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Aim and Background: The coronavirus disease 2019 (Covid-19) virus pandemic is still ravaging the world with its ongoing resurgence and the continuous mutation, suggesting the need for continuous research on safe and effective novel vaccines. Presently several types of vaccines have been developed and emerged in the global market to control COVID-19 virus. Consequently, the knowledge and information on COVID-19 have been expanding at a high level. Researchers need to gain relevant knowledge regarding the different vaccines;however scattered information makes this process time-consuming and laborious. The present study aimed to evaluate the characteristics and trends in global COVID-19 vaccine high-cited literature using bibliometric and visualizations methods and offer some directions and suggestions for future research. Methodology: Studies published between December 2019 and 22 Nov 2022 on COVID-19 vaccines were retrieved from the Scopus database. From the 16026 studies retrieved, 406 were identified as high-cited papers (HCPs) having received 100 or more citations. From the 406 HCPs, information about publications outputs, countries, institutions, journals, keywords, and citation counts was identified. Data analysis and visualization were conducted using Microsoft Excel, VOSviewer and Bibliometrix R software. Result(s): The 406 global HCPs on COVID-19 vaccines research were identified in Scopus database since Dec 2019 till 30 Nov 2022 using a search strategy, which received 123614 citations, averaging 304.17 citations per publication (CPP). An external funding was received by 53.20% (216 publications), which were cited 76107 times (with an average of 352.35 CPP). The 7086 authors from 694 organizations affiliated to 76 countries and publishing in 121 journals were involved in global COVID-19 vaccine research. The most productive countries were USA (n=213), U.K (n=91), China (n=36) and Germany (n=35). The most impactful countries in terms of citations per paper (CPP) and relative citation index (RCI) were South Africa (794.68 and 2.61), Germany (507.11 and 1.67), U.K. (396.59 and 1.30) and Spain (367.5 and 1.121). The most productive organizations were University of Oxford, U.K., Imperial College London, U.K. (n=25 each), Center for Disease Control and Prevention (CDC), USA and Tel Aviv University (n=19 each) and the most impactful organizations were University of Cambridge, U.K (783.4 and 2.57), Emory University, USA (780.1 and 2.56), John Hopkins Bloomberg School of Public Health, USA (702.67 and 2.31) and National Institute of Allergy and Infectious Diseases. USA (676.41 and 2.22). The most productive authors were A.J. Pollard (n=16) and T. Lambe (n=14) (of University of Oxford), O. Tureci and P.R. Dormitzer (n=12 each) (of BioNTechSE, Germany) and the most impactful were D. Cooper (1239.22 and 4.07), K.J. Janseu (1228.11 and 4.03) (BioNTechSE, Germany, K.A. Swanson (987.0 and 3.24) (University of Oxford, U.K.) and P.R. Dormitzer (983 and 3.23) (BioNTechSE, Germany). The most productive journals were New England Journal of Medicine (n=53), The Lancet (n=28), Nature (n=22) and JAMA (N=17). The most impactful journals (as per citations per paper) were New England Journal of Medicine (613.15), Lancet (496.39), Human Vaccines and Immunotherapeutics (369.67) and Nature (360.64). Among population age groups, the major focus was on adults (51.48%) and Middle Aged (39.16%). Among publication types, the major focus was Clinical Studies (26.85%), Epidemiology (22.66%) and Genetics (21.92%). The most significant keywords by frequency of appearances were "Covid-19" (n=388), "Covid-19 Vaccines" (n=357), "Vaccination" (n=221), "Prevention and Control" (n=181) and "Vaccine Immunogenicity" (n=133), Conclusion(s): The HCPs in COVID-19 vaccine research was done mainly by the authors and institutions of high-income Countries (HIC) and was published in high-impact medical journals. Our research has identified the leading countries, institutions, journals, hotspots and development trend in the field that could provide the foundati n for further investigations. The bibliometric analysis will help the clinicians to rapidly identify the potential collaborative partners, identify significant studies, and research topics within their domains of COVID-19 vaccines.Copyright Author (s) 2023.
