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
-
Immunogenic SARS-CoV2 Epitopes Defined by Mass Spectrometry
This article has 10 authors:Reviewed by ScreenIT
-
Integrin activation is an essential component of SARS-CoV-2 infection
This article has 7 authors:Reviewed by ScreenIT
-
SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021
This article has 38 authors:Reviewed by ScreenIT
-
Examination of Medication Use Patterns by Age Group, Comorbidity, and Month in COVID-19 Positive Patients in a Large Statewide Health System During the Pandemic in 2020
This article has 5 authors:Reviewed by ScreenIT
-
Integrative metabolomic and proteomic signatures define clinical outcomes in severe COVID-19
This article has 23 authors:Reviewed by ScreenIT
-
Anaphylactic events in mRNA vaccines: a reporting case-control study
This article has 1 author:Reviewed by ScreenIT
-
Protocol for a prospective, hospital-based registry of pregnant women with SARS-CoV-2 infection in India: PregCovid Registry study
This article has 9 authors:Reviewed by ScreenIT
-
Comparative Immunogenicity and Effectiveness of mRNA-1273, BNT162b2, and Ad26.COV2.S COVID-19 Vaccines
This article has 25 authors:Reviewed by ScreenIT
-
Cost-Effective Method to Perform SARS-CoV-2 Variant Surveillance: Detection of Alpha, Gamma, Lambda, Delta, Epsilon, and Zeta in Argentina
This article has 123 authors:Reviewed by ScreenIT
-
Excess mortality in India from June 2020 to June 2021 during the COVID pandemic: death registration, health facility deaths, and survey data
This article has 11 authors:Reviewed by ScreenIT