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. The Anti-histamine Azelastine, Identified by Computational Drug Repurposing, Inhibits SARS-CoV-2 Infection in Reconstituted Human Nasal Tissue In Vitro

    1. Robert Konrat
    2. Henrietta Papp
    3. Valéria Szijártó
    4. Tanja Gesell
    5. Gábor Nagy
    6. Mónika Madai
    7. Safia Zeghbib
    8. Anett Kuczmog
    9. Zsófia Lanszki
    10. Zsuzsanna Helyes
    11. Gábor Kemenesi
    12. Ferenc Jakab
    13. Eszter Nagy

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Forecasting the outbreak of COVID-19 in Lebanon

    1. Omar El Deeb
    2. Maya Jalloul

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Performance Characteristics of a High-Throughput Automated Transcription-Mediated Amplification Test for SARS-CoV-2 Detection

    1. Jimmykim Pham
    2. Sarah Meyer
    3. Catherine Nguyen
    4. Analee Williams
    5. Melissa Hunsicker
    6. Ian McHardy
    7. Inessa Gendlina
    8. D. Yitzchak Goldstein
    9. Amy S. Fox
    10. Angela Hudson
    11. Paul Darby
    12. Paul Hovey
    13. Jose Morales
    14. James Mitchell
    15. Karen Harrington
    16. Mehrdad Majlessi
    17. Joshua Moberly
    18. Ankur Shah
    19. Andrew Worlock
    20. Marion Walcher
    21. Barbara Eaton
    22. Damon Getman
    23. Craig Clark

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. How to decide which COVID-19 patient with myocardial infarction to send to the Cath Lab? - A case series of COVID-19 patients with myocardial infarction

    1. Iana Simova
    2. Denis Nikolov
    3. Nikolay Dimitrov
    4. Vladimir Kornovski
    5. Vesela Tomova
    6. Toni Vekov
    7. Yordan Krasnaliev

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Umbilical cord blood-derived microglia-like cells to model COVID-19 exposure

    1. Steven D. Sheridan
    2. Jessica M. Thanos
    3. Rose M. De Guzman
    4. Liam T. McCrea
    5. Joy E. Horng
    6. Ting Fu
    7. Carl M. Sellgren
    8. Roy H. Perlis
    9. Andrea G. Edlow

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. High prevalence of symptoms among Brazilian subjects with antibodies against SARS-CoV-2

    1. Ana M. B. Menezes
    2. Cesar G. Victora
    3. Fernando P. Hartwig
    4. Mariângela F. Silveira
    5. Bernardo L. Horta
    6. Aluísio J. D. Barros
    7. Marilia A. Mesenburg
    8. Fernando C. Wehrmeister
    9. Lúcia C. Pellanda
    10. Odir A. Dellagostin
    11. Cláudio J. Struchiner
    12. Marcelo N. Burattini
    13. Fernando C. Barros
    14. Pedro C. Hallal

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Spatial variability in reproduction number and doubling time across two waves of the COVID-19 pandemic in South Korea, February to July, 2020

    1. Eunha Shim
    2. Amna Tariq
    3. Gerardo Chowell

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Impact of Meteorological factors and population size on the transmission of Micro-size respiratory droplets based Coronavirus: A brief study of highly infected cities in Pakistan

    1. Iram Shahzadi
    2. Anum Shahzadi
    3. Junaid Haider
    4. Sadia Naz
    5. Rai. M. Aamir
    6. Ali Haider
    7. Hafiz Rizwan Sharif
    8. Imran Mahmood Khan
    9. Muhammad Ikram

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Circulating mitochondrial DNA is an early indicator of severe illness and mortality from COVID-19

    1. Davide Scozzi
    2. Marlene Cano
    3. Lina Ma
    4. Dequan Zhou
    5. Ji Hong Zhu
    6. Jane A. O’Halloran
    7. Charles Goss
    8. Adriana M. Rauseo
    9. Zhiyi Liu
    10. Sanjaya K. Sahu
    11. Valentina Peritore
    12. Monica Rocco
    13. Alberto Ricci
    14. Rachele Amodeo
    15. Laura Aimati
    16. Mohsen Ibrahim
    17. Ramsey Hachem
    18. Daniel Kreisel
    19. Philip A. Mudd
    20. Hrishikesh S. Kulkarni
    21. Andrew E. Gelman

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  10. Scalable, effective, and rapid decontamination of SARS-CoV-2 contaminated N95 respirators using germicidal ultraviolet C (UVC) irradiation device

    1. Raveen Rathnasinghe
    2. Robert F. Karlicek
    3. Michael Schotsaert
    4. Mattheos Koffas
    5. Brigitte L. Arduini
    6. Sonia Jangra
    7. Bowen Wang
    8. Jason L. Davis
    9. Mohammed Alnaggar
    10. Anthony Costa
    11. Richard Vincent
    12. Adolfo García-Sastre
    13. Deepak Vashishth
    14. Priti Balchandani

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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