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Digital solutions are sufficiently versatile and agile to shape business processes and enterprise architecture, answer the COVID-19 crisis, solve climate change, temper political conflict, generate new employment operating models, and solve health issues. These solutions benefit businesses as an integral part of the economy and society and therefore must be studied further to ensure they are utilized appropriately. The Handbook of Research on Digitalization Solutions for Social and Economic Needs introduces the agile operating model that has triggered digital transformation and the plethora of ways it has become of practical use recently. The book also argues the business rationale of digitalization. Covering key topics such as innovation, sustainability, and business transformation, this major reference work is ideal for business owners, managers, computer scientists, industry professionals, researchers, scholars, academicians, librarians, policymakers, practitioners, educators, and students. © 2023 by IGI Global. All rights reserved.
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Natural products, along with food, clothes, and shelter, serve as the basis of treatment since the dawn of human civilization;while the modern medicine has developed over the years by observational and scientific efforts from ancient traditions. Impressive array of bioactivities with minimum or no toxicity was reported with diverse botanicals against several chronic and difficult-to-treat diseases when most synthetic drugs showed unacceptable side effects. A whole range of viral diseases including Dengue, Ebola, drug-resistant Herpes, HIV/AIDS, Japanese Encephalitis, Rabies, SARS, and recent pandemic of SARS Coronavirus-2 need effective prophylactic or therapeutic agents. Considerable research carried out for last few decades on the Pharmacognosy, chemistry;pharmacology and therapeutics of traditionally used medicines of diverse cultures forced most pharmaceutical companies to renew their strategies of drug discovery, from ‘synthetic to green chemistry', against different stages of virus infection cycle or host-virus interaction where no effective vaccine or drugs exist. Thus, plants or phytochemicals having potentials of preventing or inhibiting viral infection cycle need to studied in-depth with the purity, safely and potency including their standardization, isolation, efficacy, mechanism of action, along with adverse effect on the host to reduce the time and cost of drug discovery. This updated review will portray the in-depth scientific knowledge and steps for the development of nature-based solutions against genetically and functionally diverse viral diseases from age-old traditional medicines. © 2022 Elsevier Inc. All rights reserved.
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Introduction: In critically ill patients with AKI, unacceptably high mortality rates reaching up to 50-80% in all dialyzed ICU patients are seen despite the availability of intensive renal support. At present there is no specific or targeted therapy for AKI. Pathophysiology of AKI is multifactorial. Systemic inflammation, mediated in part by cytokines, might be contributing majorly to the development of AKI. This mandates a multipronged approach to the treatment of AKI. There are hardly any studies on the use of ulinastatin in AKI. Our premise regarding the use of molecule in AKI was based on the fact that this molecule acts at multiple levels in the sepsis and can act to stop the cascade and thereby stop the "storm." Methods: We studied a total of 200 patients with AKI who needed ICU care in our hospital in the period between June 2017 - Jan 2020. Out of these, 100 patients received Injection ulinastatin 3 doses a day for 5 days, against a similar number of control patients. We included those patients with AKI who had SOFA scores more than 8. None of the patients had COVID 19 infection. We compared the same number of patients who had received ulinastatin with controls. Injection ulinastatin 1,50,000IU was given three times a day for 5 days. All the patients included had received dialytic therapy. We recorded the age of the patients, it varied from 11-94 years (mean age 52 years), > 60 % (120) of the patients being in the age group of 26-40 years. The ratio of males to females 1.8:1 (M: F 129:71). The etiologies were as follows: Malaria - complicated - P vivax, P falciparum (n= 76) 38% Enteric fever (n= 40) 20% UTI (n=30) 15% Post-partum (n=20) 10% Dengue (n = 14) 7% Acute gastroenteritis/diarrheal diseases (n= 12) 6% Pancreatitis (n= 6) 3% Obstructive uropathy (n= 3) 1.5% 33 % (n= 66) patients had diabetes as a co morbid condition. The renal function tests of all the patients along with liver function tests, sepsis parameters like d-dimer, serum procalcitonin levels, CRP-hs levels, coagulation tests, complete blood counts, and arterial blood gas analysis were done We recorded the length of stay, need and duration of renal replacement therapy, time to stoppage of renal replacement therapy, need for mechanical ventilation, mortality and post AKI recovery and progression to CKD. Result(s): The patients who received ulinastatin had a shorter stay in the ICU (p <0.01 vs control group);also, the time to stoppage of renal replacement therapy was shorter (p < 0.05). The recovery of renal function was seen in 84% (n=168). The progression to CKD