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. Forecasting American COVID-19 Cases and Deaths through Machine Learning

    1. Anaiy Somalwar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Methylene Blue has a potent antiviral activity against SARS-CoV-2 and H1N1 influenza virus in the absence of UV-activation in vitro

    1. Valeria Cagno
    2. Chiara Medaglia
    3. Andreas Cerny
    4. Thomas Cerny
    5. Arnaud Charles-Antoine Zwygart
    6. Erich Cerny
    7. Caroline Tapparel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Platelets Can Associate With SARS-CoV-2 RNA and Are Hyperactivated in COVID-19

    1. Younes Zaid
    2. Florian Puhm
    3. Isabelle Allaeys
    4. Abdallah Naya
    5. Mounia Oudghiri
    6. Loubna Khalki
    7. Youness Limami
    8. Nabil Zaid
    9. Khalid Sadki
    10. Rafiqua Ben El Haj
    11. Wissal Mahir
    12. Lamiae Belayachi
    13. Bouchra Belefquih
    14. Amina Benouda
    15. Amine Cheikh
    16. Marc-André Langlois
    17. Yahia Cherrah
    18. Louis Flamand
    19. Fadila Guessous
    20. Eric Boilard

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  4. Covid-19 Transmission Trajectories–Monitoring the Pandemic in the Worldwide Context

    1. Henry Loeffler-Wirth
    2. Maria Schmidt
    3. Hans Binder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Serum Proteomics in COVID-19 Patients: Altered Coagulation and Complement Status as a Function of IL-6 Level

    1. Angelo D’Alessandro
    2. Tiffany Thomas
    3. Monika Dzieciatkowska
    4. Ryan C. Hill
    5. Richard O. Francis
    6. Krystalyn E. Hudson
    7. James C. Zimring
    8. Eldad A. Hod
    9. Steven L. Spitalnik
    10. Kirk C. Hansen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Interventions for treatment of COVID-19: Second edition of a living systematic review with meta-analyses and trial sequential analyses (The LIVING Project)

    1. Sophie Juul
    2. Emil Eik Nielsen
    3. Joshua Feinberg
    4. Faiza Siddiqui
    5. Caroline Kamp Jørgensen
    6. Emily Barot
    7. Johan Holgersson
    8. Niklas Nielsen
    9. Peter Bentzer
    10. Areti Angeliki Veroniki
    11. Lehana Thabane
    12. Fanlong Bu
    13. Sarah Klingenberg
    14. Christian Gluud
    15. Janus Christian Jakobsen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Influence of obesity on serum levels of SARS-CoV-2-specific antibodies in COVID-19 patients

    1. Daniela Frasca
    2. Lisa Reidy
    3. Carolyn Cray
    4. Alain Diaz
    5. Maria Romero
    6. Kristin Kahl
    7. Bonnie B. Blomberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. BMI status and associations between affect, physical activity and anxiety among U.S. children during COVID ‐19

    1. Jasmin M. Alves
    2. Alexandra G. Yunker
    3. Alexis DeFendis
    4. Anny H. Xiang
    5. Kathleen A. Page

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Functionalized TiO2 Nanotube-Based Electrochemical Biosensor for Rapid Detection of SARS-CoV-2

    1. Bhaskar S. Vadlamani
    2. Timsy Uppal
    3. Subhash C. Verma
    4. Mano Misra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Role of Mathematical Model in Curbing COVID-19 in Nigeria

    1. Chinwendu Emilian Madubueze
    2. Nkiru Maria Akabuike
    3. Sambo Dachollom

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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