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. Population age structure only partially explains the large number of COVID-19 deaths at the oldest ages

    1. Anthony Medford
    2. Sergi Trias-Llimós

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Platelet‐activating immune complexes identified in critically ill COVID‐19 patients suspected of heparin‐induced thrombocytopenia

    1. Ishac Nazy
    2. Stefan D. Jevtic
    3. Jane C. Moore
    4. Angela Huynh
    5. James W. Smith
    6. John G. Kelton
    7. Donald M. Arnold

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Serological responses to SARS-CoV-2 following non-hospitalised infection: clinical and ethnodemographic features associated with the magnitude of the antibody response

    1. Adrian M Shields
    2. Sian E Faustini
    3. Marisol Perez-Toledo
    4. Sian Jossi
    5. Joel D Allen
    6. Saly Al-Taei
    7. Claire Backhouse
    8. Lynsey A Dunbar
    9. Daniel Ebanks
    10. Beena Emmanuel
    11. Aduragbemi A Faniyi
    12. Mark Garvey
    13. Annabel Grinbergs
    14. Golaleh McGinnell
    15. Joanne O'Neill
    16. Yasunori Watanabe
    17. Max Crispin
    18. David C Wraith
    19. Adam F Cunningham
    20. Mark T Drayson
    21. Alex G Richter

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Estimating the SARS-CoV-2 infection fatality rate by data combination: the case of Germany’s first wave

    1. Thomas Dimpfl
    2. Jantje Sönksen
    3. Ingo Bechmann
    4. Joachim Grammig

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. COVID 19 Pandemic: A Real-time Forecasts & Prediction of Confirmed Cases, Active Cases using the ARIMA model & Public Health in West Bengal, India

    1. Dibash Sarkar
    2. Moinak Biswas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The spectrum of COVID-19–associated dermatologic manifestations: An international registry of 716 patients from 31 countries

    1. Esther E. Freeman
    2. Devon E. McMahon
    3. Jules B. Lipoff
    4. Misha Rosenbach
    5. Carrie Kovarik
    6. Seemal R. Desai
    7. Joanna Harp
    8. Junko Takeshita
    9. Lars E. French
    10. Henry W. Lim
    11. Bruce H. Thiers
    12. George J. Hruza
    13. Lindy P. Fox

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. SARS-CoV-2 RBD-specific and NP-specific antibody response of healthcare workers in the westernmost Austrian state Vorarlberg: a prospective cohort study

    1. Michele Atzl
    2. Axel Muendlein
    3. Thomas Winder
    4. Peter Fraunberger
    5. Eva-Maria Brandtner
    6. Kathrin Geiger
    7. Miriam Klausberger
    8. Mark Duerkop
    9. Lukas Sprenger
    10. Beatrix Mutschlechner
    11. Andreas Volgger
    12. Magdalena Benda
    13. Luciano Severgnini
    14. Johannes B Jaeger
    15. Heinz Drexel
    16. Alois Lang
    17. Andreas Leiherer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Methyltransferase-like 3 Modulates Severe Acute Respiratory Syndrome Coronavirus-2 RNA N6-Methyladenosine Modification and Replication

    1. Xueyan Zhang
    2. Haojie Hao
    3. Li Ma
    4. Yecheng Zhang
    5. Xiao Hu
    6. Zhen Chen
    7. Di Liu
    8. Jianhui Yuan
    9. Zhangli Hu
    10. Wuxiang Guan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Galectin-3 as a potential prognostic biomarker of severe COVID-19 in SARS-CoV-2 infected patients

    1. Eduardo Cervantes-Alvarez
    2. Nathaly Limon-de la Rosa
    3. Moises Salgado-de la Mora
    4. Paola Valdez-Sandoval
    5. Mildred Palacios-Jimenez
    6. Fatima Rodriguez-Alvarez
    7. Brenda I. Vera-Maldonado
    8. Eduardo Aguirre-Aguilar
    9. Juan Manuel Escobar-Valderrama
    10. Jorge Alanis-Mendizabal
    11. Osvely Méndez-Guerrero
    12. Farid Tejeda-Dominguez
    13. Jiram Torres-Ruíz
    14. Diana Gómez-Martín
    15. Kathryn L. Colborn
    16. David Kershenobich
    17. Christene A. Huang
    18. Nalu Navarro-Alvarez

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. COVID-19 related immunization disruptions in Rajasthan, India: A retrospective observational study

    1. Radhika Jain
    2. Ambika Chopra
    3. Camille Falézan
    4. Mustufa Patel
    5. Pascaline Dupas

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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