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. A Simple Method of Finding an Approximate Pattern of the COVID-19 Spread

    1. Hemanta Kumar Baruah

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Common Genetic Variation in Humans Impacts In Vitro Susceptibility to SARS-CoV-2 Infection

    1. Kristina Dobrindt
    2. Daisy A. Hoagland
    3. Carina Seah
    4. Bibi Kassim
    5. Callan P. O'Shea
    6. Aleta Murphy
    7. Marina Iskhakova
    8. Michael B. Fernando
    9. Samuel K. Powell
    10. P.J. Michael Deans
    11. Ben Javidfar
    12. Cyril Peter
    13. Rasmus Møller
    14. Skyler A. Uhl
    15. Meilin Fernandez Garcia
    16. Masaki Kimura
    17. Kentaro Iwasawa
    18. John F. Crary
    19. Darrell N. Kotton
    20. Takanori Takebe
    21. Laura M. Huckins
    22. Benjamin R. tenOever
    23. Schahram Akbarian
    24. Kristen J. Brennand

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Preliminary Research on a COVID-19 Test Strategy to Guide Quarantine Interval in University Students

    1. Jill M. Kolesar
    2. Tyler Gayheart
    3. Lance Poston
    4. Eric Monday
    5. Derek Forster
    6. Elizabeth Belcher
    7. Rani Jaiswal
    8. J. Kirsten Turner
    9. Donna K. Arnett
    10. Eric B. Durbin
    11. Joseph Monroe
    12. Frank Romanelli
    13. Susanne M. Arnold
    14. C. Darrell Jennings
    15. Heidi Weiss
    16. Robert DiPaola

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Amplification-free detection of SARS-CoV-2 with CRISPR-Cas13a and mobile phone microscopy

    1. Parinaz Fozouni
    2. Sungmin Son
    3. María Díaz de León Derby
    4. Gavin J. Knott
    5. Carley N. Gray
    6. Michael V. D’Ambrosio
    7. Chunyu Zhao
    8. Neil A. Switz
    9. G. Renuka Kumar
    10. Stephanie I. Stephens
    11. Daniela Boehm
    12. Chia-Lin Tsou
    13. Jeffrey Shu
    14. Abdul Bhuiya
    15. Maxim Armstrong
    16. Andrew R. Harris
    17. Pei-Yi Chen
    18. Jeannette M. Osterloh
    19. Anke Meyer-Franke
    20. Bastian Joehnk
    21. Keith Walcott
    22. Anita Sil
    23. Charles Langelier
    24. Katherine S. Pollard
    25. Emily D. Crawford
    26. Andreas S. Puschnik
    27. Maira Phelps
    28. Amy Kistler
    29. Joseph L. DeRisi
    30. Jennifer A. Doudna
    31. Daniel A. Fletcher
    32. Melanie Ott

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Therapeutic activity of an inhaled potent SARS-CoV-2 neutralizing human monoclonal antibody in hamsters

    1. Michael S. Piepenbrink
    2. Jun-Gyu Park
    3. Fatai S. Oladunni
    4. Ashlesha Deshpande
    5. Madhubanti Basu
    6. Sanghita Sarkar
    7. Andreas Loos
    8. Jennifer Woo
    9. Phillip Lovalenti
    10. Derek Sloan
    11. Chengjin Ye
    12. Kevin Chiem
    13. Christopher W. Bates
    14. Reuben E. Burch
    15. Nathaniel B. Erdmann
    16. Paul A. Goepfert
    17. Vu L. Truong
    18. Mark R. Walter
    19. Luis Martinez-Sobrido
    20. James J. Kobie

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Conformational diversity of CDR region during affinity maturation determines the affinity and stability of Sars-Cov-1 VHH-72 nanobody

    1. Suji George

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Association between climate and new daily diagnoses of COVID-19

    1. Camilla Mattiuzzi
    2. Brandon M. Henry
    3. Fabian Sanchis-Gomar
    4. Giuseppe Lippi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Prediction of 2019-nCov in Italy based on PSO and inversion analysis

    1. Sun Siyi
    2. Zheng Yangping

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Moderate to vigorous physical activity and sedentary behavior changes in self-isolating adults during the COVID-19 pandemic in Brazil: a cross-sectional survey exploring correlates

    1. Felipe Barreto Schuch
    2. Rugero A. Bulzing
    3. Jacob Meyer
    4. Guillermo F. López-Sánchez
    5. Igor Grabovac
    6. Peter Willeit
    7. Davy Vancampfort
    8. Cristina M. Caperchione
    9. Kabir P. Sadarangani
    10. André O. Werneck
    11. Philip B. Ward
    12. Mark Tully
    13. Lee Smith

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Business Shutdowns and COVID-19 Mortality

    1. Gabriele Ciminelli
    2. Sílvia Garcia-Mandicó

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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