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. Post-Mendelian genetic model in COVID-19

    1. Nicola Picchiotti
    2. Elisa Benetti
    3. Chiara Fallerini
    4. Sergio Daga
    5. Margherita Baldassarri
    6. Francesca Fava
    7. Kristina Zguro
    8. Floriana Valentino
    9. Gabriella Doddato
    10. Annarita Giliberti
    11. Rossella Tita
    12. Sara Amitrano
    13. Mirella Bruttini
    14. Laura Di Sarno
    15. Nicola Iuso
    16. Diana Alaverdian
    17. Giada Beligni
    18. Susanna Croci
    19. Ilaria Meloni
    20. Anna Maria Pinto
    21. Chiara Gabbi
    22. Stefano Ceri
    23. Antonio Esposito
    24. Pietro Pinoli
    25. Francis P. Crawley
    26. Elisa Frullanti
    27. Francesca Mari
    28. GEN-COVID Multicenter Study
    29. Marco Gori
    30. Alessandra Renieri
    31. Simone Furini

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Social Media and Research Publication Activity During Early Stages of the COVID-19 Pandemic: Longitudinal Trend Analysis

    1. Sonia L Taneja
    2. Monica Passi
    3. Sumona Bhattacharya
    4. Samuel A Schueler
    5. Sandeep Gurram
    6. Christopher Koh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Evaluation of a Modified Early Warning Score (MEWS) adjusted for COVID-19 patients (CEWS) to identify risk of ICU admission or death

    1. Linda Smid
    2. Lano Osman
    3. Sandra M. Arend
    4. Stefanie de Groot
    5. Mark G.J. de Boer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Association of COVID-19 incidence with objectively and subjectively measured mental health proxies in the Austrian Football League: an epidemiological study

    1. Antje van der Zee-Neuen
    2. Alexander Seymer
    3. Dagmar Schaffler-Schaden
    4. Juergen Herfert
    5. James O Brien
    6. Tim Johansson
    7. Patrick Kutschar
    8. Stephan Ludwig
    9. Thomas Stoeggl
    10. David Keeley
    11. Maria Flamm
    12. Juergen Osterbrink

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Bridging the gaps in test interpretation of SARS-CoV-2 through Bayesian network modelling

    1. Yue Wu
    2. David Foley
    3. Jessica Ramsay
    4. Owen Woodberry
    5. Steven Mascaro
    6. Ann E. Nicholson
    7. Tom Snelling

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Quantifying the potential value of antigen-detection rapid diagnostic tests for COVID-19: a modelling analysis

    1. Saskia Ricks
    2. Emily A. Kendall
    3. David W. Dowdy
    4. Jilian A. Sacks
    5. Samuel G. Schumacher
    6. Nimalan Arinaminpathy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Tele- Yoga therapy for Patients with Chronic Pain during Covid-19 Lockdown: A Prospective Nonrandomized Single Arm Clinical Trial

    1. Neha Sharma
    2. Dipa Modi
    3. Asha Nathwani
    4. Bhavna Pandya
    5. Jaydeep Joshi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A systematic review and meta-analysis on chloroquine and hydroxychloroquine as monotherapy or combined with azithromycin in COVID-19 treatment

    1. Ramy Mohamed Ghazy
    2. Abdallah Almaghraby
    3. Ramy Shaaban
    4. Ahmed Kamal
    5. Hatem Beshir
    6. Amr Moursi
    7. Ahmed Ramadan
    8. Sarah Hamed N. Taha

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  9. Self-Collected Anterior Nasal and Saliva Specimens versus Health Care Worker-Collected Nasopharyngeal Swabs for the Molecular Detection of SARS-CoV-2

    1. K. E. Hanson
    2. A. P. Barker
    3. D. R. Hillyard
    4. N. Gilmore
    5. J. W. Barrett
    6. R. R. Orlandi
    7. S. M. Shakir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Physical activity, mental health and well-being of adults during initial COVID-19 containment strategies: A multi-country cross-sectional analysis

    1. James Faulkner
    2. Wendy J. O’Brien
    3. Bronagh McGrane
    4. Daniel Wadsworth
    5. John Batten
    6. Christopher D. Askew
    7. Claire Badenhorst
    8. Erin Byrd
    9. Maura Coulter
    10. Nick Draper
    11. Catherine Elliot
    12. Simon Fryer
    13. Michael J. Hamlin
    14. John Jakeman
    15. Kelly A. Mackintosh
    16. Melitta A. McNarry
    17. Andrew Mitchelmore
    18. John Murphy
    19. Helen Ryan-Stewart
    20. Zoe Saynor
    21. Mia Schaumberg
    22. Keeron Stone
    23. Lee Stoner
    24. Beth Stuart
    25. Danielle Lambrick

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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