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
-
Erytra blood group analyser and kode technology testing of SARS‐CoV‐2 antibodies among convalescent patients and vaccinated individuals
This article has 10 authors:Reviewed by ScreenIT
-
Weekly Nowcasting of New COVID-19 Cases Using Past Viral Load Measurements
This article has 7 authors:Reviewed by ScreenIT
-
The impact of shifting demographics, variants of concern and vaccination on outcomes during the first 3 COVID-19 waves in Alberta and Ontario: a retrospective cohort study
This article has 6 authors:Reviewed by ScreenIT
-
Yeast-expressed recombinant SARS-CoV-2 receptor binding domain RBD203-N1 as a COVID-19 protein vaccine candidate
This article has 19 authors:Reviewed by ScreenIT
-
Willingness, refusal and influential factors of parents to vaccinate their children against the COVID-19: A systematic review and meta-analysis
This article has 6 authors:Reviewed by ScreenIT
-
Structural dynamics of SARS-CoV-2 nucleocapsid protein induced by RNA binding
This article has 16 authors:Reviewed by ScreenIT
-
COVID-19 and vitamin D (Co-VIVID study): a systematic review and meta-analysis of randomized controlled trials
This article has 7 authors:Reviewed by ScreenIT
-
Highly valued despite burdens: Qualitative implementation research on rapid tests for hospital-based SARS-CoV-2 screening
This article has 5 authors:Reviewed by ScreenIT
-
Directing an mRNA-LNP vaccine toward lymph nodes improves humoral and cellular immunity against SARS-CoV-2
This article has 13 authors:Reviewed by ScreenIT
-
A Systematic Review of the Protective Effect of Prior SARS-CoV-2 Infection on Repeat Infection
This article has 3 authors:Reviewed by ScreenIT