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. Is scaling-up COVID-19 testing cost-saving?

    1. Bernardo Sousa-Pinto
    2. João Almeida Fonseca
    3. Altamiro Costa-Pereira
    4. Francisco Nuno Rocha-Gonçalves

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Structural analysis of full-length SARS-CoV-2 spike protein from an advanced vaccine candidate

    1. Sandhya Bangaru
    2. Gabriel Ozorowski
    3. Hannah L. Turner
    4. Aleksandar Antanasijevic
    5. Deli Huang
    6. Xiaoning Wang
    7. Jonathan L. Torres
    8. Jolene K. Diedrich
    9. Jing-Hui Tian
    10. Alyse D. Portnoff
    11. Nita Patel
    12. Michael J. Massare
    13. John R. Yates
    14. David Nemazee
    15. James C. Paulson
    16. Greg Glenn
    17. Gale Smith
    18. Andrew B. Ward

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Correction in Active Cases Data of COVID-19 for the US States by Analytical Study

    1. Ravi Solanki
    2. Anubhav Varshney
    3. Raveesh Gourishetty
    4. Saniya Minase
    5. Namitha Sivadas
    6. Ashutosh Mahajan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Covid-19 SEIDRD Modelling for Pakistan with implementation of seasonality, healthcare capacity and behavioral risk reduction

    1. Shoab Saadat
    2. Salman Mansoor

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Mathematical modelling of the dynamics and containment of COVID-19 in Ukraine

    1. Yuliya N. Kyrychko
    2. Konstantin B. Blyuss
    3. Igor Brovchenko

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Rehabilitation Outcomes and Infection Control in the Early Stage of the COVID-19 Pandemic

    1. Yukimasa Igawa
    2. Takahiro Sugimoto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Reduction in transfer of micro-organisms between patients and staff using short-sleeved gowns and hand/arm hygiene in intensive care during the COVID-19 pandemic: A simulation-based randomised trial

    1. Laura Vincent
    2. Mudathir Ibrahim
    3. Joanne Kitchin
    4. Claire Pickering
    5. Jennie Wilson
    6. Enrico Sorrentino
    7. Claudia Salvagno
    8. Laurie Earl
    9. Louise Ma
    10. Kathryn Simpson
    11. Rose Baker
    12. Peter McCulloch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. DNA methylation architecture of the ACE2 gene in nasal cells of children

    1. Andres Cardenas
    2. Sheryl L. Rifas-Shiman
    3. Joanne E. Sordillo
    4. Dawn L. DeMeo
    5. Andrea A. Baccarelli
    6. Marie-France Hivert
    7. Diane R. Gold
    8. Emily Oken

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Validity of the Use of Wrist and Forehead Temperatures in Screening the General Population for COVID-19: A Prospective Real-World Study

    1. Ge CHEN
    2. Jiarong XIE
    3. Guangli DAI
    4. Peijun ZHENG
    5. Xiaqing HU
    6. Hongpeng LU
    7. Lei XU
    8. Xueqin CHEN
    9. Xiaomin CHEN

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Shark conservation risks associated with the use of shark liver oil in SARS-CoV-2 vaccine development

    1. Catherine Macdonald
    2. Joshua Soll

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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