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. SARS-CoV-2 Infection in Ivory Coast: A Serosurveillance Survey among Gold Mine Workers

    1. Jean Marie Milleliri
    2. Daouda Coulibaly
    3. Blaise Nyobe
    4. Jean-Loup Rey
    5. Franck Lamontagne
    6. Laurent Hocqueloux
    7. Susanna Giaché
    8. Antoine Valery
    9. Thierry Prazuck

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Viral Load in the Upper Respiratory Tract of Children and Adults With Early Acute Coronavirus Disease 2019 (COVID-19)

    1. Stéphanie Baggio
    2. Arnaud G L’Huillier
    3. Sabine Yerly
    4. Mathilde Bellon
    5. Noémie Wagner
    6. Marie Rohr
    7. Angela Huttner
    8. Géraldine Blanchard-Rohner
    9. Natasha Loevy
    10. Laurent Kaiser
    11. Frédérique Jacquerioz
    12. Isabella Eckerle

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. On the corona infection model with contact restriction

    1. Juergen Mimkes
    2. Rainer Janssen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Age-specific social mixing of school-aged children in a US setting using proximity detecting sensors and contact surveys

    1. Kyra H. Grantz
    2. Derek A. T. Cummings
    3. Shanta Zimmer
    4. Charles Vukotich
    5. David Galloway
    6. Mary Lou Schweizer
    7. Hasan Guclu
    8. Jennifer Cousins
    9. Carrie Lingle
    10. Gabby M. H. Yearwood
    11. Kan Li
    12. Patti Calderone
    13. Eva Noble
    14. Hongjiang Gao
    15. Jeanette Rainey
    16. Amra Uzicanin
    17. Jonathan M. Read

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The reproduction number R for COVID-19 in England: Why hasn’t “lockdown” been more effective?

    1. Alastair Grant

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Within-patient genetic diversity of SARS-CoV-2

    1. Jack Kuipers
    2. Aashil A Batavia
    3. Kim Philipp Jablonski
    4. Fritz Bayer
    5. Nico Borgsmüller
    6. Arthur Dondi
    7. Monica-Andreea Drăgan
    8. Pedro Ferreira
    9. Katharina Jahn
    10. Lisa Lamberti
    11. Martin Pirkl
    12. Susana Posada-Céspedes
    13. Ivan Topolsky
    14. Ina Nissen
    15. Natascha Santacroce
    16. Elodie Burcklen
    17. Tobias Schär
    18. Vincenzo Capece
    19. Christiane Beckmann
    20. Olivier Kobel
    21. Christoph Noppen
    22. Maurice Redondo
    23. Sarah Nadeau
    24. Sophie Seidel
    25. Noemie Santamaria de Souza
    26. Christian Beisel
    27. Tanja Stadler
    28. Niko Beerenwinkel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Two-step strategy for the identification of SARS-CoV-2 variant of concern 202012/01 and other variants with spike deletion H69–V70, France, August to December 2020

    1. Antonin Bal
    2. Gregory Destras
    3. Alexandre Gaymard
    4. Karl Stefic
    5. Julien Marlet
    6. Sébastien Eymieux
    7. Hadrien Regue
    8. Quentin Semanas
    9. Constance d’Aubarede
    10. Geneviève Billaud
    11. Frédéric Laurent
    12. Claudia Gonzalez
    13. Yahia Mekki
    14. Martine Valette
    15. Maude Bouscambert
    16. Catherine Gaudy-Graffin
    17. Bruno Lina
    18. Florence Morfin
    19. Laurence Josset
    20. the COVID-Diagnosis HCL Study Group

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Addition of Tocilizumab to the Standard of Care Reduces Mortality in Severe COVID-19: A Systematic Review and Meta-Analysis

    1. Umesha Boregowda
    2. Abhilash Perisetti
    3. Arpitha Nanjappa
    4. Mahesh Gajendran
    5. Gurusaravanan Kutti Sridharan
    6. Hemant Goyal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Knowledge and Behaviors towards COVID-19 among University of Aleppo Students: An Online Cross-sectional Survey

    1. Aos Alhamid
    2. Ziad Aljarad
    3. Ahmad Alhamid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Validation testing to determine the sensitivity of lateral flow testing for asymptomatic SARS-CoV-2 detection in low prevalence settings: Testing frequency and public health messaging is key

    1. Jack Ferguson
    2. Steven Dunn
    3. Angus Best
    4. Jeremy Mirza
    5. Benita Percival
    6. Megan Mayhew
    7. Oliver Megram
    8. Fiona Ashford
    9. Thomas White
    10. Emma Moles-Garcia
    11. Liam Crawford
    12. Tim Plant
    13. Andrew Bosworth
    14. Michael Kidd
    15. Alex Richter
    16. Jonathan Deeks
    17. Alan McNally

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity
Newer Page 1650 of 2361 Older