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
-
The Unyvero Hospital-Acquired pneumonia panel for diagnosis of secondary bacterial pneumonia in COVID-19 patients
This article has 2 authors:Reviewed by ScreenIT
-
3D Printed frames to enable reuse and improve the fit of N95 and KN95 respirators
This article has 22 authors:Reviewed by ScreenIT
-
Effect of Lockdown Implementation, Environmental & Behavioural factors, Diet and Virus Mutations on COVID-19 Outcomes: A Study on Critical Containment Zones of Indian state of Maharashtra
This article has 4 authors:Reviewed by ScreenIT
-
Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020
This article has 11 authors:Reviewed by ScreenIT
-
A framework for predicting potential host ranges of pathogenic viruses based on receptor ortholog analysis
This article has 14 authors:Reviewed by ScreenIT
-
Changes in SARS-CoV-2 Spike versus Nucleoprotein Antibody Responses Impact the Estimates of Infections in Population-Based Seroprevalence Studies
This article has 17 authors:Reviewed by ScreenIT
-
The AndroCoV Clinical Scoring for COVID-19 Diagnosis: A Prompt, Feasible, Costless, and Highly Sensitive Diagnostic Tool for COVID-19 Based on a 1757-Patient Cohort
This article has 7 authors:Reviewed by ScreenIT
-
Impact of Public Health Education Program on the Novel Coronavirus Outbreak in the United States
This article has 13 authors:Reviewed by ScreenIT
-
The impact of social distancing on COVID19 spread: State of Georgia case study
This article has 5 authors:Reviewed by ScreenIT
-
Modulating the transcriptional landscape of SARS-CoV-2 as an effective method for developing antiviral compounds
This article has 13 authors:Reviewed by ScreenIT