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
-
Race, ethnicity, community-level socioeconomic factors, and risk of COVID-19 in the United States and the United Kingdom
This article has 29 authors:Reviewed by ScreenIT
-
Examining Australian’s beliefs, misconceptions and sources of information for COVID-19: a national online survey
This article has 8 authors:Reviewed by ScreenIT
-
Does higher body mass index increase COVID-19 severity? A systematic review and meta-analysis
This article has 5 authors:Reviewed by ScreenIT
-
Even one metre seems generous. A reanalysis of data in: Chu et al. (2020) Physical distancing, face masks, and eye protection to prevent person-to-person transmission of SARS-CoV-2 and COVID-19.
This article has 1 author:Reviewed by ScreenIT
-
SARS-CoV-2 viral load peaks prior to symptom onset: a systematic review and individual-pooled analysis of coronavirus viral load from 66 studies
This article has 6 authors: -
Convalescent Plasma in treatment of COVID-19: A review of evidence for a living systematic benefit-risk assessment
This article has 8 authors:Reviewed by ScreenIT
-
Impacts on Surgery Resident Education at a first wave COVID-19 Epicenter
This article has 4 authors:Reviewed by ScreenIT
-
Impact of Training Modules on Physicians’ Perspective of COVID-19: An Online Survey
This article has 5 authors:Reviewed by ScreenIT
-
Previous and active tuberculosis increases risk of death and prolongs recovery in patients with COVID-19
This article has 3 authors:Reviewed by ScreenIT
-
Delaying the COVID‐19 epidemic in Australia: evaluating the effectiveness of international travel bans
This article has 5 authors:Reviewed by ScreenIT