 | 20.60 | 4035 | 896 | 0.1817 | 33,415 |
| Italy | 1557 | 6.50 | 1266 | 291 | 0.1869 | 10,602 |
| United Kingdom | 1436 | 6.00 | 1043 | 393 | 0.2737 | 8604 |
| Canada | 932 | 3.89 | 710 | 222 | 0.2382 | 6510 |
| Germany | 886 | 3.70 | 600 | 286 | 0.3228 | 6104 |
| France | 828 | 3.46 | 642 | 186 | 0.2246 | 6347 |
| Japan | 676 | 2.82 | 583 | 93 | 0.1376 | 3897 |
| India | 603 | 2.52 | 500 | 103 | 0.1708 | 3092 |
| Korea | 559 | 2.33 | 489 | 70 | 0.1252 | 4061 |
| Australia | 461 | 1.93 | 298 | 163 | 0.3536 | 3302 |
| Singapore | 456 | 1.90 | 385 | 71 | 0.1557 | 2700 |
| Spain | 411 | 1.72 | 327 | 84 | 0.2044 | 2854 |
| Netherlands | 400 | 1.67 | 254 | 146 | 0.365 | 2669 |
| Brazil | 374 | 1.56 | 310 | 64 | 0.1711 | 2422 |
| Saudi Arabia | 350 | 1.46 | 168 | 182 | 0.52 | 3541 |
| Iran | 325 | 1.36 | 266 | 59 | 0.1815 | 2254 |
| Turkey | 262 | 1.09 | 239 | 23 | 0.0878 | 1396 |
| Switzerland | 231 | 0.97 | 135 | 96 | 0.4156 | 1929 |
| Belgium | 219 | 0.92 | 141 | 78 | 0.3562 | 1207 |
CA-Corresponding author, SCP: Single or Intra-country publication, MCP: Multiple or Inter-country publication.
Fig. 2(a) Three Field Plot for the top 20 most productive countries, authors and affiliations (1900–2019). (b) Three Field Plot for the top 20 most productive countries, authors and affiliations (2020).
Top 20 highly cited documents.
| Document | Year | Internal citations | Global citations | TC per Year |
|---|---|---|---|---|
| Huang CL, 2020, Lancet | 2020 | 2132 | 2191 | 2190 |
| Ksiazek TG, 2003, New Engl J Med | 2003 | 1532 | 2009 | 112 |
| Drosten C, 2003, New Engl J Med | 2003 | 1506 | 1911 | 106 |
| Zaki AM, 2012, New Engl J Med | 2012 | 1231 | 1539 | 171 |
| Peiris JSM, 2003, Lancet-a | 2003 | 1252 | 1534 | 85 |
| Rota PA, 2003, Science | 2003 | 1239 | 1523 | 85 |
| Marra MA, 2003, Science | 2003 | 1056 | 1313 | 73 |
| Wang DW, 2020, Jama-J Am Med Assoc | 2020 | 1270 | 1302 | 1300 |
| Chen NS, 2020, Lancet | 2020 | 1183 | 1205 | 1200 |
| Li WH, 2003, Nature | 2003 | 903 | 1200 | 67 |
| Guan W, 2020, New Engl J Med | 2020 | 1167 | 1188 | 1190 |
| Zhu N, 2020, New Engl J Med | 2020 | 1125 | 1158 | 1160 |
| Lee N, 2003, New Engl J Med | 2003 | 861 | 1079 | 60 |
| Koren S, 2017, Genome Res | 2017 | 2 | 1053 | 263 |
| Guerin C, 2013, New Engl J Med | 2013 | 72 | 1048 | 131 |
| Guan Y, 2003, Science | 2003 | 673 | 978 | 54 |
| Peiris JSM, 2003, Lancet | 2003 | 790 | 961 | 53 |
| Li WD, 2005, Science | 2005 | 504 | 926 | 58 |
| Marcais G, 2011, Bioinformatics | 2011 | 74 | 866 | 87 |
| Zhou P, 2020, Nature | 2020 | 811 | 846 | 846 |
TC: Total Citations, Internal Citations (within selected documents), Global Citations (in Web of Science).
Fig. 3(a) Year-wise growth of 10 most productive sources. (b) Conceptual structure word map of keywords.