ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
-
Systematic review of COVID-19 autopsies: accelerated hyaluronan concentration as the primary driver of morbidity and mortality in high-risk COVID-19 patients: with therapeutic introduction of an oral hyaluronan inhibitor in the prevention of “Induced Hyaluronan Storm” Syndrome
This article has 3 authors:Reviewed by ScreenIT
-
Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe
This article has 6 authors:Reviewed by ScreenIT
-
Prevalence and Impact of Myocardial Injury in Patients Hospitalized With COVID-19 Infection
This article has 22 authors:Reviewed by ScreenIT
-
Predicting Mortality Due to SARS-CoV-2: A Mechanistic Score Relating Obesity and Diabetes to COVID-19 Outcomes in Mexico
This article has 9 authors:Reviewed by ScreenIT
-
Comments on “EpiRank: Modeling Bidirectional Disease Spread in Asymmetric Commuting Networks” for Analyzing Emerging Coronavirus Epidemic Patterns
This article has 2 authors:Reviewed by ScreenIT
-
Estimating the burden of SARS-CoV-2 in France
This article has 17 authors:Reviewed by ScreenIT
-
The impact of current and future control measures on the spread of COVID-19 in Germany
This article has 7 authors:Reviewed by ScreenIT
-
ACE2 Homo-dimerization, Human Genomic variants and Interaction of Host Proteins Explain High Population Specific Differences in Outcomes of COVID19
This article has 6 authors:Reviewed by ScreenIT
-
The production and clinical implications of SARS-CoV-2 antibodies
This article has 14 authors:Reviewed by ScreenIT
-
Epidemiological characteristics of COVID-19 in medical staff members of neurosurgery departments in Hubei province: A multicentre descriptive study
This article has 12 authors:Reviewed by ScreenIT