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. Longitudinal proteomic profiling of dialysis patients with COVID-19 reveals markers of severity and predictors of death

    1. Jack Gisby
    2. Candice L Clarke
    3. Nicholas Medjeral-Thomas
    4. Talat H Malik
    5. Artemis Papadaki
    6. Paige M Mortimer
    7. Norzawani B Buang
    8. Shanice Lewis
    9. Marie Pereira
    10. Frederic Toulza
    11. Ester Fagnano
    12. Marie-Anne Mawhin
    13. Emma E Dutton
    14. Lunnathaya Tapeng
    15. Arianne C Richard
    16. Paul DW Kirk
    17. Jacques Behmoaras
    18. Eleanor Sandhu
    19. Stephen P McAdoo
    20. Maria F Prendecki
    21. Matthew C Pickering
    22. Marina Botto
    23. Michelle Willicombe
    24. David C Thomas
    25. James E Peters

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Surges in COVID-19 are led by lax government interventions in initial outbreaks

    1. Hsiang-Yu Yuan
    2. Lindsey Wu
    3. Dong-Ping Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. In vitro characterization of engineered red blood cells as viral traps against HIV-1 and SARS-CoV-2

    1. Magnus A.G. Hoffmann
    2. Collin Kieffer
    3. Pamela J. Bjorkman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Scalable Epidemiological Workflows to Support COVID-19 Planning and Response

    1. Dustin Machi
    2. Parantapa Bhattacharya
    3. Stefan Hoops
    4. Jiangzhuo Chen
    5. Henning Mortveit
    6. Srinivasan Venkatramanan
    7. Bryan Lewis
    8. Mandy Wilson
    9. Arindam Fadikar
    10. Tom Maiden
    11. Christopher L. Barrett
    12. Madhav V. Marathe

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Rapid quantitative screening assay for SARS-CoV-2 neutralizing antibodies using HiBiT-tagged virus-like particles

    1. Kei Miyakawa
    2. Sundararaj Stanleyraj Jeremiah
    3. Norihisa Ohtake
    4. Satoko Matsunaga
    5. Yutaro Yamaoka
    6. Mayuko Nishi
    7. Takeshi Morita
    8. Ryo Saji
    9. Mototsugu Nishii
    10. Hirokazu Kimura
    11. Hideki Hasegawa
    12. Ichiro Takeuchi
    13. Akihide Ryo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Impact of universal masking in health care and community on SARS-CoV-2 spread

    1. MW Pletz
    2. A Steiner
    3. M Kesselmeier
    4. B Löffler
    5. S Trommer
    6. S Weis
    7. J Maschmann
    8. A Stallmach

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Composition of the immunoglobulin G glycome associates with the severity of COVID-19

    1. Tea Petrović
    2. Inês Alves
    3. Dario Bugada
    4. Julio Pascual
    5. Frano Vučković
    6. Andrea Skelin
    7. Joana Gaifem
    8. Judit Villar-Garcia
    9. Manuel M. Vicente
    10. Ângela Fernandes
    11. Ana M. Dias
    12. Ivan-Christian Kurolt
    13. Alemka Markotić
    14. Dragan Primorac
    15. Adriana Soares
    16. Luis Malheiro
    17. Irena Trbojević-Akmačić
    18. Miguel Abreu
    19. Rui Sarmento e Castro
    20. Silvia Bettinelli
    21. Annapaola Callegaro
    22. Marco Arosio
    23. Lorena Sangiorgio
    24. Luca F Lorini
    25. Xavier Castells
    26. Juan P. Horcajada
    27. Salomé S. Pinho
    28. Massimo Allegri
    29. Clara Barrios
    30. Gordan Lauc

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Multicenter cohort study of children hospitalized with SARS-CoV-2 infection

    1. Michelle Barton
    2. Jesse Papenburg
    3. Rolando Ulloa-Gutierrez
    4. Helena Brenes-Chacon
    5. Adriana Yock-Corrales
    6. Gabriela Ivankovich-Escoto
    7. Alejandra Soriano-Fallas
    8. Marcela Hernandez-de Mezerville
    9. Ari Bitnun
    10. Shaun K. Morris
    11. Tala El Tal
    12. E. Ann Yeh
    13. Peter Gill
    14. Ronald M. Laxer
    15. Alireza Nateghian
    16. Behzad Haghighi Aski
    17. Ali Manafif
    18. Marie-Astrid Lefebvre
    19. Chelsea Caya
    20. Suzette Cooke
    21. Tammie Dewan
    22. Lea Restivo
    23. Isabelle Viel-Thériault
    24. Adriana Trajtman
    25. Rachel Dwilow
    26. Jared Bullard
    27. Manish Sadarangani
    28. Ashley Roberts
    29. Nicole Le Saux
    30. Jennifer Bowes
    31. Jacqueline K. Wong
    32. Rupeena Purewal
    33. Janell Lautermilch
    34. Kirk Leifso
    35. Cheryl Foo
    36. Leigh Anne Newhook
    37. Ann Bayliss
    38. Dara Petel
    39. Joan Robinson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Predict new cases of the Coronavirus 19; in Michigan, U.S.A. or other countries using Crow-AMSAA Method (Preprint)

    1. Yanshuo Wang

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Emergence and Evolution of a Prevalent New SARS-CoV-2 Variant in the United States

    1. Adrian A. Pater
    2. Michael S. Bosmeny
    3. Christopher L. Barkau
    4. Katy N. Ovington
    5. Ramadevi Chilamkurthy
    6. Mansi Parasrampuria
    7. Seth B. Eddington
    8. Abadat O. Yinusa
    9. Adam A. White
    10. Paige E. Metz
    11. Rourke J. Sylvain
    12. Madison M. Hebert
    13. Scott W. Benzinger
    14. Koushik Sinha
    15. Keith T. Gagnon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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