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. Suitability of Google Trends™ for Digital Surveillance During Ongoing COVID-19 Epidemic: A Case Study from India

    1. Parmeshwar Satpathy
    2. Sanjeev Kumar
    3. Pankaj Prasad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Positive outcomes of COVID-19 research-related gender policy changes

    1. Holly O. Witteman
    2. Jenna Haverfield
    3. Cara Tannenbaum

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Development of a qualitative real-time RT-PCR assay for the detection of SARS-CoV-2: a guide and case study in setting up an emergency-use, laboratory-developed molecular microbiological assay

    1. Melis N Anahtar
    2. Bennett M Shaw
    3. Damien Slater
    4. Elizabeth H Byrne
    5. Yolanda Botti-Lodovico
    6. Gordon Adams
    7. Stephen F Schaffner
    8. Jacqueline Eversley
    9. Graham E G McGrath
    10. Tasos Gogakos
    11. Jochen Lennerz
    12. Hetal Desai Marble
    13. Lauren L Ritterhouse
    14. Julie M Batten
    15. N Zeke Georgantas
    16. Rebecca Pellerin
    17. Sylvia Signorelli
    18. Julia Thierauf
    19. Molly Kemball
    20. Christian Happi
    21. Donald S Grant
    22. Daouda Ndiaye
    23. Katherine J Siddle
    24. Samar B Mehta
    25. Jason B Harris
    26. Edward T Ryan
    27. Virginia M Pierce
    28. Regina C LaRocque
    29. Jacob E Lemieux
    30. Pardis C Sabeti
    31. Eric S Rosenberg
    32. John A Branda
    33. Sarah E Turbett

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Dietary Nicotianamine as a Factor in International Variations of Mortality from Covid-19

    1. Charles E. Day

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Health Care Workers' Mental Health During the First Weeks of the SARS-CoV-2 Pandemic in Switzerland—A Cross-Sectional Study

    1. Sonja Weilenmann
    2. Jutta Ernst
    3. Heidi Petry
    4. Monique C. Pfaltz
    5. Onur Sazpinar
    6. Samuel Gehrke
    7. Francesca Paolercio
    8. Roland von Känel
    9. Tobias R. Spiller

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  6. Understanding and addressing challenges for advance care planning in the COVID-19 pandemic: An analysis of the UK CovPall survey data from specialist palliative care services

    1. Andy Bradshaw
    2. Lesley Dunleavy
    3. Catherine Walshe
    4. Nancy Preston
    5. Rachel L Cripps
    6. Mevhibe Hocaoglu
    7. Sabrina Bajwah
    8. Matthew Maddocks
    9. Adejoke O Oluyase
    10. Katherine Sleeman
    11. Irene J Higginson
    12. Lorna Fraser
    13. Fliss Murtagh
    14. On behalf of the CovPall study team

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. FebriDx point-of-care test in patients with suspected COVID-19: a systematic review and individual patient data meta-analysis of diagnostic test accuracy studies

    1. Samuel G. Urwin
    2. B. Clare Lendrem
    3. Jana Suklan
    4. Kile Green
    5. Sara Graziadio
    6. Peter Buckle
    7. Paul M. Dark
    8. Adam L. Gordon
    9. Daniel S. Lasserson
    10. Brian Nicholson
    11. D. Ashley Price
    12. Charles Reynard
    13. Mark H. Wilcox
    14. Gail Hayward
    15. Graham Prestwich
    16. Valerie Tate
    17. Tristan W. Clark
    18. Raja V. Reddy
    19. Hamish Houston
    20. Ankur Gupta-Wright
    21. Laurence John
    22. Richard Body
    23. A. Joy Allen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Identifying organ dysfunction trajectory-based subphenotypes in critically ill patients with COVID-19

    1. Chang Su
    2. Zhenxing Xu
    3. Katherine Hoffman
    4. Parag Goyal
    5. Monika M. Safford
    6. Jerry Lee
    7. Sergio Alvarez-Mulett
    8. Luis Gomez-Escobar
    9. David R. Price
    10. John S. Harrington
    11. Lisa K. Torres
    12. Fernando J. Martinez
    13. Thomas R. Campion
    14. Fei Wang
    15. Edward J. Schenck

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Demystifying the spreading of pandemics I: The fractal kinetics SI model quantifies the dynamics of COVID-19

    1. Panos Macheras
    2. Kosmas Kosmidis
    3. Pavlos Chryssafidis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. State-level COVID-19 Trend Forecasting Using Mobility and Policy Data

    1. Yifei Wang
    2. Hao (Michael) Peng
    3. Long Sha
    4. Zheyuan Liu
    5. Pengyu Hong

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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