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.

About Followers

Latest preprint reviews

  1. Pathogenesis-based preexposure prophylaxis associated with a low risk of SARS-CoV-2 infection in healthcare workers at a designated COVID-19 hospital: a pilot study

    1. Michael V. Dubina
    2. Veronika V. Gomonova
    3. Anastasia E. Taraskina
    4. Natalia V. Vasilyeva
    5. Sergey A. Sayganov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluating the effect of public health intervention on the global-wide spread trajectory of Covid-19

    1. Zixin Hu
    2. Qiyang Ge
    3. Shudi Li
    4. Li Jin
    5. Momiao Xiong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Conformational dynamics of 13 amino acids long NSP11 of SARS-CoV-2 under membrane mimetics and different solvent conditions

    1. Kundlik Gadhave
    2. Prateek Kumar
    3. Ankur Kumar
    4. Taniya Bhardwaj
    5. Neha Garg
    6. Rajanish Giri

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Rapid GMP-Compliant Expansion of SARS-CoV-2–Specific T Cells From Convalescent Donors for Use as an Allogeneic Cell Therapy for COVID-19

    1. Rachel S. Cooper
    2. Alasdair R. Fraser
    3. Linda Smith
    4. Paul Burgoyne
    5. Stuart N. Imlach
    6. Lisa M. Jarvis
    7. David M. Turner
    8. Sharon Zahra
    9. Marc L. Turner
    10. John D. M. Campbell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Modeling Control, Lockdown & Exit Strategies for COVID-19 Pandemic in India

    1. Madhab Barman
    2. Snigdhashree Nayak
    3. Manoj K. Yadav
    4. Soumyendu Raha
    5. Nachiketa Mishra

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  6. Ebselen Reacts with SARS Coronavirus-2 Main Protease Crystals

    1. Tek Narsingh Malla
    2. Suraj Pandey
    3. Ishwor Poudyal
    4. Denisse Feliz
    5. Moraima Noda
    6. George Phillips
    7. Emina Stojkovic
    8. Marius Schmidt

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Estimating individual risks of COVID-19-associated hospitalization and death using publicly available data

    1. Rajiv Bhatia
    2. Jeffrey Klausner

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The COVID-19 herd immunity threshold is not low: A re-analysis of European data from spring of 2020

    1. Spencer J. Fox
    2. Pratyush Potu
    3. Michael Lachmann
    4. Ravi Srinivasan
    5. Lauren Ancel Meyers

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Discrimination as a predictor of poor mental health among LGBTQ+ people during the COVID-19 pandemic: cross-sectional analysis of the online Queerantine study

    1. Dylan Kneale
    2. Laia Bécares

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Data-driven modeling and forecasting of COVID-19 outbreak for public policy making

    1. A. Hasan
    2. E.R.M. Putri
    3. H. Susanto
    4. N. Nuraini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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