was seen in 11% (n=22) of patients. The average number of sittings of dialysis needed were 11 (range3-20), lesser number of dialysis were needed in the ulinastatin group. The overall mortality was 36 %(n=72).The average follow up period post discharge has been 141 days (21 - 240 days) Conclusion(s): There definitely seem to be advantages in using ulinastatin and results look promising. But there are limitations to this study - this was a retrospective analysis hence not all the patients received ulinastatin. Moreover, the drug is expensive. This study was done in a semi urban set up where causes for AKI are predominantly infective. A larger prospective double-blind study will be needed to consider ulinastatin as a routine option for treating AKI. Till then preventing AKI should be the aim for us. No conflict of interestCopyright © 2023
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Change is the only thing in the real world which has been known to last forever. It takes various forms and progressions, ranging from gradual in some cases and abrupt in the others to even constantly incremental in yet other cases like ageing. Machine learning (ML) algorithms, in its simplest definitions, use the statistical analysis of static past data records to make predictions about the future and have reached a fair amount of accuracy on diverse data sets across different application domains. There exists an inherent contradictory friction between real life analysis and machine learning models based on above definitions, and it gets compounded while capturing the ever-changing data from streaming sources. Concept drift is a principle used for description of unpredictable variations in streaming data sourced from the real world through a given time period. The drift phenomenon occurring even in a single feature, if left unaddressed leads to silent decay and can play havoc with the accuracy of a previously accurate ML model. With increasing prevalence and scale of real-world deployments of ML analytics, models cannot remain invariant to instability of data distributions and must adapt to concept drift. We analyse the occurrence and effect of concept drift in the COVID-19 online education data sourced from LearnPlatform edtech Company in this paper. The data set has almost 20 million entries related to engagement index and can be fairly assumed to be big data for processing purposes. A comparative case analysis for the accuracy of concept drift aware modelling using adaptive windowing (ADWIN) vis-a-vis the basic ML counterpart to predict the student engagement based on digital connectivity and education technology has been carried out for the study. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Objectives: The study makes a bibliometric evaluation of global publications on "Application of Stem Cell Therapy to Covid-19" during 2020-22.
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This case discusses the post-layoff challenge faced by Swiggy, one of India’s major food aggregators, during the Covid-19 pandemic. The nationwide lockdown announced on March 25, 2020, to combat Covid-19 had left the online food ordering and delivery business in limbo, forcing many food aggregators, including Swiggy, to re-align their businesses. This case analyses Swiggy CEO Sriharsha Majety’s decision to layoff 1100 employees and the company’s business model, values, and people policy. The case provides valuable insights on managing the motivation and morale of the surviving employees amidst an economic or financial crisis. Instructors of employee motivation, people management, strategy, and leadership programmes may find this case useful for teaching challenges business leaders face when managing layoffs, and strategies to keep the surviving workforce’s morale and performance high, alternatives to layoffs, and workforce management during periods of realignment. © 2021, NeilsonJournals Publishing. All rights reserved.
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The whole planet has been put in danger by COVID 19. In every facet of life, it has wreaked disaster in its wake. There isn't a single industry that hasn't been touched. One of the most impacted areas is education. Around 1.54 billion children, including 743 million girls, have been infected by this outbreak, according to a UNESCO assessment. Because they lack the wherewithal to continue their education, the most disadvantaged members of society are the first to feel the effects of this policy. In these circumstances, the post-COVID-19 situation seems to be more difficult. There is a worldwide effort to assure the continuation of learning through online platforms, alternative modes of providing education, while also preparing for the opening of schools, colleges and universities. COVID 19's effects can only be mitigated if all parties involved, including students, instructors, school administration, and parents, work together to develop acceptable alternatives in concert with government authorities and educational resources. This paper will discuss about the global education system's potential problems and solutions in the years after COVID-19. Using online and virtual classrooms, it comments on the increasing reliance on technology in the classroom. Globally, most pupils have been adversely impacted by this pandemic, which has increased the gap in educational opportunity. © 2022 International Journal of Health Sciences.
