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. The effect of angiotensin converting enzyme inhibitors and angiotensin receptor blockers on death and severity of disease in patients with coronavirus disease 2019 (COVID-19): A meta-analysis

    1. S Ghosal
    2. Jagat J Mukherjee
    3. B Sinha
    4. K Gangopadhyay

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Pharmacokinetic Basis of the Hydroxychloroquine Response in COVID-19: Implications for Therapy and Prevention

    1. Mohammad Tarek
    2. Andrea Savarino

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study

    1. Annemarie B Docherty
    2. Ewen M Harrison
    3. Christopher A Green
    4. Hayley E Hardwick
    5. Riinu Pius
    6. Lisa Norman
    7. Karl A Holden
    8. Jonathan M Read
    9. Frank Dondelinger
    10. Gail Carson
    11. Laura Merson
    12. James Lee
    13. Daniel Plotkin
    14. Louise Sigfrid
    15. Sophie Halpin
    16. Clare Jackson
    17. Carrol Gamble
    18. Peter W Horby
    19. Jonathan S Nguyen-Van-Tam
    20. Antonia Ho
    21. Clark D Russell
    22. Jake Dunning
    23. Peter JM Openshaw
    24. J Kenneth Baillie
    25. Malcolm G Semple

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Predictors of non‐adherence to public health instructions during the COVID ‐19 pandemic

    1. Yehuda Pollak
    2. Haym Dayan
    3. Rachel Shoham
    4. Itai Berger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Multi-chain Fudan-CCDC model for COVID-19 in Iran

    1. Hanshuang Pan
    2. Nian Shao
    3. Yue Yan
    4. Xinyue Luo
    5. Ali Ahmadi
    6. Yasin Fadaei
    7. Jin Cheng
    8. Wenbin Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. RNA-GPS Predicts SARS-CoV-2 RNA Residency to Host Mitochondria and Nucleolus

    1. Kevin E. Wu
    2. Furqan M. Fazal
    3. Kevin R. Parker
    4. James Zou
    5. Howard Y. Chang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Heparin Inhibits Cellular Invasion by SARS-CoV-2: Structural Dependence of the Interaction of the Spike S1 Receptor-Binding Domain with Heparin

    1. Courtney J. Mycroft-West
    2. Dunhao Su
    3. Isabel Pagani
    4. Timothy R. Rudd
    5. Stefano Elli
    6. Neha S. Gandhi
    7. Scott E. Guimond
    8. Gavin J. Miller
    9. Maria C. Z. Meneghetti
    10. Helena B. Nader
    11. Yong Li
    12. Quentin M. Nunes
    13. Patricia Procter
    14. Nicasio Mancini
    15. Massimo Clementi
    16. Antonella Bisio
    17. Nicholas R. Forsyth
    18. Vito Ferro
    19. Jeremy E. Turnbull
    20. Marco Guerrini
    21. David G. Fernig
    22. Elisa Vicenzi
    23. Edwin A. Yates
    24. Marcelo A. Lima
    25. Mark A. Skidmore

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A modular framework for multiscale, multicellular, spatiotemporal modeling of acute primary viral infection and immune response in epithelial tissues and its application to drug therapy timing and effectiveness

    1. T. J. Sego
    2. Josua O. Aponte-Serrano
    3. Juliano Ferrari Gianlupi
    4. Samuel R. Heaps
    5. Kira Breithaupt
    6. Lutz Brusch
    7. Jessica Crawshaw
    8. James M. Osborne
    9. Ellen M. Quardokus
    10. Richard K. Plemper
    11. James A. Glazier

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Estimation of SARS-CoV-2 Infection Fatality Rate by Real-time Antibody Screening of Blood Donors

    1. Christian Erikstrup
    2. Christoffer Egeberg Hother
    3. Ole Birger Vestager Pedersen
    4. Kåre Mølbak
    5. Robert Leo Skov
    6. Dorte Kinggaard Holm
    7. Susanne Gjørup Sækmose
    8. Anna Christine Nilsson
    9. Patrick Terrence Brooks
    10. Jens Kjærgaard Boldsen
    11. Christina Mikkelsen
    12. Mikkel Gybel-Brask
    13. Erik Sørensen
    14. Khoa Manh Dinh
    15. Susan Mikkelsen
    16. Bjarne Kuno Møller
    17. Thure Haunstrup
    18. Lene Harritshøj
    19. Bitten Aagaard Jensen
    20. Henrik Hjalgrim
    21. Søren Thue Lillevang
    22. Henrik Ullum

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Facing the COVID-19 epidemic in NYC: a stochastic agent-based model of various intervention strategies

    1. Nicolas Hoertel
    2. Martin Blachier
    3. Carlos Blanco
    4. Mark Olfson
    5. Marc Massetti
    6. Frédéric Limosin
    7. Henri Leleu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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