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. Bayesian Calibration of Using CO 2 Sensors to Assess Ventilation Conditions and Associated COVID-19 Airborne Aerosol Transmission Risk in Schools

    1. Danlin Hou
    2. Ali Katal
    3. Liangzhu (Leon) Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. COVID-19: Rapid Antigen detection for SARS-CoV-2 by lateral flow assay: a national systematic evaluation for mass-testing

    1. Tim Peto
    2. UK COVID-19 Lateral Flow Oversight Team

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  3. Understanding the CoVID-19 pandemic Curve through statistical approach

    1. Ibrar ul Hassan Akhtar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Impact of the COVID-19 Pandemic on the Psychological Distress of Medical Students in Japan: Cross-sectional Survey Study

    1. Yoshito Nishimura
    2. Kanako Ochi
    3. Kazuki Tokumasu
    4. Mikako Obika
    5. Hideharu Hagiya
    6. Hitomi Kataoka
    7. Fumio Otsuka

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Time between Symptom Onset, Hospitalisation and Recovery or Death: Statistical Analysis of Belgian COVID-19 Patients

    1. Christel Faes
    2. Steven Abrams
    3. Dominique Van Beckhoven
    4. Geert Meyfroidt
    5. Erika Vlieghe
    6. Niel Hens
    7. Belgian Collaborative Group on COVID-19 Hospital Surveillance

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Immunochromatographic SARS-CoV-2 IgG antibody assay: a cross-sectional study conducted at Wakayama Medical University in Japan

    1. Sadahiro Iwabuchi
    2. Masahiro Katsuda
    3. Yusuke Koizumi
    4. Mayuko Hatai
    5. Mitsue Kojima
    6. Nahomi Tokudome
    7. Shinobu Tamura
    8. Machiko Nishio
    9. Toshikazu Kondo
    10. Masaya Hironisi
    11. Chiemi Kakutani
    12. Hiroki Yamaue
    13. Shinichi Hashimoto

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. NeutrobodyPlex - Nanobodies to monitor a SARS-CoV-2 neutralizing immune response

    1. Teresa R. Wagner
    2. Philipp D. Kaiser
    3. Marius Gramlich
    4. Elena Ostertag
    5. Natalia Ruetalo
    6. Daniel Junker
    7. Julia Haering
    8. Bjoern Traenkle
    9. Matthias Becker
    10. Alex Dulovic
    11. Helen Schweizer
    12. Stefan Nueske
    13. Armin Scholz
    14. Anne Zeck
    15. Katja Schenke-Layland
    16. Annika Nelde
    17. Monika Strengert
    18. Juliane S. Walz
    19. Georg Zocher
    20. Thilo Stehle
    21. Michael Schindler
    22. Nicole Schneiderhan-Marra
    23. Ulrich Rothbauer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Diagnostic TR-FRET assays for detection of antibodies in patient samples

    1. Hong Yue
    2. Radosław P. Nowak
    3. Daan Overwijn
    4. N. Connor Payne
    5. Stephanie Fischinger
    6. Caroline Atyeo
    7. Evan C. Lam
    8. Kerri St. Denis
    9. Lauren K. Brais
    10. Yoshinobu Konishi
    11. Romanos Sklavenitis-Pistofidis
    12. Lindsey R. Baden
    13. Eric J. Nilles
    14. Elizabeth W. Karlson
    15. Xu G. Yu
    16. Jonathan Z. Li
    17. Ann E. Woolley
    18. Irene M. Ghobrial
    19. Jeffrey A. Meyerhardt
    20. Alejandro B. Balazs
    21. Galit Alter
    22. Ralph Mazitschek
    23. Eric S. Fischer

    Reviewed by ScreenIT, Rapid Reviews Infectious Diseases

    4 evaluationsAppears in 2 listsLatest version Latest activity

  9. Outcomes of COVID‐19‐positive acute coronary syndrome patients: A multisource electronic healthcare records study from England

    1. Muhammad Rashid
    2. Jianhua Wu
    3. Adam Timmis
    4. Nick Curzen
    5. Sarah Clarke
    6. Azfar Zaman
    7. James Nolan
    8. Ahmad Shoaib
    9. Mohamed O Mohamed
    10. Mark A. de Belder
    11. John Deanfield
    12. Chris P. Gale
    13. Mamas A. Mamas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Tracking the dynamics and allocating tests for COVID-19 in real-time: An acceleration index with an application to French age groups and départements

    1. Christelle Baunez
    2. Mickael Degoulet
    3. Stéphane Luchini
    4. Patrick A. Pintus
    5. Miriam Teschl

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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