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
-
Perspectives of cancer patients and their health during the COVID-19 pandemic
This article has 12 authors:Reviewed by ScreenIT
-
Neutrophil extracellular traps and thrombosis in COVID-19
This article has 8 authors:Reviewed by ScreenIT
-
Modelling and simulation of COVID-19 propagation in a large population with specific reference to India
This article has 4 authors:Reviewed by ScreenIT
-
Transcriptomic profiling of SARS-CoV-2 infected human cell lines identifies HSP90 as target for COVID-19 therapy
This article has 28 authors:Reviewed by ScreenIT
-
Worldwide Effectiveness of Various Non-Pharmaceutical Intervention Control Strategies on the Global COVID-19 Pandemic: A Linearised Control Model
This article has 13 authors:Reviewed by ScreenIT
-
Global Spread of SARS-CoV-2 Subtype with Spike Protein Mutation D614G is Shaped by Human Genomic Variations that Regulate Expression of TMPRSS2 and MX1 Genes
This article has 8 authors:Reviewed by ScreenIT
-
SARS-CoV-2 Spike Glycoprotein Receptor Binding Domain is Subject to Negative Selection with Predicted Positive Selection Mutations
This article has 10 authors:Reviewed by ScreenIT
-
Identification of Candidate COVID-19 Therapeutics using hPSC-derived Lung Organoids
This article has 29 authors:Reviewed by ScreenIT
-
Early Spread of COVID-19 in the Air-Polluted Regions of Eight Severely Affected Countries
This article has 2 authors:Reviewed by ScreenIT
-
Evaluation of effects of public health interventions on COVID-19 transmission for Pakistan: A mathematical simulation study
This article has 8 authors:Reviewed by ScreenIT