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With the advent of the 21st century, healthcare systems all around the world are facing challenges at an unprecedented scale. The recent covid-19 outbreak is a glaring example of such challenges. After facing such situations anyone can conclude that there is a need to change the way our current health system works and the recent blockchain technology emerged as a way to bring out this change. From universal health blueprint to medical supply chain management and connecting vetted suppliers, blockchain is making an impact. This paper introduces the concept of blockchain along with its applications with the main focus on healthcare and medical systems. © 2022 Wiley Periodicals LLC.
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Over the last 30 years, non-operating room anesthesia (NORA) has grown from a minor portion of overall anesthesia cases to a substantial anesthesia workload. This shift presents the profession with several new challenges, especially during the pandemic era. Along with new sites, insufficient surveillance equipment, insufficient assisting personnel, unfamiliarity with procedures, complicated machinery, and a lack of expertise in the NORA suite, infection management practices must be standardised during the COVID time to avoid spread and contamination. Therefore, anesthesiologists must recognize possible risk factors during anesthesia in non-operating rooms and familiarize themselves with standards to improve safe practice, by utilizing detailed protocols for infection prevention and medical management, ensuring adequate personal protection equipment (PPE) supplies and training, forecasting demand, and prioritizing diagnosis. This review article emphasizes suggested guidelines for NORA during COVID time to improve patient outcomes and reduce adverse events. © 2022, World Federation of Societies of Anesthesiologists. All rights reserved.
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In this era of technological revolution, we are familiar with many scientific terminologies and gadgets. Today, internet is the backbone of the whole world as internet connectivity plays a vital role in our routine life and makes our life much easier. Wireless sensors are implemented in many applications like agricultural sector, military, home automation and health care sector. These wireless sensors are easy to operate and handle. Their performance varies according to the application. By connecting internet with these smart wireless sensors they act like Internet of Things. In the present scenario, whole world is suffering from Covid-19 pandemic. This is very strenuous situation for mankind. It is enigmatic to recognize a person with Covid-19 symptoms. For the identification of affected patient, some models are coined with the aid of wireless sensors and internet of things. The principle goal of this survey is to demonstrate the critical role of wireless sensor networks with internet of things for Covid-19 health care purposes. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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Humanity has suffered catastrophically due to the COVID-19 pandemic. One of the most reliable diagnoses of COVID-19 is RT-PCR (Reverse-Transcription Polymer Chain Reaction) testing. This method, however, has its limitations. It is time-consuming and requires scalability. This research work carries out a preliminary prognosis of COVID-19, which is scalable and less time-consuming. The research carried out a competitive analysis of four machine learning models namely, Multilayer Perceptron, Convolutional Neural Networks, Recurrent Neural Networks with Long Short-Term Memory, and VGG-19 with Support Vector Machines. Out of these models, Multilayer Perceptron outperformed with higher specificity of 94.5% and accuracy of 96.8%. The results show that Multilayer Perceptron was able to distinguish between positive and negative COVID-19 coughs by a robust feature embedding technique. © 2022, Springer Nature Switzerland AG.
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Background: Mucormycosis is an invasive fungal infection that has shown a surge during the COVID-19 pandemic. A comprehensive assessment of COVID-19 associated mucormycosis (CAM) research is lacking.
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In the recent, Corona Virus epidemic (COVID-19) increases day-to-day from one individual to another because of contact transmission and COVID-19 is created by the SARS-CoV-2. Identifying and stopping the spreading of contagious epidemic such as COVID-19 is important to handling diseases. One major part contracted to find and detect their previous connections so as to then carefully dissociate any persons likely to have been affected and accommodate dispersion is to find out or explore more transmissible persons. These previous connections can be traced using smart machine such as smart watches and smart phones, which can frequently find and collect the connections and location of their infected ones through their embedded transmissions and localization methodologies or technologies, such as Global Positioning System (GPS) location-based navigation rule, Wi-Fi, biological connections, and Bluetooth. Contact Tracing is the one of the best technologies in which we use a methodology for stopping and controlling the COVID19. The main point of this review paper on the methodology of these smart technologies and figure the model of contact tracing accuracy on the flow of the COVID-19, working of contact tracing, algorithms and control of the COVID-19. In this paper, we have determined the role of contact tracing in COVID-19, effective impacts of Contact Tracing and designed a COVID-19 epidemic model that we created to evaluate the number of people quarantined and effectiveness of the steps to be taken, through the smart watches and smart phone contact tracing technique used. In this review paper, our result shows that in order to be accurate for the COVID-19 pandemic, the contact tracing technique must be traced speedily, a valuation ratio of the population must apply the smart devices technique, contact tracing application and this technology must be correct. All these rigid needs make smart device-based contact tracing rather inefficient at accommodating the flow of the virus during the COVID-19. However, in this phase smart machine-based contact tracing could be immensely and enormously effective and recognizing a second section, where a segment of the community will have increased immunity. © 2021 IEEE.
