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. Multi-color super-resolution imaging to study human coronavirus RNA during cellular infection

    1. Jiarui Wang
    2. Mengting Han
    3. Anish R. Roy
    4. Haifeng Wang
    5. Leonhard Möckl
    6. Leiping Zeng
    7. W.E. Moerner
    8. Lei S. Qi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. The Impact of Cocirculating Pathogens on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)/Coronavirus Disease 2019 Surveillance: How Concurrent Epidemics May Introduce Bias and Decrease the Observed SARS-CoV-2 Percentage Positivity

    1. Aleksandra Kovacevic
    2. Rosalind M Eggo
    3. Marc Baguelin
    4. Matthieu Domenech de Cellès
    5. Lulla Opatowski

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Operationalizing a routine wastewater monitoring laboratory for SARS-CoV-2

    1. Rose S. Kantor
    2. Hannah D. Greenwald
    3. Lauren C. Kennedy
    4. Adrian Hinkle
    5. Sasha Harris-Lovett
    6. Matthew Metzger
    7. Melissa M. Thornton
    8. Justin M. Paluba
    9. Kara L. Nelson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. A Combination of Receptor-Binding Domain and N-Terminal Domain Neutralizing Antibodies Limits the Generation of SARS-CoV-2 Spike Neutralization-Escape Mutants

    1. Denise Haslwanter
    2. M. Eugenia Dieterle
    3. Anna Z. Wec
    4. Cecilia M. O’Brien
    5. Mrunal Sakharkar
    6. Catalina Florez
    7. Karen Tong
    8. C. Garrett Rappazzo
    9. Gorka Lasso
    10. Olivia Vergnolle
    11. Ariel S. Wirchnianski
    12. Robert H. Bortz
    13. Ethan Laudermilch
    14. J. Maximilian Fels
    15. Amanda Mengotto
    16. Ryan J. Malonis
    17. George I. Georgiev
    18. Jose A. Quiroz
    19. Daniel Wrapp
    20. Nianshuang Wang
    21. Kathryn E. Dye
    22. Jason Barnhill
    23. John M. Dye
    24. Jason S. McLellan
    25. Johanna P. Daily
    26. Jonathan R. Lai
    27. Andrew S. Herbert
    28. Laura M. Walker
    29. Kartik Chandran
    30. Rohit K. Jangra

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Monitoring Group Activity of Hamsters and Mice as a Novel Tool to Evaluate COVID-19 Progression, Convalescence, and rVSV-ΔG-Spike Vaccination Efficacy

    1. Sharon Melamed
    2. Boaz Politi
    3. Ettie Grauer
    4. Hagit Achdout
    5. Moshe Aftalion
    6. David Gur
    7. Hadas Tamir
    8. Yfat Yahalom-Ronen
    9. Shlomy Maimon
    10. Efi Yitzhak
    11. Shay Weiss
    12. Amir Rosner
    13. Noam Erez
    14. Shmuel Yitzhaki
    15. Shmuel C Shapira
    16. Nir Paran
    17. Emanuelle Mamroud
    18. Yaron Vagima
    19. Tomer Israely

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. COVID-19 infections in day care centres in Germany: social and organisational determinants of infections in children and staff in the second and third wave of the pandemic

    1. Franz Neuberger
    2. Mariana Grgic
    3. Svenja Diefenbacher
    4. Florian Spensberger
    5. Ann-Sophie Lehfeld
    6. Udo Buchholz
    7. Walter Haas
    8. Bernhard Kalicki
    9. Susanne Kuger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. A Novel Saliva RT-LAMP Workflow for Rapid Identification of COVID-19 Cases and Restraining Viral Spread

    1. Gerson Shigeru Kobayashi
    2. Luciano Abreu Brito
    3. Danielle de Paula Moreira
    4. Angela May Suzuki
    5. Gabriella Shih Ping Hsia
    6. Lylyan Fragoso Pimentel
    7. Ana Paula Barreto de Paiva
    8. Carolina Regoli Dias
    9. Naila Cristina Vilaça Lourenço
    10. Beatriz Araujo Oliveira
    11. Erika Regina Manuli
    12. Marcelo Andreetta Corral
    13. Natale Cavaçana
    14. Miguel Mitne-Neto
    15. Maria Mirtes Sales
    16. Luiz Phellipe Dell’ Aquila
    17. Alvaro Razuk Filho
    18. Eduardo Fagundes Parrillo
    19. Maria Cássia Mendes-Corrêa
    20. Ester Cerdeira Sabino
    21. Silvia Figueiredo Costa
    22. Fabio Eudes Leal
    23. Germán Gustavo Sgro
    24. Chuck Shaker Farah
    25. Mayana Zatz
    26. Maria Rita Passos-Bueno

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. g-CXR-Net: A Graphic Application for the Rapid Recognition of SARS-CoV-2 from Chest X-Rays

    1. Domenico L. Gatti

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. A year of COVID-19 GWAS results from the GRASP portal reveals potential genetic risk factors

    1. Florian Thibord
    2. Melissa V. Chan
    3. Ming-Huei Chen
    4. Andrew D. Johnson

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Evaluating the Utility of High-Resolution Proximity Metrics in Predicting the Spread of COVID-19

    1. Zakaria Mehrab
    2. Aniruddha Adiga
    3. Madhav V. Marathe
    4. Srinivasan Venkatramanan
    5. Samarth Swarup

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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