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. Excess mortality for care home residents during the first 23 weeks of the COVID-19 pandemic in England: a national cohort study

    1. Marcello Morciano
    2. Jonathan Stokes
    3. Evangelos Kontopantelis
    4. Ian Hall
    5. Alex J. Turner

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Clinical Characteristics and Severity of COVID-19 Disease in Patients from Boston Area Hospitals

    1. Hesam Dashti
    2. David W. Bates
    3. Elise Roche
    4. Julie Fiskio
    5. Samia Mora
    6. Olga V. Demler

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Colchicine use in patients with COVID-19: A systematic review and meta-analysis

    1. Leonard Chiu
    2. Chun-Han Lo
    3. Max Shen
    4. Nicholas Chiu
    5. Rahul Aggarwal
    6. Jihui Lee
    7. Young-Geun Choi
    8. Henry Lam
    9. Elizabeth Horn Prsic
    10. Ronald Chow
    11. Hyun Joon Shin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. How many COVID-19 cases could have been prevented in the US if its interventions were as effective as those in China and South Korea?

    1. Kai Liu
    2. Yukun Song
    3. Menghui Li
    4. Zhesi Shen
    5. Ming Wang
    6. Jinshan Wu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Neuropilin-1 assists SARS-CoV-2 infection by stimulating the separation of Spike protein S1 and S2

    1. Zhen-lu Li
    2. Matthias Buck

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Mutational analysis unveils the temporal and spatial distribution of G614 genotype of SARS-CoV-2in different Indian states and its association with case fatality rate of COVID-19

    1. Ballamoole Krishna Kumar
    2. Bakilapadavu Venkatraja
    3. Kattapuni Suresh Prithvisagar
    4. Praveen Rai
    5. Anusha Rohit
    6. Madhura Nagesh Hegde
    7. Indrani Karunasagar
    8. Iddya Karunasagar

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Publication practices during the COVID-19 pandemic: Biomedical preprints and peer-reviewed literature

    1. Yulia V. Sevryugina
    2. Andrew J. Dicks

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Impact of systemic corticosteroids on hospitalized patients with COVID-19: January 2021 Meta-analysis of randomized controlled trials

    1. Robert Robinson
    2. Vidhya Prakash
    3. Raad Al Tamimi
    4. Nour Albast
    5. Basma Al-Bast

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. COVID-19’s U.S. Temperature Response Profile

    1. Richard T. Carson
    2. Samuel L. Carson
    3. Thayne K. Dye
    4. Samuel A. Mayfield
    5. Daniel C. Moyer
    6. Chu A. Yu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Cold sensitivity of the SARS-CoV-2 spike ectodomain

    1. Robert J. Edwards
    2. Katayoun Mansouri
    3. Victoria Stalls
    4. Kartik Manne
    5. Brian Watts
    6. Rob Parks
    7. Katarzyna Janowska
    8. Sophie M. C. Gobeil
    9. Megan Kopp
    10. Dapeng Li
    11. Xiaozhi Lu
    12. Zekun Mu
    13. Margaret Deyton
    14. Thomas H. Oguin
    15. Jordan Sprenz
    16. Wilton Williams
    17. Kevin O. Saunders
    18. David Montefiori
    19. Gregory D. Sempowski
    20. Rory Henderson
    21. S. Munir Alam
    22. Barton F. Haynes
    23. Priyamvada Acharya

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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