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. A scoping review of the experience of implementing population testing for SARS-CoV-2

    1. C.R. Foster
    2. F. Campbell
    3. L. Blank
    4. A.J. Cantrell
    5. M. Black
    6. A.C.K. Lee

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. One Shot Model for COVID-19 Classification and Lesions Segmentation in Chest CT Scans Using Long Short-Term Memory Network With Attention Mechanism

    1. Aram Ter-Sarkisov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Factors associated with drinking behaviour during COVID-19 social distancing and lockdown among adults in the UK

    1. Claire Garnett
    2. Sarah Jackson
    3. Melissa Oldham
    4. Jamie Brown
    5. Andrew Steptoe
    6. Daisy Fancourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Tocilizumab Improves the Prognosis of COVID-19 in Patients with High IL-6

    1. Robert Flisiak
    2. Jerzy Jaroszewicz
    3. Magdalena Rogalska
    4. Tadeusz Łapiński
    5. Aleksandra Berkan-Kawińska
    6. Beata Bolewska
    7. Magdalena Tudrujek-Zdunek
    8. Dorota Kozielewicz
    9. Marta Rorat
    10. Piotr Leszczyński
    11. Krzysztof Kłos
    12. Justyna Kowalska
    13. Paweł Pabjan
    14. Anna Piekarska
    15. Iwona Mozer-Lisewska
    16. Krzysztof Tomasiewicz
    17. Małgorzata Pawłowska
    18. Krzysztof Simon
    19. Joanna Polanska
    20. Dorota Zarębska-Michaluk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. N501Y and K417N Mutations in the Spike Protein of SARS-CoV-2 Alter the Interactions with Both hACE2 and Human-Derived Antibody: A Free Energy of Perturbation Retrospective Study

    1. Filip Fratev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Characterization of neutralizing versus binding antibodies and memory B cells in COVID-19 recovered individuals from India

    1. Kaustuv Nayak
    2. Kamalvishnu Gottimukkala
    3. Sanjeev Kumar
    4. Elluri Seetharami Reddy
    5. Venkata Viswanadh Edara
    6. Robert Kauffman
    7. Katharine Floyd
    8. Grace Mantus
    9. Deepali Savargaonkar
    10. Pawan Kumar Goel
    11. Satyam Arora
    12. Manju Rahi
    13. Carl W. Davis
    14. Susanne Linderman
    15. Jens Wrammert
    16. Mehul S. Suthar
    17. Rafi Ahmed
    18. Amit Sharma
    19. Kaja Murali-Krishna
    20. Anmol Chandele

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Towards improved social distancing guidelines: Space and time dependence of virus transmission from speech-driven aerosol transport between two individuals

    1. Fan Yang
    2. Amir A. Pahlavan
    3. Simon Mendez
    4. Manouk Abkarian
    5. Howard A. Stone

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The efficacy and safety of Favipiravir in treatment of COVID-19: a systematic review and meta-analysis of clinical trials

    1. Soheil Hassanipour
    2. Morteza Arab-Zozani
    3. Bahman Amani
    4. Forough Heidarzad
    5. Mohammad Fathalipour
    6. Rudolph Martinez-de-Hoyo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. GABAA-Receptor Agonists Limit Pneumonitis and Death in Murine Coronavirus-Infected Mice

    1. Jide Tian
    2. Blake Middleton
    3. Daniel L. Kaufman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Changes in Cause-of-Death Attribution During the Covid-19 Pandemic: Association with Hospital Quality Metrics and Implications for Future Research

    1. Kathleen A. Fairman
    2. Kellie J. Goodlet
    3. James D. Rucker

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity
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