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. COVID-19 Vaccine Acceptance among Health Care Workers in the United States

    1. Rahul Shekhar
    2. Abu Baker Sheikh
    3. Shubhra Upadhyay
    4. Mriganka Singh
    5. Saket Kottewar
    6. Hamza Mir
    7. Eileen Barrett
    8. Suman Pal

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  2. Temporal course of SARS-CoV-2 antibody positivity in patients with COVID-19 following the first clinical presentation

    1. Martin Risch
    2. Myriam Weber
    3. Sarah Thiel
    4. Kirsten Grossmann
    5. Nadia Wohlwend
    6. Thomas Lung
    7. Dorothea Hillmann
    8. Michael Ritzler
    9. Francesca Ferrara
    10. Susanna Bigler
    11. Konrad Egli
    12. Thomas Bodmer
    13. Mauro Imperiali
    14. Yacir Salimi
    15. Felix Fleisch
    16. Alexia Cusini
    17. Harald Renz
    18. Philipp Kohler
    19. Pietro Vernazza
    20. Christian Kahlert
    21. Matthias Paprotny
    22. Lorenz Risch

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Microfluidic Nano-Scale qPCR Enables Ultra-Sensitive and Quantitative Detection of SARS-CoV-2

    1. Xin Xie
    2. Tamara Gjorgjieva
    3. Zaynoun Attieh
    4. Mame Massar Dieng
    5. Marc Arnoux
    6. Mostafa Khair
    7. Yasmine Moussa
    8. Fatima Al Jallaf
    9. Nabil Rahiman
    10. Christopher A. Jackson
    11. Lobna El Messery
    12. Khristine Pamplona
    13. Zyrone Victoria
    14. Mohammed Zafar
    15. Raghib Ali
    16. Fabio Piano
    17. Kristin C. Gunsalus
    18. Youssef Idaghdour

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. SARS-CoV-2 antibodies in the Southern Region of New Zealand, 2020

    1. Alyson Craigie
    2. Reuben McGregor
    3. Alana L. Whitcombe
    4. Lauren Carlton
    5. David Harte
    6. Michelle Sutherland
    7. Matthew Parry
    8. Erasmus Smit
    9. Gary McAuliffe
    10. James Ussher
    11. Nicole J. Moreland
    12. Susan Jack
    13. Arlo Upton

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The landscape of human brain immune response in patients with severe COVID-19

    1. John F. Fullard
    2. Hao-Chih Lee
    3. Georgios Voloudakis
    4. Shengbao Suo
    5. Zhiping Shao
    6. Cyril Peter
    7. Behnam Javidfar
    8. Wen Zhang
    9. Shan Jiang
    10. André Corvelo
    11. Emma Woodoff-Leith
    12. Dushyant P. Purohit
    13. Gabriel E. Hoffman
    14. Schahram Akbarian
    15. Mary Fowkes
    16. John Crary
    17. Guo-Cheng Yuan
    18. Panos Roussos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. An environmental determinant of viral respiratory disease

    1. Yeon-Woo Choi
    2. Alexandre Tuel
    3. Elfatih A. B. Eltahir

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Evaluation of a fully automated high-throughput SARS-CoV-2 multiplex qPCR assay with built-in screening functionality for del-HV69/70- and N501Y variants such as B.1.1.7

    1. Dominik Nörz
    2. Moritz Grunwald
    3. Flaminia Olearo
    4. Nicole Fischer
    5. Martin Aepfelbacher
    6. Susanne Pfefferle
    7. Marc Lütgehetmann

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Multi-modality detection of SARS-CoV-2 in faecal donor samples for transplantation and in asymptomatic emergency surgical admissions

    1. Susan E. Manzoor
    2. Shafquat Zaman
    3. Celina Whalley
    4. David Inglis
    5. Andrew Bosworth
    6. Michael Kidd
    7. Sahida Shabir
    8. Nabil Quraishi
    9. Christopher A. Green
    10. Tariq Iqbal
    11. Andrew D. Beggs

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Efficiency of Artificial Intelligence in Detecting COVID-19 Pneumonia and Other Pneumonia Causes by Quantum Fourier Transform Method

    1. Erdi Acar
    2. Bilge Öztoprak
    3. Mustafa Reşorlu
    4. Murat Daş
    5. İhsan Yılmaz
    6. İbrahim Öztoprak

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Transcriptomics-based drug repositioning pipeline identifies therapeutic candidates for COVID-19

    1. Brian L. Le
    2. Gaia Andreoletti
    3. Tomiko Oskotsky
    4. Albert Vallejo-Gracia
    5. Romel Rosales
    6. Katharine Yu
    7. Idit Kosti
    8. Kristoffer E. Leon
    9. Daniel G. Bunis
    10. Christine Li
    11. G. Renuka Kumar
    12. Kris M. White
    13. Adolfo García-Sastre
    14. Melanie Ott
    15. Marina Sirota

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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