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. SARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19

    1. Julian Braun
    2. Lucie Loyal
    3. Marco Frentsch
    4. Daniel Wendisch
    5. Philipp Georg
    6. Florian Kurth
    7. Stefan Hippenstiel
    8. Manuela Dingeldey
    9. Beate Kruse
    10. Florent Fauchere
    11. Emre Baysal
    12. Maike Mangold
    13. Larissa Henze
    14. Roland Lauster
    15. Marcus A. Mall
    16. Kirsten Beyer
    17. Jobst Röhmel
    18. Sebastian Voigt
    19. Jürgen Schmitz
    20. Stefan Miltenyi
    21. Ilja Demuth
    22. Marcel A. Müller
    23. Andreas Hocke
    24. Martin Witzenrath
    25. Norbert Suttorp
    26. Florian Kern
    27. Ulf Reimer
    28. Holger Wenschuh
    29. Christian Drosten
    30. Victor M. Corman
    31. Claudia Giesecke-Thiel
    32. Leif Erik Sander
    33. Andreas Thiel

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. The D614G mutation in the SARS-CoV2 Spike protein increases infectivity in an ACE2 receptor dependent manner

    1. Junko Ogawa
    2. Wei Zhu
    3. Nina Tonnu
    4. Oded Singer
    5. Tony Hunter
    6. Amy L Ryan (Firth)
    7. Gerald M Pao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Rapid realist review of the role of community pharmacy in the public health response to COVID-19

    1. Ian Maidment
    2. Emma Young
    3. Maura MacPhee
    4. Andrew Booth
    5. Hadar Zaman
    6. Juanita Breen
    7. Andrea Hilton
    8. Tony Kelly
    9. Geoff Wong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Socioeconomic disparities and COVID-19 vaccination acceptance: a nationwide ecologic study

    1. Gil Caspi
    2. Avshalom Dayan
    3. Yael Eshal
    4. Sigal Liverant-Taub
    5. Gilad Twig
    6. Uri Shalit
    7. Yair Lewis
    8. Avi Shina
    9. Oren Caspi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Screening for SARS-CoV-2 infection in asymptomatic individuals using the Panbio COVID-19 antigen rapid test (Abbott) compared with RT-PCR: a prospective cohort study

    1. Beatrice Winkel
    2. Emma Schram
    3. Hendrik Gremmels
    4. Sylvia Debast
    5. Rob Schuurman
    6. Annemarie Wensing
    7. Marc Bonten
    8. Edwin Goedhart
    9. Marije Hofstra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. How to remove the testing bias in CoV-2 statistics

    1. Klaus Wälde

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Prevalence and predictors of coronaphobia among frontline hospital and public health nurses

    1. Leodoro J. Labrague
    2. Janet Alexis A. De Los Santos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Environmental surveillance of SARS-CoV-2 RNA in wastewater systems and related environments in Wuhan: April to May of 2020

    1. Lu Zhao
    2. Evans Atoni
    3. Raphael Nyaruaba
    4. Yao Du
    5. Huaiyu Zhang
    6. Oscar Donde
    7. Doudou Huang
    8. Shuqi Xiao
    9. Nanjie Ren
    10. Teng Ma
    11. Zhu Shu
    12. Zhiming Yuan
    13. Lei Tong
    14. Han Xia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Non-Linear Fitting of Sigmoidal Growth Curves to predict a maximum limit to the total number of COVID-19 cases in the United States

    1. Carlos Maximiliano Dutra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19: Risks of Re-emergence, Re-infection, and Control Measures – A Long Term Modeling Study

    1. Subhas Kumar Ghosh
    2. Sachchit Ghosh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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