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. MRCA time and epidemic dynamics of the 2019 novel coronavirus

    1. Chi Zhang
    2. Mei Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. In-hospital and 30-day mortality after percutaneous coronary intervention in England before and after the COVID-19 era

    1. Mohamed O. Mohamed
    2. Tim Kinnaird
    3. Nick Curzen
    4. Peter Ludman
    5. Jianhua Wu
    6. Muhammad Rashid
    7. Ahmad Shoaib
    8. Mark de Belder
    9. John Deanfield
    10. Chris P Gale
    11. Mamas A. Mamas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Antibody responses to endemic coronaviruses modulate COVID-19 convalescent plasma functionality

    1. William R. Morgenlander
    2. Stephanie N. Henson
    3. Daniel R. Monaco
    4. Athena Chen
    5. Kirsten Littlefield
    6. Evan M. Bloch
    7. Eric Fujimura
    8. Ingo Ruczinski
    9. Andrew R. Crowley
    10. Harini Natarajan
    11. Savannah E. Butler
    12. Joshua A. Weiner
    13. Mamie Z. Li
    14. Tania S. Bonny
    15. Sarah E. Benner
    16. Ashwin Balagopal
    17. David Sullivan
    18. Shmuel Shoham
    19. Thomas C. Quinn
    20. Susan H. Eshleman
    21. Arturo Casadevall
    22. Andrew D. Redd
    23. Oliver Laeyendecker
    24. Margaret E. Ackerman
    25. Andrew Pekosz
    26. Stephen J. Elledge
    27. Matthew Robinson
    28. Aaron A.R. Tobian
    29. H. Benjamin Larman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Fatal neuroinvasion and SARS-CoV-2 tropism in K18-hACE2 mice is partially independent on hACE2 expression

    1. Mariano Carossino
    2. Paige Montanaro
    3. Aoife O’Connell
    4. Devin Kenney
    5. Hans Gertje
    6. Kyle A. Grosz
    7. Maria Ericsson
    8. Bertrand R Huber
    9. Susanna A. Kurnick
    10. Saravanan Subramaniam
    11. Thomas A. Kirkland
    12. Joel R. Walker
    13. Kevin P. Francis
    14. Alexander D. Klose
    15. Neal Paragas
    16. Markus Bosmann
    17. Mohsan Saeed
    18. Udeni B. R. Balasuriya
    19. Florian Douam
    20. Nicholas A. Crossland

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Cerebrospinal fluid in COVID-19 neurological complications: Neuroaxonal damage, anti-SARS-Cov2 antibodies but no evidence of cytokine storm

    1. Maria A. Garcia
    2. Paula V. Barreras
    3. Allie Lewis
    4. Gabriel Pinilla
    5. Lori J. Sokoll
    6. Thomas Kickler
    7. Heba Mostafa
    8. Mario Caturegli
    9. Abhay Moghekar
    10. Kathryn C. Fitzgerald
    11. Carlos A. Pardo

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Early stage COVID-19 disease dynamics in Germany: models and parameter identification

    1. Thomas Götz
    2. Peter Heidrich

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. Widespread testing, case isolation and contact tracing may allow safe school reopening with continued moderate physical distancing: A modeling analysis of King County, WA data

    1. Chloe Bracis
    2. Eileen Burns
    3. Mia Moore
    4. David Swan
    5. Daniel B. Reeves
    6. Joshua T. Schiffer
    7. Dobromir Dimitrov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Landscapes and dynamic diversifications of B-cell receptor repertoires in COVID-19 patients

    1. Haitao Xiang
    2. Yingze Zhao
    3. Xinyang Li
    4. Peipei Liu
    5. Longlong Wang
    6. Meiniang Wang
    7. Lei Tian
    8. Hai-Xi Sun
    9. Wei Zhang
    10. Ziqian Xu
    11. Beiwei Ye
    12. Xiaoju Yuan
    13. Pengyan Wang
    14. Ning Zhang
    15. Yuhuan Gong
    16. Chengrong Bian
    17. Zhaohai Wang
    18. Linxiang Yu
    19. Jin Yan
    20. Fanping Meng
    21. Changqing Bai
    22. Xiaoshan Wang
    23. Xiaopan Liu
    24. Kai Gao
    25. Liang Wu
    26. Longqi Liu
    27. Ying Gu
    28. Yuhai Bi
    29. Yi Shi
    30. Shaogeng Zhang
    31. Chen Zhu
    32. Xun Xu
    33. Guizhen Wu
    34. George F. Gao
    35. Naibo Yang
    36. William J. Liu
    37. Penghui Yang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Mechanism of SARS-CoV-2 polymerase stalling by remdesivir

    1. Goran Kokic
    2. Hauke S. Hillen
    3. Dimitry Tegunov
    4. Christian Dienemann
    5. Florian Seitz
    6. Jana Schmitzova
    7. Lucas Farnung
    8. Aaron Siewert
    9. Claudia Höbartner
    10. Patrick Cramer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. People Behavior Changes in China during COVID-19 Pandemic

    1. Yongzhong Wu
    2. Mianmian Huang
    3. Guie Xie
    4. Xiangying Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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