| Literature DB >> 35252087 |
Siyu Hu1, Xi Wang2, Yucong Ma1, Hang Cheng1.
Abstract
BACKGROUND: Coronavirus disease 2019 (COVID-19) emerged in 2019 and has since caused a global pandemic. Since its emergence, COVID-19 has hugely impacted healthcare, including pediatrics. This study aimed to explore the current status and hotspots of pediatric COVID-19 research using bibliometric analysis.Entities:
Keywords: COVID-19; VOSviewer; bibliometric analysis; childhood; research hotspot; research trends
Mesh:
Year: 2022 PMID: 35252087 PMCID: PMC8888448 DOI: 10.3389/fpubh.2022.798005
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flow diagram of the screening process used to identify publications about pediatric COVID-19.
Figure 2Ten countries with the most articles. The x-axis shows the numbers of articles, and the y-axis shows the names of the countries.
Ten authors with the greatest number of publications.
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| 1 | Villani A | 18 | University of Padua | Italy |
| 2 | Shao Jianbo | 15 | Huazhong University of Science and Technology | China |
| 3 | Buonsenso D | 14 | IRCCS Policlinico Gemelli | Italy |
| 4a | Li Hui | 11 | Huazhong University of Science and Technology | China |
| 4b | Bassiri H | 11 | University of Pennsylvania | USA |
| 4c | Behrens EM | 11 | University of Pennsylvania | USA |
| 4d | Campana A | 11 | IRCCS Bambino Gesu | Italy |
| 4e | Chiotos K | 11 | Childrens Hospital of Philadelphia | USA |
| 4f | Lanari M | 11 | University of Bologna | Italy |
| 4g | Lu Xiaoxiao | 11 | Huazhong University of Science and Technology | China |
Ten most highly cited articles.
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| Dong YY | Epidemiology of COVID-19 among children in China | 1586 | Q1 | 7.124 | Pediatrics | USA |
| Bialek S | Coronavirus disease 2019 in children-United States, February 12-April 2, 2020 | 678 | Q1 | 17.586 | MMWR-Morbidity and mortality weekly report | USA |
| Xu Y | Characteristics of pediatric SARS-CoV-2 infection and potential evidence for persistent fecal viral shedding | 650 | Q1 | 53.44 | Nature medicine | USA |
| Qiu HY | Clinical and epidemiological features of 36 children with coronavirus disease 2019 (COVID-19) in Zhejiang, China: an observational cohort study | 529 | Q1 | 25.071 | Lancet infectious diseases | UK |
| Whittaker E | Clinical characteristics of 58 children with a pediatric inflammatory multisystem syndrome temporally associated with SARS-CoV-2 | 525 | Q1 | 56.272 | JAMA-Journal of the american medical association | USA |
| Xia W | Clinical and CT features in pediatric patients with COVID-19 infection: different points from adults | 456 | Q2 | 3.309 | Pediatric pulmonology | USA |
| Toubiana J | Kawasaki-like multisystem inflammatory syndrome in children during the COVID-19 pandemic in Paris, France: prospective observational study | 380 | Q1 | 39.89 | BMJ-British medical journal | UK |
| Belhadjer Z | Acute heart failure in multisystem inflammatory syndrome in children in the context of global SARS-CoV-2 pandemic | 372 | Q1 | 29.69 | Circulation | UK |
| Roberton T | Early estimates of the indirect effects of the COVID-19 pandemic on maternal and child mortality in low-income and middle-income countries: a modeling study | 319 | Q1 | 26.763 | Lancet global health | USA |
| Shekerdemian LS | Characteristics and outcomes of children with coronavirus disease 2019 (COVID-19) infection admitted to US and canadian pediatric intensive care units | 314 | Q1 | 16.193 | JAMA pediatrics | USA |
Ten institutions with the most articles.
