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. Pandemic Control in Econ-Epi Networks

    1. Marina Azzimonti
    2. Alessandra Fogli
    3. Fabrizio Perri
    4. Mark Ponder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Interferon alpha-based combinations suppress SARS-CoV-2 infection in vitro and in vivo

    1. Aleksandr Ianevski
    2. Rouan Yao
    3. Eva Zusinaite
    4. Laura Sandra Lello
    5. Sainan Wang
    6. Eunji Jo
    7. Jaewon Yang
    8. Erlend Ravlo
    9. Wei Wang
    10. Hilde Lysvand
    11. Kirsti Løseth
    12. Valentyn Oksenych
    13. Tanel Tenson
    14. Marc P. Windisch
    15. Minna Poranen
    16. Anni I. Nieminen
    17. Svein Arne Nordbø
    18. Mona Høysæter Fenstad
    19. Gunnveig Grødeland
    20. Pål Aukrust
    21. Marius Trøseid
    22. Anu Kantele
    23. Astra Vitkauskiene
    24. Nicolas Legrand
    25. Andres Merits
    26. Magnar Bjørås
    27. Denis E. Kainov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Simple scoring tool to estimate risk of hospitalization and mortality in ambulatory and emergency department patients with COVID-19

    1. Brandon J. Webb
    2. Nicholas M. Levin
    3. Nancy Grisel
    4. Samuel M. Brown
    5. Ithan D. Peltan
    6. Emily S. Spivak
    7. Mark Shah
    8. Eddie Stenehjem
    9. Joseph Bledsoe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 infects cells after viral entry via clathrin-mediated endocytosis

    1. Armin Bayati
    2. Rahul Kumar
    3. Vincent Francis
    4. Peter S. McPherson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. IMMUNO-COV v2.0: Development and Validation of a High-Throughput Clinical Assay for Measuring SARS-CoV-2-Neutralizing Antibody Titers

    1. Rianna Vandergaast
    2. Timothy Carey
    3. Samantha Reiter
    4. Chase Lathrum
    5. Patrycja Lech
    6. Clement Gnanadurai
    7. Michelle Haselton
    8. Jason Buehler
    9. Riya Narjari
    10. Luke Schnebeck
    11. Anne Roesler
    12. Kara Sevola
    13. Lukkana Suksanpaisan
    14. Alice Bexon
    15. Shruthi Naik
    16. Bethany Brunton
    17. Scott C. Weaver
    18. Grace Rafael
    19. Sheryl Tran
    20. Alina Baum
    21. Christos A. Kyratsous
    22. Kah Whye Peng
    23. Stephen J. Russell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread

    1. Raj Dandekar
    2. Chris Rackauckas
    3. George Barbastathis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Survival and 30-days hospital outcome in hospitalized COVID-19 patients in Upper Egypt: Multi-center study

    1. Aliae AR Mohamed Hussein
    2. Islam Galal
    3. Mohammed Mustafa Abdel Rasik Mohamed
    4. Mohamed Eltaher AA Ibrahim
    5. Shazly B Ahmed

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. COVID-19 Test & Trace Success Determinants: Modeling On A Network

    1. Ofir Reich

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Mental health problems in the general population during and after the first lockdown phase due to the SARS-Cov-2 pandemic: rapid review of multi-wave studies

    1. Dirk Richter
    2. Steffi Riedel-Heller
    3. Simeon Joel Zürcher

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Management of conductive deafness from Otitis Media with Effusion (known as ‘glue ear’) in children using bone conduction headsets when grommet operations were unavailable during COVID-19

    1. T Holland Brown
    2. Isobel Fitzgerlad O’Connor
    3. Jessica Bewick
    4. Colin Morley

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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