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
-
A Randomized Phase 2/3 Study of Ensitrelvir, a Novel Oral SARS-CoV-2 3C-Like Protease Inhibitor, in Japanese Patients with Mild-to-Moderate COVID-19 or Asymptomatic SARS-CoV-2 Infection: Results of the Phase 2a Part
This article has 13 authors:Reviewed by ScreenIT
-
Tixagevimab/cilgavimab pre-exposure prophylaxis is associated with lower breakthrough infection risk in vaccinated solid organ transplant recipients during the omicron wave
This article has 6 authors:Reviewed by ScreenIT
-
Unmet Dental Needs in Children Following Suspension of School‐Based Oral Health Services Due to COVID ‐19
This article has 6 authors:Reviewed by ScreenIT
-
Multi-omic comparative analysis of COVID-19 and bacterial sepsis-induced ARDS
This article has 17 authors:Reviewed by ScreenIT
-
Performance and validation of an adaptable multiplex assay for detection of serologic response to SARS-CoV-2 infection or vaccination
This article has 17 authors:Reviewed by ScreenIT
-
Adaptation‐Proof SARS‐CoV‐2 Vaccine Design
This article has 11 authors:Reviewed by ScreenIT
-
Jinhua Qinggan granules for non-hospitalized COVID-19 patients: A double-blind, placebo-controlled, and randomized controlled trial
This article has 10 authors:Reviewed by ScreenIT
-
United States’ political climates and the spread of SARS-2-COVID-19 during 2020
This article has 3 authors:Reviewed by ScreenIT
-
Antibody Response to SARS-CoV-2 among COVID-19 Confirmed Cases and Correlates with Neutralizing Assay in a Subgroup of Patients in Delhi National Capital Region, India
This article has 14 authors:Reviewed by ScreenIT
-
Variation in the ACE2 receptor has limited utility for SARS-CoV-2 host prediction
This article has 5 authors:This article has been curated by 1 group: