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 effects of messaging on long COVID expectations: An online experiment.
This article has 9 authors:Reviewed by ScreenIT
-
Broadly recognized, cross-reactive SARS-CoV-2 CD4 T cell epitopes are highly conserved across human coronaviruses and presented by common HLA alleles
This article has 11 authors:Reviewed by ScreenIT
-
In Silico Analysis of the Effects of Omicron Spike Amino Acid Changes on the Interactions with Human Proteins
This article has 7 authors:Reviewed by ScreenIT
-
Predictive performance and clinical application of COV50, a urinary proteomic biomarker in early COVID-19 infection: a prospective multicentre cohort study
This article has 121 authors:Reviewed by ScreenIT
-
Effectiveness of Messenger RNA Coronavirus Disease 2019 Vaccines Against Symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 Infections During the Delta Variant Epidemic in Japan: Vaccine Effectiveness Real-time Surveillance for SARS-CoV-2 (VERSUS)
This article has 22 authors:Reviewed by ScreenIT
-
Remdesivir for the treatment of COVID-19: a systematic review and meta-analysis
This article has 8 authors:Reviewed by ScreenIT
-
Neutralization of Omicron SARS-CoV-2 by 2 or 3 doses of BNT162b2 vaccine
This article has 12 authors:Reviewed by ScreenIT
-
Comprehensive Evaluation of ACE2-Fc Combination with Neutralization Antibody on Broad Protection against SARS-CoV-2 and Its Variants
This article has 31 authors:Reviewed by ScreenIT
-
Physiologically‐Based Pharmacokinetic‐Led Guidance for Patients With Cystic Fibrosis Taking Elexacaftor‐Tezacaftor‐Ivacaftor With Nirmatrelvir‐Ritonavir for the Treatment of COVID‐19
This article has 5 authors:Reviewed by ScreenIT
-
Proteomic deconvolution reveals distinct immune cell fractions in different body sites in SARS-Cov-2 positive individuals
This article has 4 authors:Reviewed by ScreenIT