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. High levels of plasminogen activator inhibitor-1, tissue plasminogen activator and fibrinogen in patients with severe COVID-19

    1. David Cabrera-Garcia
    2. Andrea Miltiades
    3. Samantha Parsons
    4. Katerina Elisman
    5. Mohammad Taghi Mansouri
    6. Gebhard Wagener
    7. Neil L. Harrison

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Spatial and temporal trends in social vulnerability and COVID-19 incidence and death rates in the United States

    1. Brian Neelon
    2. Fedelis Mutiso
    3. Noel T. Mueller
    4. John L. Pearce
    5. Sara E. Benjamin-Neelon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Impact of Duration of Cessation of Mass BCG Vaccination Programs on COVID-19 Mortality

    1. Tareef Fadhil Raham

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Dilution-based evaluation of airborne infection risk - Thorough expansion of Wells-Riley model

    1. Sheng Zhang
    2. Zhang Lin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID-19 knowledge, attitudes, and practices of United Arab Emirates medical and health sciences students: A cross sectional study

    1. Noura Baniyas
    2. Mohamud Sheek-Hussein
    3. Nouf Al Kaabi
    4. Maitha Al Shamsi
    5. Maitha Al Neyadi
    6. Rauda Al Khoori
    7. Suad Ajab
    8. Muhammad Abid
    9. Michal Grivna
    10. Fikri M. Abu-Zidan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Identical trends of SARS-Cov-2 transmission and retail and transit mobility during non-lockdown periods

    1. Bernard Cazelles
    2. Catherine Comiskey
    3. Benjamin Nguyen Van Yen
    4. Clara Champagne
    5. Benjamin Roche

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. FeverIQ - A Privacy-Preserving COVID-19 Symptom Tracker with 3.6 Million Reports

    1. Ankit Ranjan
    2. Serena Li
    3. Boyuan Chen
    4. Karthik A. Jagadeesh
    5. Alan Chiu
    6. Jan Liphardt

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  8. Antibodies to SARS-CoV-2 and risk of past or future sick leave

    1. Joakim Dillner
    2. K. Miriam Elfström
    3. Jonas Blomqvist
    4. Carina Eklund
    5. Camilla Lagheden
    6. Sara Nordqvist-Kleppe
    7. Cecilia Hellström
    8. Jennie Olofsson
    9. Eni Andersson
    10. August Jernbom Falk
    11. Sofia Bergström
    12. Emilie Hultin
    13. Elisa Pin
    14. Anna Månberg
    15. Peter Nilsson
    16. My Hedhammar
    17. Sophia Hober
    18. Johan Mattsson
    19. Laila Sara Arroyo Mühr
    20. Kalle Conneryd Lundgren

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Impact of the early stage of the coronavirus disease 2019 pandemic on surgical volume in Japan

    1. T Okuno
    2. D Takada
    3. J -H Shin
    4. T Morishita
    5. H Itoshima
    6. S Kunisawa
    7. Y Imanaka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Forecast of the COVID-19 outbreak and effects of self-restraint in going out in Tokyo, Japan

    1. Junko Kurita
    2. Tamie Sugawara
    3. Yasushi Ohkusa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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