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. Designed proteins assemble antibodies into modular nanocages

    1. Robby Divine
    2. Ha V. Dang
    3. George Ueda
    4. Jorge A. Fallas
    5. Ivan Vulovic
    6. William Sheffler
    7. Shally Saini
    8. Yan Ting Zhao
    9. Infencia Xavier Raj
    10. Peter A. Morawski
    11. Madeleine F. Jennewein
    12. Leah J. Homad
    13. Yu-Hsin Wan
    14. Marti R. Tooley
    15. Franziska Seeger
    16. Ali Etemadi
    17. Mitchell L. Fahning
    18. James Lazarovits
    19. Alex Roederer
    20. Alexandra C. Walls
    21. Lance Stewart
    22. Mohammadali Mazloomi
    23. Neil P. King
    24. Daniel J. Campbell
    25. Andrew T. McGuire
    26. Leonidas Stamatatos
    27. Hannele Ruohola-Baker
    28. Julie Mathieu
    29. David Veesler
    30. David Baker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19 pandemic in Djibouti: Epidemiology and the response strategy followed to contain the virus during the first two months, 17 March to 16 May 2020

    1. Mohamed Elhakim
    2. Saleh Banoita Tourab
    3. Ahmed Zouiten

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Efficacy of Tocilizumab in Covid 19: A metanalysis of case series studies

    1. Shalam Mohamed Hussain
    2. Ayesha Farhana Syeda
    3. Osama Al-Wutayd
    4. Abdullah Al Nafeesah
    5. Mohammad Alshammari
    6. Sulaiman Alnasser
    7. Nandakumar Krishnadas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Remdesivir-based therapy improved recovery of patients with COVID-19 in the SARSTer multicentre, real-world study

    1. Robert Flisiak
    2. Dorota Zarębska-Michaluk
    3. Aleksandra Berkan-Kawińska
    4. Magdalena Tudrujek-Zdunek
    5. Magdalena Rogalska
    6. Anna Piekarska
    7. Dorota Kozielewicz
    8. Krzysztof Kłos
    9. Marta Rorat
    10. Beata Bolewska
    11. Anna Szymanek-Pasternak
    12. Włodzimierz Mazur
    13. Beata Lorenc
    14. Regina Podlasin
    15. Katarzyna Sikorska
    16. Barbara Oczko-Grzesik
    17. Cezary Iwaszkiewicz
    18. Bartosz Szetela
    19. Paweł Pabjan
    20. Małgorzata Pawłowska
    21. Krzysztof Tomasiewicz
    22. Joanna Polańska
    23. Jerzy Jaroszewicz

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. ACE2 peptide fragment interacts with several sites on the SARS-CoV-2 spike protein S1

    1. Aleksei Kuznetsov
    2. Piret Arukuusk
    3. Heleri Härk
    4. Erkki Juronen
    5. Ülo Langel
    6. Mart Ustav
    7. Jaak Järv

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Changes to the sebum lipidome upon COVID-19 infection observed via rapid sampling from the skin

    1. Matt Spick
    2. Katherine Longman
    3. Cecile Frampas
    4. Holly Lewis
    5. Catia Costa
    6. Deborah Dunn Walters
    7. Alex Stewart
    8. Michael Wilde
    9. Danni Greener
    10. George Evetts
    11. Drupad Trivedi
    12. Perdita Barran
    13. Andy Pitt
    14. Melanie Bailey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Transcriptomic dysregulations associated with SARS-CoV-2 infection in human nasopharyngeal and peripheral blood mononuclear cells

    1. Caroline Vilas Boas de Melo
    2. Maruf Ahmed Bhuiyan
    3. Winfred Nyoroka Gatua
    4. Stephen Kanyerezi
    5. Leonard Uzairue
    6. Priscilla Abechi
    7. Karan Kumar
    8. Jabale Rahmat
    9. Abdulazeez Giwa
    10. Gracious Mwandira
    11. Abisogun Mujib Olamilekan
    12. Tiffany Ezinne George
    13. Oluwapelumi John Adejinmi
    14. Monsurat Ademidun Ibironke
    15. Olayemi David Rotimi
    16. Dina Aly Mahmoud Aly Abo-Elenein
    17. Ridwanullah Abiodun Abubakar
    18. Mahmood Usman
    19. Ifeoluwa Adewunmi
    20. Oyewumi Akinpelu
    21. Olajide Emmanuel
    22. Khatendra Reang
    23. Akadiri Olalekan
    24. Sarah H. Carl

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A Model for COVID-19 Prediction in Iran Based on China Parameters

    1. Bushra Zareie
    2. Amin Roshani
    3. Mohammad Ali Mansournia
    4. Mohammad Aziz Rasouli
    5. Ghobad Moradi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A Bayesian analysis of the total number of cases of the COVID 19 when only a few data is available. A case study in the state of Goias, Brazil

    1. Renato Rodrigues Silva
    2. Wisley Donizetti Velasco
    3. Wanderson da Silva Marques
    4. Carlos Augusto Gonçalves Tibiriçá

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Periodic variations in the Covid-19 infection and fatality rates

    1. S. Peirani
    2. Ph. Icard
    3. J.A. de Freitas Pacheco

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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