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. Utilization cost of maternity services for childbirth among pregnant women with coronavirus disease 2019 in Nigeria’s epicenter

    1. Aduragbemi Banke‐Thomas
    2. Christian Chigozie Makwe
    3. Mobolanle Balogun
    4. Bosede Bukola Afolabi
    5. Theresa Amaogechukwu Alex‐Nwangwu
    6. Charles Anawo Ameh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Estimation of Transmission Potential and Severity of COVID–19 in Romania and Pakistan

    1. Muhammad Ozair
    2. Takasar Hussain
    3. Mureed Hussain
    4. Aziz Ullah Awan
    5. Dumitru Baleanu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. McQ – An open-source multiplexed SARS-CoV-2 quantification platform

    1. Sibylle C Vonesch
    2. Danila Bredikhin
    3. Nikolay Dobrev
    4. Laura Villacorta
    5. Rozemarijn Kleinendorst
    6. Elisabetta Cacace
    7. Julia Flock
    8. Max Frank
    9. Ferris Jung
    10. Julia Kornienko
    11. Karin Mitosch
    12. Mireia Osuna-López
    13. Jürgen Zimmermann
    14. Stephan Göttig
    15. Axel Hamprecht
    16. Hans-Georg Kräusslich
    17. Michael Knop
    18. Athanasios Typas
    19. Lars M Steinmetz
    20. Vladimir Benes
    21. Kim Remans
    22. Arnaud R Krebs

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. The Effect of Smoking on COVID-19 Symptom Severity: Systematic Review and Meta-Analysis

    1. Askin Gülsen
    2. Burcu Arpinar Yigitbas
    3. Berat Uslu
    4. Daniel Drömann
    5. Oguz Kilinc

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Breadth and function of antibody response to acute SARS-CoV-2 infection in humans

    1. Kuan-Ying A. Huang
    2. Tiong Kit Tan
    3. Ting-Hua Chen
    4. Chung-Guei Huang
    5. Ruth Harvey
    6. Saira Hussain
    7. Cheng-Pin Chen
    8. Adam Harding
    9. Javier Gilbert-Jaramillo
    10. Xu Liu
    11. Michael Knight
    12. Lisa Schimanski
    13. Shin-Ru Shih
    14. Yi-Chun Lin
    15. Chien-Yu Cheng
    16. Shu-Hsing Cheng
    17. Yhu-Chering Huang
    18. Tzou-Yien Lin
    19. Jia-Tsrong Jan
    20. Che Ma
    21. William James
    22. Rodney S. Daniels
    23. John W. McCauley
    24. Pramila Rijal
    25. Alain R. Townsend

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Is the end near? When the different countries will surmount COVID-19 pandemic: new approach applying physical, mathematical and game theory models

    1. J. G. García de Alcañíz
    2. V. López-Rodas
    3. E. Costas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. UK prevalence of underlying conditions which increase the risk of severe COVID-19 disease: a point prevalence study using electronic health records

    1. Jemma L. Walker
    2. Daniel J. Grint
    3. Helen Strongman
    4. Rosalind M. Eggo
    5. Maria Peppa
    6. Caroline Minassian
    7. Kathryn E. Mansfield
    8. Christopher T. Rentsch
    9. Ian J. Douglas
    10. Rohini Mathur
    11. Angel Y. S. Wong
    12. Jennifer K. Quint
    13. Nick Andrews
    14. Jamie Lopez Bernal
    15. J. Anthony Scott
    16. Mary Ramsay
    17. Liam Smeeth
    18. Helen I. McDonald

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Regression Models for Predictions of COVID-19 New Cases and New Deaths Based on May/June Data in Ethiopia

    1. Alemayehu Siffir Argawu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Genetic variability in COVID-19-related genes in the Brazilian population

    1. Rodrigo Secolin
    2. Tânia K. de Araujo
    3. Marina C. Gonsales
    4. Cristiane S. Rocha
    5. Michel Naslavsky
    6. Luiz De Marco
    7. Maria A. C. Bicalho
    8. Vinicius L. Vazquez
    9. Mayana Zatz
    10. Wilson A. Silva
    11. Iscia Lopes-Cendes

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Tissue Level Profiling of SARS-CoV-2 antivirals in mice to predict their effects: comparing Remdesivir’s active metabolite GS-441 524 vs. the clinically failed Hydroxychloroquine

    1. Oliver Scherf-Clavel
    2. Edith Kaczmarek
    3. Martina Kinzig
    4. Bettina Friedl
    5. Malte Feja
    6. Rainer Höhl
    7. Roland Nau
    8. Ulrike Holzgrabe
    9. Manuela Gernert
    10. Franziska Richter
    11. Fritz Sörgel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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