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. Comparative analysis of human coronaviruses focusing on nucleotide variability and synonymous codon usage patterns

    1. Jayanta Kumar Das
    2. Swarup Roy

    Reviewed by ScreenIT

    4 evaluationsAppears in 1 listLatest version Latest activity

  2. Vaccination strategies for minimizing loss of life in Covid-19 in a Europe lacking vaccines

    1. Patrick Hunziker

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. The receptor binding domain of SARS-CoV-2 spike is the key target of neutralizing antibody in human polyclonal sera

    1. Tara L. Steffen
    2. E. Taylor Stone
    3. Mariah Hassert
    4. Elizabeth Geerling
    5. Brian T. Grimberg
    6. Ana M. Espino
    7. Petraleigh Pantoja
    8. Consuelo Climent
    9. Daniel F. Hoft
    10. Sarah L. George
    11. Carlos A. Sariol
    12. Amelia K. Pinto
    13. James D. Brien

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Accessioning and automation compatible anterior nares swab design

    1. Mary E. Pettit
    2. Sarah A. Boswell
    3. Jason Qian
    4. Richard Novak
    5. Michael Springer

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  5. Characterization of a novel, low-cost, scalable vaporized hydrogen peroxide system for sterilization of N95 respirators and other COVID-19 related personal protective equipment

    1. Nikhil Dave
    2. Katie Sue Pascavis
    3. John Patterson
    4. David Wallace
    5. Abhik Chowdhury
    6. Morteza Abbaszadegan
    7. Absar Alum
    8. Pierre Herckes
    9. Zhaobo Zhang
    10. Michael Kozicki
    11. Erica Forzani
    12. S. Jimena Mora
    13. Josh Chang
    14. Clinton Ewell
    15. Tyler Smith
    16. Mark Naufel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Antibiotic Use and Associated Risk Factors for Antibiotic Prescribing in COVID-19 Hospitalized Patients

    1. Alysa J. Martin
    2. Stephanie Shulder
    3. David Dobrzynski
    4. Katelyn Quartuccio
    5. Kelly E. Pillinger

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. SARS-CoV-2 infection and transmission in school settings during the second COVID-19 wave: a cross-sectional study, Berlin, Germany, November 2020

    1. Stefanie Theuring
    2. Marlene Thielecke
    3. Welmoed van Loon
    4. Franziska Hommes
    5. Claudia Hülso
    6. Annkathrin von der Haar
    7. Jennifer Körner
    8. Michael Schmidt
    9. Falko Böhringer
    10. Marcus A Mall
    11. Alexander Rosen
    12. Christof von Kalle
    13. Valerie Kirchberger
    14. Tobias Kurth
    15. Joachim Seybold
    16. Frank P Mockenhaupt
    17. BECOSS Study Group

    Reviewed by ScreenIT, NCRC

    2 evaluationsAppears in 3 listsLatest version Latest activity

  8. Oligonucleotide capture sequencing of the SARS-CoV-2 genome and subgenomic fragments from COVID-19 individuals

    1. Harsha Doddapaneni
    2. Sara Javornik Cregeen
    3. Richard Sucgang
    4. Qingchang Meng
    5. Xiang Qin
    6. Vasanthi Avadhanula
    7. Hsu Chao
    8. Vipin Menon
    9. Erin Nicholson
    10. David Henke
    11. Felipe-Andres Piedra
    12. Anubama Rajan
    13. Zeineen Momin
    14. Kavya Kottapalli
    15. Kristi L. Hoffman
    16. Fritz J. Sedlazeck
    17. Ginger Metcalf
    18. Pedro A. Piedra
    19. Donna M. Muzny
    20. Joseph F. Petrosino
    21. Richard A. Gibbs

    Reviewed by ScreenIT

    3 evaluationsAppears in 1 listLatest version Latest activity

  9. Statistical and Network-Based Analysis of Italian COVID-19 Data: Communities Detection and Temporal Evolution

    1. Marianna Milano
    2. Mario Cannataro

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Optimizing COVID-19 control with asymptomatic surveillance testing in a university environment

    1. Cara E. Brook
    2. Graham R. Northrup
    3. Alexander J. Ehrenberg
    4. Jennifer A. Doudna
    5. Mike Boots

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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