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. Antibody responses boosted in seropositive healthcare workers after single dose of SARS-CoV-2 mRNA vaccine

    1. Todd Bradley
    2. Elin Grundberg
    3. CODIEFY study team
    4. Rangaraj Selvarangan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. College openings in the United States increase mobility and COVID-19 incidence

    1. Martin S. Andersen
    2. Ana I. Bento
    3. Anirban Basu
    4. Christopher R. Marsicano
    5. Kosali I. Simon

    Reviewed by Rapid Reviews Infectious Diseases, ScreenIT

    2 evaluationsAppears in 2 listsLatest version Latest activity

  3. The impact of COVID-19 restriction measures on loneliness among older adults in Austria

    1. Erwin Stolz
    2. Hannes Mayerl
    3. Wolfgang Freidl

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. An external validation of the QCovid risk prediction algorithm for risk of mortality from COVID-19 in adults: a national validation cohort study in England

    1. Vahé Nafilyan
    2. Ben Humberstone
    3. Nisha Mehta
    4. Ian Diamond
    5. Carol Coupland
    6. Luke Lorenzi
    7. Piotr Pawelek
    8. Ryan Schofield
    9. Jasper Morgan
    10. Paul Brown
    11. Ronan Lyons
    12. Aziz Sheikh
    13. Julia Hippisley-Cox

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Social relationships and depression during the COVID-19 lockdown: longitudinal analysis of the COVID-19 Social Study

    1. Andrew Sommerlad
    2. Louise Marston
    3. Jonathan Huntley
    4. Gill Livingston
    5. Gemma Lewis
    6. Andrew Steptoe
    7. Daisy Fancourt

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Prevalent, protective, and convergent IgG recognition of SARS-CoV-2 non-RBD spike epitopes

    1. William N. Voss
    2. Yixuan J. Hou
    3. Nicole V. Johnson
    4. George Delidakis
    5. Jin Eyun Kim
    6. Kamyab Javanmardi
    7. Andrew P. Horton
    8. Foteini Bartzoka
    9. Chelsea J. Paresi
    10. Yuri Tanno
    11. Chia-Wei Chou
    12. Shawn A. Abbasi
    13. Whitney Pickens
    14. Katia George
    15. Daniel R. Boutz
    16. Dalton M. Towers
    17. Jonathan R. McDaniel
    18. Daniel Billick
    19. Jule Goike
    20. Lori Rowe
    21. Dhwani Batra
    22. Jan Pohl
    23. Justin Lee
    24. Shivaprakash Gangappa
    25. Suryaprakash Sambhara
    26. Michelle Gadush
    27. Nianshuang Wang
    28. Maria D. Person
    29. Brent L. Iverson
    30. Jimmy D. Gollihar
    31. John M. Dye
    32. Andrew S. Herbert
    33. Ilya J. Finkelstein
    34. Ralph S. Baric
    35. Jason S. McLellan
    36. George Georgiou
    37. Jason J. Lavinder
    38. Gregory C. Ippolito

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Analytical validity of nanopore sequencing for rapid SARS-CoV-2 genome analysis

    1. Rowena A. Bull
    2. Thiruni N. Adikari
    3. James M. Ferguson
    4. Jillian M. Hammond
    5. Igor Stevanovski
    6. Alicia G. Beukers
    7. Zin Naing
    8. Malinna Yeang
    9. Andrey Verich
    10. Hasindu Gamaarachchi
    11. Ki Wook Kim
    12. Fabio Luciani
    13. Sacha Stelzer-Braid
    14. John-Sebastian Eden
    15. William D. Rawlinson
    16. Sebastiaan J. van Hal
    17. Ira W. Deveson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Analysis of Covid-19 and non-Covid-19 viruses, including influenza viruses, to determine the influence of intensive preventive measures in Japan

    1. Yosuke Hirotsu
    2. Makoto Maejima
    3. Masahiro Shibusawa
    4. Kenji Amemiya
    5. Yuki Nagakubo
    6. Kazuhiro Hosaka
    7. Hitomi Sueki
    8. Hitoshi Mochizuki
    9. Toshiharu Tsutsui
    10. Yumiko Kakizaki
    11. Yoshihiro Miyashita
    12. Masao Omata

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Covid19Risk.ai: An Open Source Repository and Online Calculator of Prediction Models for Early Diagnosis and Prognosis of Covid-19

    1. Iva Halilaj
    2. Avishek Chatterjee
    3. Yvonka van Wijk
    4. Guangyao Wu
    5. Brice van Eeckhout
    6. Cary Oberije
    7. Philippe Lambin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Correction of Daily Positivity Rates for contribution of various test protocols being used in a pandemic

    1. Bhavik Bansal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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