\ BIP! Finder for COVID-19 - Impact-based ranking

BIP! Finder for COVID-19

This version of BIP! Finder aims to ease the exploration of COVID-19-related literature by enabling ranking articles based on various impact metrics.

Last Update: 18 - 01 - 2023 (628506 entries)

Provided impact measures:
Popularity: Citation-based measure reflecting the current impact.
Influence: Citation-based measure reflecting the total impact.
Reader Attention: The current number of Mendeley readers.
Social Media Attention: The number of recent tweets related to this article.
*More details on these impact measures can be found here.
Score interpretations:
Exceptional score (in top 0.01%).
Substantial score (in top 1%).
Average score (in bottom 99%).
Score not available.
Main data sources:
CORD-19 dataset(1) (list of papers)
LitCovid hub(2) (list of papers)
PMC & PubMed (citations)
Mendeley (number of readers)
COVID-19-TweetIDs(3) (tweets)

Use:  Impact  Relevance & Impact
TitleVenueYearImpactSource
2251Perception & anxiety among parents of children with cancer during the corona pandemic-A pilot study  

N/A2022       CORD-19
2252COVID-19 in pediatric hematology-oncology patients-the comparison of first and second wave that hit India  

N/A2022       CORD-19
2253The urgency of the Covid-19 vaccine in liver transplantation patients: What, how and when?  

Int J Surg2022       CORD-19
2254Impact of COVID-19 pandemic on hepatocellular carcinoma in liver transplantation in the United States  

Int J Surg2022       CORD-19
2255Covid19 vaccines for liver transplant recipient: Yes or no?  

Int J Surg2022       CORD-19
2256Possibility of liver malfunction during COVID-19 infection  

Int J Surg2022       CORD-19
2257Liver transplantation in a patient with persistently positive nasopharyngeal swab for SARS-CoV-2 virus after a recent infection  

Int J Surg2022       CORD-19
2258Respiratory syncytial virus pneumonia in a LDLT recipient transplanted for COVID-19 precipitated ACLF: Treated with ribavirin and IVIg  

Int J Surg2022       CORD-19
2259AAPdN Virtual Conference-Accepted Abstracts  

J Pediatr Neuropsychol2022       CORD-19
2260Self-tracking via smartphone app: Potential tool for athletes' recovery self-management?: A survey on technology usage and sleep behaviour  

Self-tracking technologies are possible approaches to support recovery self-management activities for athletes. These may have become even more appealing due to stay-at-home restrictions as part of the 2020 pandemic regulations. This study examined user behaviour of smartphone and wearable technologies among 217 athletes (29% women, M age = 26.9 ± 7 years). The online survey comprised demographic questions and standardised questionnaires to assess usage of technologies, sleep quality (Pittsburgh Sleep Quality Index), daytime sleepiness (Epworth Sleepiness Scale), attitudes about sleep (Dysfunctional Beliefs and Attitudes about Sleep Scale), bedtime procrastination (Bedtime Procrastination Scale), and self-control (Brief Self-Control Scale). Fitness apps (46.5%) were more popular than sleep apps (15.7%) followed by nutrition apps (12%). The correlation between sleep apps and the other two apps indicate that non-users of sleep apps are probably also non-users of fitness or nutrition apps. Wearables were more frequently used to track fitness activities (36.9%) than sleep (17.5%). Considering sex, type of sport, competition participation, and training volume, no remarkable characteristics among users versus non-users of sleep apps were identified. There were also no significant differences among sleep indices between sleep app users and non-users. However, self-control was highest among sleep app users compared to non-users (d = 0.58). Despite 34.1% being identified as poor sleepers, behavioural sleeping patterns were within normal range. The results imply that athletes are not as attracted to self-tracking technologies as expected, which makes them less vulnerable to unsubstantiated feedback and inappropriate interventions by those tools. This serves as a starting point to explore the potential of self-tracking ambulatory assessment for physical activity and sleep behaviour of athletes in the post-pandemic era.

