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. RdRp mutations are associated with SARS-CoV-2 genome evolution

    1. Doğa Eskier
    2. Gökhan Karakülah
    3. Aslı Suner
    4. Yavuz Oktay

    Reviewed by PeerJ, ScreenIT

    3 evaluationsAppears in 2 listsLatest version Latest activity

  2. Deep Sequencing of B Cell Receptor Repertoires From COVID-19 Patients Reveals Strong Convergent Immune Signatures

    1. Jacob D. Galson
    2. Sebastian Schaetzle
    3. Rachael J. M. Bashford-Rogers
    4. Matthew I. J. Raybould
    5. Aleksandr Kovaltsuk
    6. Gavin J. Kilpatrick
    7. Ralph Minter
    8. Donna K. Finch
    9. Jorge Dias
    10. Louisa K. James
    11. Gavin Thomas
    12. Wing-Yiu Jason Lee
    13. Jason Betley
    14. Olivia Cavlan
    15. Alex Leech
    16. Charlotte M. Deane
    17. Joan Seoane
    18. Carlos Caldas
    19. Daniel J. Pennington
    20. Paul Pfeffer
    21. Jane Osbourn

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. A Computer Simulation Study on novel Corona Virus Transmission among the People in a Queue

    1. Santhosh Samuel Mathews

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Impact of physical distancing measures against COVID-19 on contacts and mixing patterns: repeated cross-sectional surveys, the Netherlands, 2016–17, April 2020 and June 2020

    1. Jantien A Backer
    2. Liesbeth Mollema
    3. Eric RA Vos
    4. Don Klinkenberg
    5. Fiona RM van der Klis
    6. Hester E de Melker
    7. Susan van den Hof
    8. Jacco Wallinga

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Mathematical Modeling and Simulation of SIR Model for COVID-2019 Epidemic Outbreak: A Case Study of India

    1. Ramjeet Singh Yadav

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Depression and loneliness during April 2020 COVID-19 restrictions in the United States, and their associations with frequency of social and sexual connections

    1. Molly Rosenberg
    2. Maya Luetke
    3. Devon Hensel
    4. Sina Kianersi
    5. Tsung-chieh Fu
    6. Debby Herbenick

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Feasibility of non-invasive nitric oxide gas inhalation to prevent endotracheal intubation in patients with acute hypoxemic respiratory failure: A single-centre experience

    1. Kiran Shekar
    2. Sneha Varkey
    3. George Cornmell
    4. Leanne Parsons
    5. Maneesha Tol
    6. Matthew Siuba
    7. Mahesh Ramanan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. The Seasonal End of Human Coronavirus Hospital Admissions with Implications for SARS-CoV-2

    1. Alan T. Evangelista

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. An age and space structured SIR model describing the Covid-19 pandemic

    1. Rinaldo M. Colombo
    2. Mauro Garavello
    3. Francesca Marcellini
    4. Elena Rossi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Extended storage of SARS-CoV-2 nasopharyngeal swabs does not negatively impact results of molecular-based testing across three clinical platforms

    1. Karin A Skalina
    2. D Y Goldstein
    3. Jaffar Sulail
    4. Eunkyu Hahm
    5. Momka Narlieva
    6. Wendy Szymczak
    7. Amy S Fox

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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