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A worldwide changes in environment, contamination and global warming are a portion of the issues that have become an undeniably concerning issue universally. Natural disintegration has prompted organizations changing the manner by which they direct themselves, prompting the development of green marketing. But, the situation of COVID-19 has translated consumer behaviour in new direction. But, the major question arises whether the green purchasing behaviour can withstand the test of time triggered by pandemic. This article has deeply investigated whether the consumers will buy the products promoted through Green Marketing and available at online portals. This empirical research will explore the consumer buying behaviour at the convergence of the green consumerism and the online shopping portals. The factors which are manifested have been explored through EFA;they are: (a) quality and attributes of the product, (b) reasonable price of the Eco-labelled product with certification, (c) online shopping portals-related attributes, (d) pro-environmental consumer behaviour and (e) consumers’ preferences according to vernacular culture. The factors reasonable price of the eco-labelled product with certification and consumers’ preferences according to vernacular culture have higher impact as obtained through regression analysis. The implied finding of the research is to promote the green purchasing behaviour through online shopping portals. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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What can the hospitality industry do to reduce the risk of transmission of COVID-19? Part is recognizing that HVAC systems play a role in mitigating the risk of airborne transmission of COVID-19.1 At the beginning of the pandemic, hospitality facilities, including hotels and restaurants, quickly aligned with guidance from the CDC,2,3 WHO4 and other credible organizations such as ASHRAE5,6 by adjusting operating guidelines to increase outdoor air dilution and improve filtration, where possible, while maintaining guest and associate comfort. This article discusses a comprehensive study recently conducted by the authors to investigate the efficacy of portable air purifiers to improve air quality in public spaces. © 2021 Amer. Soc. Heating, Ref. Air-Conditoning Eng. Inc.. All rights reserved.
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The study aims to evaluate global research output (103054 records) on coronavirus disease (COVID-19) based on quantitative and qualitative indicators. It presents a bibliometric profile of most influential countries, organizations, authors and journals and their collaborative linkages, besides identifying broad subject areas of research, most significant keywords and highly-cited papers related to COVID-19. During 2020-21, more than 150 countries participated in COVID-19 research, of which top 10 countries accounted for a 82.93% global share. The USA, China and U.K. produced the most articles (25.86%, 10.77% and 10.7% respectively). The top three organizations, namely Harvard Medical School, USA, Huazhong University of S&T, China and Tongji Medical College, China contributed 1755, 1344 and 1267 papers, respectively. The most cited organizations in COVID-19 research are: Peking Union Medical College, China (97.41 CPP), University of Hong Kong (82.17 CPP) and Renmin Hospital of Wuhan University, China (59.88 CPP). The top three most productive authors are: V. Wanitlit, E. Mahase and G. Lacobucci (with 152, 135 and 108 papers). The top three most cited authors in terms of citations per paper (CPP) are: Y. Hu (319.82), L. Liu (303.91) and J.F.W. Chan (169.55). The most productive organizations originate from most productive countries and they contribute the most collaborative papers. The top three journals, namely International Journal of Environmental Research, BMJ and PLOS One contributed 961, 854 and 781 papers, respectively. The top three journals in terms of citations per paper (CPP) are New England Journal of Medicine (122.78), The Lancet (106.3) and JAMA (75.17). The most ubiquitous topic was COVID-19 clinical studies, with maximum focus on virological aspects (9.58%), respiratory aspects (6.97%), molecular aspects (3.11%), genetic aspects (3.09%) and immunological aspects (1.3%). The results of this study should be of interest to working scientists, clinicians and policy-makers in improving their understanding of COVID-19 disease and in its management.