N/A2022       CORD-19
2261What will mobile and virtual work look like in the future?-Results of a Delphi-based study  

This contribution to the journal “Group. Interaction. Organization.” (GIO) takes a closer look at the mobile work of the future. Mobile work as well as virtual collaboration is becoming more and more integrated into our everyday working lives—not least reinforced by the COVID-19 Pandemic. In a Delphi-based study, we investigated the question of what mobile and virtual work will look like in the future. For this purpose, 35 future scenarios were described or processed in four rounds with a total of 460 experts and their desirability and probability of occurrence were evaluated. Positive developments are expected for the organization in terms of technology (e.g., advances in virtuality and artificial intelligence), leadership (e.g., increase in shared leadership and participation) and the work-life integration of employees (e.g., more flexibility and self-management). Negative effects are seen for teamwork (e.g., it becomes more difficult to build and maintain team cohesion and social exchange). How the challenges can be dealt with in terms of work design is shown and discussed.

N/A2022       CORD-19
2262Wenn Schreien sinnlos ist  

N/A2022       CORD-19
2263Psychische Belastung von Kindern und Jugendlichen in der Coronazeit: Literaturüberblick und Projektskizze  

BACKGROUND: International studies show that measures to contain the COVID-19 pandemic can lead to increased mental health problems in children and adolescents. Overall, there are many study activities on this topic, but only a few representative studies for Germany. OBJECTIVES: The impact of the COVID-19 pandemic on the mental health of children and adolescents in Germany will be investigated, as well as the risk and protective factors for mental well-being during the pandemic. Subsequently, an EU-wide project will be outlined, which aims to promote the mental health of students through a training program for teachers and other educators. METHODS: Using literature databases PubMed and Medline, an unsystematic literature search was carried out in the sense of a narrative review. The studies included in this work were selected based on their thematically appropriate abstract. RESULTS: The number of children showing mental or behavioral problems increased rapidly. Above all, social isolation, fears and insecurity, as well as conflicts within the family due to excessive demands or financial worries, lead to a deterioration in the psychological situation of children and young people. The consequences are depressive moods, behavioral problems and psychosomatic complaints. CONCLUSION: The impact of the COVID-19 pandemic on the mental health of children and adolescents should not be underestimated. There will also be a special need for support in the coming years.

N/A2022       CORD-19
2264Application of medical supply inventory model based on deep learning and big data  

The existing management structure of medical supply inventory (MSI) is not sufficiently effective, and it is incompetent to solve the problems of medical supply stock control in public security emergencies. Therefore, deep learning and big data technology are employed in this work to optimize the stock control structure and enhance management efficiency, so that the optimized management structure can play an excellent role in the material supply of emergencies. After browsing copious literature, the economic ordering models with infinite/limited supply rate and without shortage are innovatively constructed to realize efficient management of emergency supplies inventory. Besides, the optimized fixed-point and quantitative ordering method of safety stock is employed to construct the MSI models for scarce emergency supplies and the time-sensitive emergency supplies, respectively. Then, an earthquake-related emergency is taken as a case and data source to evaluate the solution results of the emergency MSI model. Moreover, the stacked auto-encoders (SAE) algorithm is used to build the demand prediction model for MSI. Finally, a simulation experiment compares the SAE-based demand prediction model for MSI with a back propagation neural network (BPNN) model and radial basis function network (RBFN) model to verify the model’s performance. The experimental results demonstrate that after 150 times of training, the error between the predicted value and the actual value of each model is within 30, and the prediction accuracy is significantly improved. After 170 times of network training, the mean absolute error (MAE) values of BPNN model and RBFN model are 31.98 and 73.73, respectively. In contrast, the MAE value of the SAE-based model is 21.32, which is superior to the other two models. Evidently, the management structure of MSI is optimized by dividing the emergency MSI into three MSI models for the critical emergency supplies, scarce emergency supplies, and the time-sensitive emergency supplies. The research outcome can provide essential logistical support for dealing with public security emergencies.

