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
-
Cumulative burden of non-communicable diseases predicts COVID hospitalization among people with HIV: A one-year retrospective cohort study
This article has 5 authors:Reviewed by ScreenIT
-
Recording of ’COVID-19 vaccine declined‘: a cohort study on 57.9 million National Health Service patients’ records in situ using OpenSAFELY, England, 8 December 2020 to 25 May 2021
This article has 37 authors:Reviewed by ScreenIT
-
Long COVID in hospitalized and non-hospitalized patients in a large cohort in Northwest Spain, a prospective cohort study
This article has 29 authors:Reviewed by ScreenIT
-
Low SARS-CoV-2 infection rates and high vaccine-induced immunity among German healthcare workers at the end of the third wave of the COVID-19 pandemic
This article has 11 authors:Reviewed by ScreenIT
-
Phenotyping of Acute and Persistent Coronavirus Disease 2019 Features in the Outpatient Setting: Exploratory Analysis of an International Cross-sectional Online Survey
This article has 28 authors:Reviewed by ScreenIT
-
Mitigation of SARS-CoV-2 transmission at a large public university
This article has 149 authors:Reviewed by ScreenIT
-
Data-driven testing program improves detection of COVID-19 cases and reduces community transmission
This article has 7 authors:Reviewed by ScreenIT
-
Prevalence and correlates of SARS-CoV-2 seropositivity among people who inject drugs in the San Diego-Tijuana border region
This article has 11 authors:Reviewed by ScreenIT
-
The inherent flexibility of receptor binding domains in SARS-CoV-2 spike protein
This article has 6 authors:Reviewed by ScreenIT
-
Megakaryocytes are a Novel SARS-CoV-2 Infection Target and Risk Factor for Mortality and Multi-Organ Failure
This article has 18 authors:Reviewed by ScreenIT