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
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We couldn't get details of this article at this time:
10.1101/2021.09.24.461759 -
We couldn't get details of this article at this time:
10.1101/2021.09.24.461743 -
We couldn't get details of this article at this time:
10.1101/2021.09.25.461785 -
Screening key genes and signaling pathways in COVID-19 infection and its associated complications by integrated bioinformatics analysis
This article has 2 authors:Reviewed by ScreenIT
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Dynamics of Mask Use as a Prevention Strategy against SARS-CoV-2 in Panama
This article has 12 authors:Reviewed by ScreenIT
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Effectiveness of vaccination in preventing severe SARS CoV-2 infection in South India-a hospital-based cross-sectional study
This article has 3 authors:Reviewed by ScreenIT
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We couldn't get details of this article at this time:
10.1101/2021.09.17.21263464 -
Factors associated with an increased risk of SARS-CoV-2 infection in healthcare workers in aerosol-generating disciplines
This article has 18 authors:Reviewed by ScreenIT
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We couldn't get details of this article at this time:
10.1101/2021.09.15.21263646 -
We couldn't get details of this article at this time:
10.1101/2021.09.20.21263777