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. Associations Between Self-reported Inhibitory Control, Stress, and Alcohol (Mis)use During the First Wave of the COVID-19 Pandemic in the UK: a National Cross-sectional Study Utilising Data From Four Birth Cohorts

    1. James M. Clay
    2. Lorenzo D. Stafford
    3. Matthew O. Parker

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. An overview of current mental health in the general population of Australia during the COVID-19 pandemic: Results from the COLLATE project

    1. Susan L Rossell
    2. Erica Neill
    3. Andrea Phillipou
    4. Eric J Tan
    5. Wei Lin Toh
    6. Tamsyn E Van Rheenen
    7. Denny Meyer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Voluntary Cyclical Distancing: A Potential Alternative to Constant Level Mandatory Social Distancing, Relying on an “Infection Weather Report”

    1. Daniel Goldman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Interaction network of SARS-CoV-2 with host receptome through spike protein

    1. Yunqing Gu
    2. Jun Cao
    3. Xinyu Zhang
    4. Hai Gao
    5. Yuyan Wang
    6. Jia Wang
    7. Jinlan Zhang
    8. Guanghui Shen
    9. Xiaoyi Jiang
    10. Jie Yang
    11. Xichen Zheng
    12. Jianqing Xu
    13. Cheng Cheng Zhang
    14. Fei Lan
    15. Di Qu
    16. Yun Zhao
    17. Guoliang Xu
    18. Youhua Xie
    19. Min Luo
    20. Zhigang Lu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Gaussian Statistics and Data-Assimilated Model of Mortality due to COVID-19: China, USA, Italy, Spain, UK, Iran, and the World Total

    1. T.-W. Lee
    2. J.E. Park
    3. David Hung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The implementation of a rapid sample preparation method for the detection of SARS-CoV-2 in a diagnostic laboratory in South Africa

    1. Gert Marais
    2. Michelle Naidoo
    3. Nei-yuan Hsiao
    4. Ziyaad Valley-Omar
    5. Heidi Smuts
    6. Diana Hardie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Fuzzy logic assisted COVID 19 safety assessment of dental care

    1. Andrio Adwibowo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Modeling and Sensitivity Analysis of Coronavirus Disease (COVID-19) Outbreak Prediction

    1. Ahmad Sedaghat
    2. Seyed Amir Abbas Oloomi
    3. Mahdi Ashtian Malayer
    4. Shahab S. Band
    5. Amir Mosavi
    6. Laszlo Nadai

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Sleep Disturbances in Frontline Health Care Workers During the COVID-19 Pandemic: Social Media Survey Study

    1. Nancy H Stewart
    2. Anya Koza
    3. Serena Dhaon
    4. Christiana Shoushtari
    5. Maylyn Martinez
    6. Vineet M Arora

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. SARS-CoV-2 Envelope (E) Protein Interacts with PDZ-Domain-2 of Host Tight Junction Protein ZO1

    1. Ariel Shepley-McTaggart
    2. Cari A. Sagum
    3. Isabela Oliva
    4. Elizabeth Rybakovsky
    5. Katie DiGuilio
    6. Jingjing Liang
    7. Mark T. Bedford
    8. Joel Cassel
    9. Marius Sudol
    10. James M. Mullin
    11. Ronald N. Harty

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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