N/A2022       CORD-19
2265Covid-19: The cultural constructions of a global crisis  

This is the Introduction to the special issue on Covid-19 and the cultural constructions of a global crisis. Contextualizing understandings of the pandemic in relation to the concepts of ‘event’ and ‘crisis’, especially to the idea that modernity is itself a condition of perpetual crisis, it proposes that the pandemic is a crisis-event that catalyses new possibilities for making visible endemic inequalities and injustices across highly variable cultural and social domains, from the personal to the global. Always open to containment and appropriation, this crisis of visibility and invisibility is discussed as it pertains to the body, to space and social proximity, and to media and mediation. The individual contributions to the special issue are introduced in relation to these topics.

N/A2022       CORD-19
2266Crises Narratives Defining the COVID-19 Pandemic: Expert Uncertainties and Conspiratorial Sensemaking  

Experts, news media, and social media commentators struggled to make sense of SARS-CoV-2 January–May 2020 as disease caused by this virus, COVID-19, circulated the globe. This paper represents a longitudinal analysis of the primary narratives produced across expert, media, and social media sources to describe the virus, its phylogenetic origins, and biological effects. High expert uncertainty coupled with amplifying representations of risk across time drove collective sensemaking and conspiratorial narratives.

Am Behav Sci2022       CORD-19
2267Do the Most Vulnerable Know About Income Support Policies? The Case of the Italian Reddito d'Inclusione (ReI)  

In order to alleviate enduring poverty rates, most European Union (EU) member states have developed policies against poverty since the 1980s. The effect of these policies is, however, undermined by low take-up rates amongst potential beneficiaries. Whilst studies on non-take-up have highlighted a series of explanations as to the reasons why potential beneficiaries do or do not apply for income support, few studies have investigated people’s awareness of the existence of such measures. Yet, knowing about the measure is the first step towards applying for social benefits. Relying on INAPP’s PLUS 2018–Participation, Labour, Unemployment Survey—a unique source of data for income support policies, we seek to assess the determinants of awareness of income support policies. We find that the most vulnerable groups are also those less aware of the measures designed to alleviate their situation. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40797-022-00190-7.

N/A2022       CORD-19
2268Elasomeran: Cervical lymphadenopathy: case report  

N/A2022       CORD-19
2269Prednisone/tozinameran: Multisystem inflammatory syndrome in children (MIS-C) and neutrophilia: case report  

N/A2022       CORD-19
2270Enoxaparin-sodium/heparin: Lack-of-efficacy: case report  

N/A2022       CORD-19
2271Multiple drugs: Drugs ineffective and off-label use: case report  

N/A2022       CORD-19
2272Celecoxib/golimumab/sulfasalazine: Sperm head and spermatogenesis abnormalities: case report  

N/A2022       CORD-19
2273Immune globulin: Lack of efficacy: 2 case reports  

N/A2022       CORD-19
2274Effectiveness of Fine-tuned BERT Model in Classification of Helpful and Unhelpful Online Customer Reviews  

The problem of information overload in online review platforms has seriously hampered many customers’ ability to evaluate the quality of products or businesses when making purchasing decisions. A large body of literature exists that attempts to predict the helpfulness of online customer reviews and has reported contradictory findings on the effectiveness of various approaches. Moreover, many existing solutions use traditional machine learning techniques and handcrafted features, limiting generalization. Therefore, this study aims to propose a generalized approach by fine-tuning the BERT (Bidirectional Encoder Representations from Transformers) base model. The performance of BERT-based classifiers is then compared with that of bag-of-words approaches to determine the effectiveness of BERT-based classifiers. The evaluations performed using Yelp shopping reviews show that fine-tuned BERT-based classifiers outperform bag-of-words approaches in classifying helpful and unhelpful reviews. In addition, it is found that the sequence length of the BERT-based classifier has a significant impact on classification performance.

