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. On-site rapid molecular testing, mobile sampling teams and eHealth to support primary care physicians during the COVID-19 pandemic

    1. N.N. Cheung
    2. S.A. Boers
    3. S. Kiani deh Kiani
    4. R.W. Jansen
    5. D.O. Mook-Kanamori
    6. L. Janssens
    7. M.C.W. Feltkamp
    8. A.C.M Kroes
    9. B.C. Mourik

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Evaluating SARS-CoV-2 spike and nucleocapsid proteins as targets for antibody detection in severe and mild COVID-19 cases using a Luminex bead-based assay

    1. Joachim Mariën
    2. Ann Ceulemans
    3. Johan Michiels
    4. Leo Heyndrickx
    5. Karen Kerkhof
    6. Nikki Foque
    7. Marc-Alain Widdowson
    8. Laure Mortgat
    9. Els Duysburgh
    10. Isabelle Desombere
    11. Hilde Jansens
    12. Marjan Van Esbroeck
    13. Kevin K. Ariën

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Rapid COVID-19 Diagnosis Using Deep Learning of the Computerized Tomography Scans

    1. Hamed Tabrizchi
    2. Amir Mosavi
    3. Akos Szabo-Gali
    4. Laszlo Nadai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Household bubbles and COVID-19 transmission: insights from percolation theory

    1. Leon Danon
    2. Lucas Lacasa
    3. Ellen Brooks-Pollock

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Association between inhaled corticosteroid use and COVID ‐19 outcomes

    1. Anders Husby
    2. Anton Pottegård
    3. Anders Hviid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Chest CT performance and features of COVID-19 in the region of Abu Dhabi, UAE: a single institute study

    1. Ghufran Aref Saeed
    2. Abeer Ahmed Al Helali
    3. Asad Shah
    4. Safaa Almazrouei
    5. Luai A. Ahmed

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Was R < 1 before the English lockdowns? On modelling mechanistic detail, causality and inference about Covid-19

    1. Simon N. Wood
    2. Ernst C. Wit

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Gender-specific psychological and social impact of COVID-19 in Pakistan

    1. Fauziah Rabbani
    2. Hyder Ali Khan
    3. Suneel Piryani
    4. Areeba Raza Khan
    5. Fahad Abid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. The effect of reopening policy on COVID-19 related cases and deaths

    1. Qiyao Zhou

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. An Engineered Receptor-Binding Domain Improves the Immunogenicity of Multivalent SARS-CoV-2 Vaccines

    1. Yan Guo
    2. Wenhui He
    3. Huihui Mou
    4. Lizhou Zhang
    5. Jing Chang
    6. Shoujiao Peng
    7. Amrita Ojha
    8. Rubens Tavora
    9. Mark S. Parcells
    10. Guangxiang Luo
    11. Wenhui Li
    12. Guocai Zhong
    13. Hyeryun Choe
    14. Michael Farzan
    15. Brian D. Quinlan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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