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. Low-Dose Whole-Lung Radiation for COVID-19 Pneumonia

    1. Clayton B. Hess
    2. Zachary S. Buchwald
    3. William Stokes
    4. Tahseen H. Nasti
    5. Jeffrey M. Switchenko
    6. Brent D. Weinberg
    7. Nadine Rouphael
    8. James P. Steinberg
    9. Karen D. Godette
    10. David Murphy
    11. Rafi Ahmed
    12. Walter J. Curran
    13. Mohammad K. Khan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Analytical evaluation and critical appraisal of early commercial SARS-CoV-2 immunoassays for routine use in a diagnostic laboratory

    1. A Cramer
    2. N Goodman
    3. T Cross
    4. V Gant
    5. M Dziadzio

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The impact of non-pharmaceutical interventions on SARS-CoV-2 transmission across 130 countries and territories

    1. CMMID COVID-19 Working Group
    2. Yang Liu
    3. Christian Morgenstern
    4. James Kelly
    5. Rachel Lowe
    6. Mark Jit

    Reviewed by NCRC, ScreenIT

    2 evaluationsAppears in 2 listsLatest version Latest activity

  4. COVID-19-related disruptions to routine vaccination services in India: a survey of paediatric providers

    1. Anita Shet
    2. Baldeep Dhaliwal
    3. Preetika Banerjee
    4. Kelly Carr
    5. Andrea DeLuca
    6. Carl Britto
    7. Rajeev Seth
    8. Bakul Parekh
    9. Gangasamudra V Basavaraj
    10. Digant Shastri
    11. Piyush Gupta

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Virus Detection and Identification in Minutes Using Single-Particle Imaging and Deep Learning

    1. Nicolas Shiaelis
    2. Alexander Tometzki
    3. Leon Peto
    4. Andrew McMahon
    5. Christof Hepp
    6. Erica Bickerton
    7. Cyril Favard
    8. Delphine Muriaux
    9. Monique Andersson
    10. Sarah Oakley
    11. Ali Vaughan
    12. Philippa C. Matthews
    13. Nicole Stoesser
    14. Derrick W. Crook
    15. Achillefs N. Kapanidis
    16. Nicole C. Robb

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

    1. Matteo Chinazzi
    2. Jessica T. Davis
    3. Marco Ajelli
    4. Corrado Gioannini
    5. Maria Litvinova
    6. Stefano Merler
    7. Ana Pastore y Piontti
    8. Kunpeng Mu
    9. Luca Rossi
    10. Kaiyuan Sun
    11. Cécile Viboud
    12. Xinyue Xiong
    13. Hongjie Yu
    14. M. Elizabeth Halloran
    15. Ira M. Longini
    16. Alessandro Vespignani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. SARS-CoV-2 Infects Human Engineered Heart Tissues and Models COVID-19 Myocarditis

    1. Adam L. Bailey
    2. Oleksandr Dmytrenko
    3. Lina Greenberg
    4. Andrea L. Bredemeyer
    5. Pan Ma
    6. Jing Liu
    7. Vinay Penna
    8. Lulu Lai
    9. Emma S. Winkler
    10. Sanja Sviben
    11. Erin Brooks
    12. Ajith P. Nair
    13. Kent A. Heck
    14. Aniket S. Rali
    15. Leo Simpson
    16. Mehrdad Saririan
    17. Dan Hobohm
    18. W. Tom Stump
    19. James A. Fitzpatrick
    20. Xuping Xie
    21. Pei-Yong Shi
    22. J. Travis Hinson
    23. Weng-Tein Gi
    24. Constanze Schmidt
    25. Florian Leuschner
    26. Chieh-Yu Lin
    27. Michael S. Diamond
    28. Michael J. Greenberg
    29. Kory J. Lavine

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. What support do frontline workers want? A qualitative study of health and social care workers’ experiences and views of psychosocial support during the COVID-19 pandemic

    1. Jo Billings
    2. Nada Abou Seif
    3. Siobhan Hegarty
    4. Tamara Ondruskova
    5. Emilia Soulios
    6. Michael Bloomfield
    7. Talya Greene

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Modelling the impact of contact tracing of symptomatic individuals on the COVID-19 epidemic

    1. Marcos Amaku
    2. Dimas Tadeu Covas
    3. Francisco Antonio Bezerra Coutinho
    4. Raymundo Soares Azevedo
    5. Eduardo Massad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Public Preferences for Government Response Policies on Outbreak Control

    1. Semra Ozdemir
    2. Si Ning Germaine Tan
    3. Isha Chaudhry
    4. Chetna Malhotra
    5. Eric Andrew Finkelstein

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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