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
-
Who was wearing a mask in 2021? Update on gender-, age-, and location-related differences during the COVID-19 pandemic
This article has 9 authors:Reviewed by ScreenIT
-
Neutralizing Activities Against the Omicron Variant After a Heterologous Booster in Healthy Adults Receiving Two Doses of CoronaVac Vaccination
This article has 19 authors:Reviewed by ScreenIT
-
Persistently reduced humoral and sustained cellular immune response from first to third SARS-CoV-2 mRNA vaccination in anti-CD20-treated multiple sclerosis patients
This article has 15 authors:Reviewed by ScreenIT
-
IRE1α-XBP1 Activation Elicited by Viral Singled Stranded RNA via TLR8 May Modulate Lung Cytokine Induction in SARS-CoV-2 Pneumonia
This article has 15 authors:Reviewed by ScreenIT
-
Early Introduction and Rise of the Omicron Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Variant in Highly Vaccinated University Populations
This article has 30 authors:Reviewed by ScreenIT
-
mRNA vaccine boosting enhances antibody responses against SARS-CoV-2 Omicron variant in individuals with antibody deficiency syndromes
This article has 28 authors:Reviewed by ScreenIT
-
General practitioner wellbeing during the COVID-19 pandemic: a qualitative interview study
This article has 3 authors:Reviewed by ScreenIT
-
Breadth of SARS-CoV-2 neutralization and protection induced by a nanoparticle vaccine
This article has 44 authors:Reviewed by ScreenIT
-
Psychological Outcomes of Surgery Trainees in the Era of COVID-19 at a Tertiary Care Hospital of Karachi, Pakistan: A Cross-Sectional Study
This article has 4 authors:Reviewed by ScreenIT
-
SARS-CoV-2 in schools: genome analysis shows that concurrent cases in the second and third wave were often unconnected
This article has 19 authors:Reviewed by ScreenIT