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The study evaluates the global research output (820 records) on "Use of Convalescent Plasma Therapy for COVID-19" on metrics with the aim to understand the current status of research at the global, national, institutional, and individual author level. The study is based on publications and citations data sourced from the Scopus database during 2020-21. The publications and citations data was statistically analyzed on various metrics such as document type, country of publication, collaboration patterns, author affiliation, journal name, and citation patterns. The USA, China and India lead the world ranking of 15 most productive countries in the subject. China, U.K. and Netherlands lead in the ranking of most cited countries. In addition, the study maps key productive institutions, key authors, key source journals, as well as most significant keywords in the subject to visually present their inter-relationships using Biblioshiny and VOSviewer software. This results and findings from the study describe the progress made by the world in this hot area of global interest.
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Purpose: COVID-19 has galvanized educational institutions to rapidly adopt technology-enhanced learning (TEL) environment where students are required to use and manage a diverse set of information and communication technologies (ICTs). Using the Transactional Theory of Stress, the authors investigate the impact of a TEL environment on students' stress, cognitive appraisal and coping. The authors also explore how the TEL environment impacts students' learning satisfaction and performance. Design/methodology/approach: A survey using Qualtrics was developed to collect the data from 275 undergraduate students. The authors used the Partial Least Squares (PLS) through SmartPLS for instrument validation and testing of the structural model. The reflective-formative model was applied as the measures used to evaluate the first-order constructs are unidimensional, and the second-order construct has a formative measurement. Findings: Students experienced technology-related stress due to ICT use. The negative appraisal such as harm and threat leads to emotion-focused coping among students, while the constructive appraisal such as positive and challenge leads to problem-focused coping. Emotion-focused coping was found to negatively impact learning satisfaction, while problem-focused coping was found to positively impact satisfaction. The authors also found that students with a higher level of experience with online and hybrid classes, higher confidence in computer usage and lower anxiety are better equipped to deal with technostress. Research limitations/implications: This study provides the first comprehensive technostress model in the IS literature that uses formative modeling to explain technostress creators and inhibitors and emotion-focused coping and problem-focused coping, as was intended by the Transactional Theory of Stress. The result allows for rethinking TEL environment by drawing attention to strategies that can reduce technological complexity and uncertainty. For future research, it may be helpful to perform a longitudinal or experimental study to obtain rigorous causal inference. Originality/value: There is limited research on the impact of technostress in the field of higher education. Also, technostress has been used inconsistently in Information Systems research, with the majority of research focusing on technostress creators and inhibitors only. This research incorporates all the constructs of the original theory adding new knowledge to the IS literature about the nature and causes of stress created by the use of technology. © 2022, Emerald Publishing Limited.
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The paper presents a analysis of quantitative and qualitative dimensions of global research output (3488 records) on "Impact of COVID-19 on Children and Adolescents", based on indexed publications in Scopus database. The global publications on this theme averaged 8.31 citations per paper. About 1.49% share of its total publications in this area received external funding support. The 145 countries partcipitated in global research output on "Impact of COVID-19 on Children and Adults", of which the top 10 countries accounted for 85.21% and more than 100% share of global publications and citations. The USA, U.K. and Italy leads in global publications ranking and productivity as against China (3.16), U.K (1.28) and USA (1.27) leading in terms of relative of relative citation index. The 412 organizations and 661 authors participated in global research on this theme, with top 15 most productive organizations and authors contributing 21.07% and 4.30% global publications share and 38.05% and 12.98% global citations share. Harvard Medical School, USA, Huazhong University of Science and Technology, China and Tongji Medical College, China leads the world as the most productive organizatons (with 480, 67 and 63 publications) and Huazhong University of Science and Technology, China (31.97 and 3.85), Tongji Medical College, China (19.92 and 2.40) and Children Hospital of Philadelphia, USA (19.30 and 2.32) leading as the most impactful organizations in the world in terms of citation per paper and relative citation index. D. Buonsensov, C. Calvo and X. Lu were the most productive authors (with 15, 12 and 12 papers) and X.Lu (103.83 and 12.49), A. Licari (40.11 and 4.83) and G.L. Marseglia(34.09 and 4.1) were the most impactful authors. JAMA Pediatrics, Pediatrics Infectious Disease Journal and Acta Paediatrica International Journal of Pediatrics were the most productive journals (with 71, 60 and 58 papers) and Pediatrics (36.59), JAMA Pediatrics (19.49) and Acta Paediatrica International Journal of Pediatrics (14.93) were the most impactful journals.