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. In vivo structure and dynamics of the RNA genome of SARS-Cov-2

    1. Yan Zhang
    2. Kun Huang
    3. Dejian Xie
    4. Jian You Lau
    5. Wenlong Shen
    6. Ping Li
    7. Dong Wang
    8. Zhong Zou
    9. Shu Shi
    10. Hongguang Ren
    11. Meilin Jin
    12. Grzegorz Kudla
    13. Zhihu Zhao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Inhibition of SARS-CoV-2 viral entry upon blocking N- and O-glycan elaboration

    1. Qi Yang
    2. Thomas A Hughes
    3. Anju Kelkar
    4. Xinheng Yu
    5. Kai Cheng
    6. Sheldon Park
    7. Wei-Chiao Huang
    8. Jonathan F Lovell
    9. Sriram Neelamegham

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Projection of COVID-19 Pandemic in Uganda

    1. Fulgensia Kamugisha Mbabazi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Safety and Efficacy of Antiviral Drugs for the Treatment of Patients with SARS-CoV-2 Infection: A Systematic Review and Meta-analyses

    1. Zuleika Aponte Torres
    2. Sandra Lopez Leon
    3. Thirumugam Muthuvel
    4. Subha Manivannan
    5. Krutika Srivastava
    6. Marco Pavesi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic

    1. Achim Doerre
    2. Gabriele Doblhammer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Exposure to a COVID-19 carrier: transmission trends in respiratory tract and estimation of infectious dose

    1. Saikat Basu

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  7. Distinct temporal characteristics of circulating alveolar epithelial and endothelial injury markers in ARDS with COVID-19

    1. Kentaro Tojo
    2. Natsuhiro Yamamoto
    3. Takahiro Mihara
    4. Miyo Abe
    5. Takahisa Goto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Amino acid transporter B 0 AT1 influence on ADAM17 interactions with SARS-CoV-2 receptor ACE2 putatively expressed in intestine, kidney, and cardiomyocytes

    1. Jacob T. Andring
    2. Robert McKenna
    3. Bruce R. Stevens

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Association of mortality and aspirin prescription for COVID-19 patients at the Veterans Health Administration

    1. Thomas F. Osborne
    2. Zachary P. Veigulis
    3. David M. Arreola
    4. Satish M. Mahajan
    5. Eliane Röösli
    6. Catherine M. Curtin

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study

    1. Davide Brinati
    2. Andrea Campagner
    3. Davide Ferrari
    4. Massimo Locatelli
    5. Giuseppe Banfi
    6. Federico Cabitza

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
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