N/A2022       CORD-19
2275Tozinameran: Severe respiratory compromise: case report  

N/A2022       CORD-19
2276Amphotericin-B-liposomal/isavuconazole/voriconazole: Lack of efficacy: 6 case report  

N/A2022       CORD-19
2277Elasomeran: Acute myocarditis and injection site reactions manifested as pain and swelling: case report  

N/A2022       CORD-19
2278Fluvoxamine/theophylline: Various toxicities following drug interaction and off-label use: case report  

N/A2022       CORD-19
2279Dexamethasone/meropenem: Infections, off label use and lack of efficacy: case report  

N/A2022       CORD-19
2280Tozinameran: Exacerbations of generalised pustular psoriasis, palmoplantar psoriasis and psoriasis vulgaris: 3 case reports  

N/A2022       CORD-19
2281Remdesivir/tocilizumab: Lack of efficacy and off-label use: case report  

N/A2022       CORD-19
2282Elasomeran/methylphenidate: Myocarditis: 2 case reports  

N/A2022       CORD-19
2283Multiple drugs: Lack of efficacy and off label use: case report  

N/A2022       CORD-19
2284Tozinameran: Pemphigus-vulgaris: case report  

N/A2022       CORD-19
2285BBIBP-CorV: Hepatitis: case report  

N/A2022       CORD-19
2286Dexamethasone/metronidazole/tocilizumab: Lack of efficacy following off-label use, central nerve lesions and renal failure: 2 case reports  

N/A2022       CORD-19
2287Antineoplastics/ciclesonide/favipiravir: Pancytopenia and off-label use: case report  

N/A2022       CORD-19
2288Tozinameran: Secondary immune thrombocytopenia: case report  

N/A2022       CORD-19
2289Multiple drugs: No response following concomitant use: case report  

N/A2022       CORD-19
2290COVID-19-vaccine/mycophenolate: Cytomegalovirus infection and lymphopenia: case report  

N/A2022       CORD-19
2291Abatacept/immunosuppressants/ruxolitinib: Various toxicities following off-label use and lack of efficacy: 20 case reports  

N/A2022       CORD-19
2292Antituberculars: Hepatitis: case report  

N/A2022       CORD-19
2293Covid-19-vaccine/methylprednisolone: Antibody-mediated rejection and lack of efficacy: case report  

N/A2022       CORD-19
2294Other adverse reaction research  

N/A2022       CORD-19
2295Multiple drugs: Exacerbation of myasthenia gravis and lack of efficacy: 5 case reports  

N/A2022       CORD-19
2296Tozinameran: Leucocytoclastic vasculitis: case report  

N/A2022       CORD-19
2297COVID-19-Vaccine-Pfizer-BioNTech/pegfilgrastim/pembrolizumab: Large vessel vasculitis: case report  

N/A2022       CORD-19
2298Antipsychotics: Various toxicities and lack of efficacy: case report  

N/A2022       CORD-19
2299Tozinameran: Oropharyngeal pemphigus vulgaris: case report  

N/A2022       CORD-19
2300Tozinameran: Left atrium thrombus: case report  

N/A2022       CORD-19

(1) COVID-19 Open Research Dataset (CORD-19). 2020. Version 2022-06-02. Retrieved from https://ai2-semanticscholar-cord-19.s3-us-west-2.amazonaws.com/historical_releases.html. Accessed 2022-06-05. doi:10.5281/zenodo.3715506
(2) Chen Q, Allot A, & Lu Z. (2020) Keep up with the latest coronavirus research, Nature 579:193 and Chen Q, Allot A, Lu Z. LitCovid: an open database of COVID-19 literature. Nucleic Acids Research. 2020. (version 2023-01-10)
(3) Currently tweets of June 23rd to June 29th 2022 have been considered.

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