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| 1 | Huazhong University of Science and Technology | 76 | 1,910 | 25.1316 | China |
| 2 | Harvard Medical School | 67 | 877 | 13.0896 | USA |
| 3 | University of Pennsylvania | 62 | 1,837 | 29.629 | USA |
| 4 | Boston Children's Hospital | 61 | 541 | 8.8689 | USA |
| 5 | Columbia University | 57 | 1,116 | 19.5789 | USA |
| 6 | Children's Hospital of Philadelphia | 56 | 1,509 | 26.9464 | USA |
| 7 | University of Milan | 53 | 406 | 7.6604 | Italy |
| 8 | University of Toronto | 52 | 577 | 11.0962 | UK |
| 9 | University of Washington | 46 | 588 | 12.7826 | USA |
| 10 | University of Colorado | 43 | 227 | 5.2791 | USA |
Ten institutions with the most frequently cited articles.
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| 1 | Shanghai Jiao Tong University | 16 | 1,933 | 120.8125 | China |
| 2 | Huazhong University of Science and Technology | 76 | 1,910 | 25.1316 | China |
| 3 | University of Pennsylvania | 62 | 1,837 | 29.629 | USA |
| 4 | Xi'an Jiao Tong University | 6 | 1,623 | 270.5 | China |
| 5 | Nanjing Medical University | 8 | 1,607 | 200.875 | China |
| 6 | Anhui Medical University | 3 | 1,587 | 529 | China |
| 7 | Children's Hospital of Philadelphia | 56 | 1,509 | 26.9464 | USA |
| 8 | Center for Disease Control and Prevention | 19 | 1,395 | 73.4211 | USA |
| 9 | Columbia University | 57 | 1,116 | 19.5789 | USA |
| 10 | University of Paris | 24 | 1,033 | 43.0417 | France |
Ten active journals with the greatest number of articles.
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| 1 | Frontiers in pediatrics | 106 | 3.418 | Q1 | 429 | Switzerland |
| 2 | Pediatric infectious disease journal | 85 | 2.219 | Q4 | 1,061 | USA |
| 3 | International journal of environmental research and public health | 65 | 3.39 | Q1 | 217 | Switzerland |
| 4 | Pediatrics | 64 | 7.125 | Q1 | 2646 | USA |
| 5 | Cureus | 45 | — | Q3 | 99 | USA |
| 6 | Pediatric pulmonology | 43 | 3.039 | Q2 | 735 | USA |
| 7 | European journal of pediatrics | 42 | 3.183 | Q1 | 207 | Germany |
| 8 | Frontiers in psychology | 40 | 2.988 | Q2 | 5 | Switzerland |
| 9 | Journal of the pediatric infectious diseases society | 40 | 3.164 | Q1 | 483 | UK |
| 10 | Child abuse and neglect | 37 | 3.928 | Q1 | 204 | USA |
Figure 3Analysis of the co-occurrence of countries and authors associated with publications on pediatric COVID-19. (A) Distribution of co-authorship among countries that formed clusters, with the same color representing one cluster. The number of co-authored articles contributed by each country is represented by the size of the circle: the higher contribution of co-authored articles, the larger the circle for the country. Cooperation among countries is represented by the distance between two countries: the closer the distance, the more frequent the cooperation among countries. (B) Distribution of co-authorship among authors. The larger the circle of an author, the more co-authored articles that author has contributed, and the more densely connected the lines between authors, the more collaborations they have.
Figure 4Analysis of keywords in publications on pediatric COVID-19. (A) A map of keywords in publications on pediatric COVID-19. The words were divided into two clusters with different colors generated by default: “social research” (cluster 1: left and red) and “clinical research” (cluster 2: right and green). A large circle indicates that the keywords appear at a high frequency. (B) The average frequency of appearance of the keyword is depicted from deep blue to yellow. If the keyword is closer to deep blue, then the average appearance of the keyword is higher. If the keyword is closer to yellow, then the average appearance is lesser. Two keywords were considered to co-occur if they both occurred on the same line in the main article. The smaller the distance between two keywords, the larger the number of co-occurrences of the keywords. (C) Comparison of clusters 1 and 2 over time: the X-axis shows the cluster, and the Y-axis shows the average month of the pandemic outbreak. ***P < 0.001.